tag:blogger.com,1999:blog-67222291867568342632024-03-28T15:01:31.565-07:00Latest in Info Tech!Machine Learning / BigData / Cloud Native Applications / Internet of Things / Cloud Computing / Open Source / Oracle Apps / SAP BasisMukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.comBlogger57125tag:blogger.com,1999:blog-6722229186756834263.post-39096550066871977372024-02-13T09:13:00.000-08:002024-02-13T09:13:52.725-08:00GCP Overview<p> Similarly to the <a href="https://yadavmukund.blogspot.com/2023/10/ace-your-aws-certified-cloud.html" target="_blank">AWS summary</a>, here is the <a href="https://drive.google.com/file/d/1VYHPUkXXRSqlFDZGrOstqd3bACNHi8Qt/view?usp=sharing" target="_blank">GCP summary file</a>. </p>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-46191243826706224432023-11-01T10:18:00.005-07:002023-11-01T10:18:56.659-07:00Learn How VMware IT automated Multi Node Oracle RAC installation using vRA!<p><a href="https://www.linkedin.com/posts/mukund-y-723537a_vra-vmwareonvmware-oraclerac-activity-7125230483705147393-ZdQA?utm_source=share&utm_medium=member_desktop" target="_blank"> https://www.linkedin.com/posts/mukund-y-723537a_vra-vmwareonvmware-oraclerac-activity-7125230483705147393-ZdQA?utm_source=share&utm_medium=member_desktop</a></p>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-28365896250048806732023-10-16T11:13:00.014-07:002023-10-30T22:06:55.561-07:00Ace your AWS Certified Cloud Practitioner exam!<p><a href="https://aws.amazon.com/certification/certified-cloud-practitioner/">AWS Certified Cloud Practitioner</a> is the first step towards your advanced <a href="https://d1.awsstatic.com/training-and-certification/docs/AWS_certification_paths.pdf" target="_blank">AWS certifications</a>!</p><p>So, in this blog, I am going to share how I cleared the AWS Certified Cloud Practitioner exam on my first attempt!</p><p></p><ul style="text-align: left;"><li>First of all, on a daily basis, you have to dedicate a couple of <a href="https://yadavmukund.blogspot.com/2020/08/work-life-balance-in-covid-19-situation.html" target="_blank">hours to self-study</a>, I prefer late at night!</li><li>Create a free account in <a href="https://aws.amazon.com/" target="_blank">AWS</a> / <a href="https://learn.acloud.guru/dashboard" target="_blank">ACG</a> and keep it ready</li><li>Understand the high-level domain/section and the number of questions/weightage for each domain/section.</li><li>Go through the recorded <a href="https://pages.awscloud.com/rs/112-TZM-766/images/Ramp-Up_Guide_CloudPractitioner-PTBR.pdf" target="_blank">AWS training materials and videos</a>.</li><li>Create a mind map of the topics. Here is the screenshot of my mind map.</li></ul><p></p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjFqa5UPGVNj4oxRh0R1kcWhlBQdzVLAjXmeqOdXgWoorjzO_ZZ-Zt9YDt3mnZWq7bSBrxuYspJfZokwzUIXKnm2_KTkFrLb1VP4HZ8vHfWDguMJ4RFX3ZGjPO1LKNJ8dnn4WOIsE8lK_fEbEx0rPyMgotHeiUDuvG9Xusy7b23yNkFCnY-Q-0L-4pfSJ0" style="margin-left: 1em; margin-right: 1em;"><img alt="AWS study Mind Map" data-original-height="980" data-original-width="310" height="640" src="https://blogger.googleusercontent.com/img/a/AVvXsEjFqa5UPGVNj4oxRh0R1kcWhlBQdzVLAjXmeqOdXgWoorjzO_ZZ-Zt9YDt3mnZWq7bSBrxuYspJfZokwzUIXKnm2_KTkFrLb1VP4HZ8vHfWDguMJ4RFX3ZGjPO1LKNJ8dnn4WOIsE8lK_fEbEx0rPyMgotHeiUDuvG9Xusy7b23yNkFCnY-Q-0L-4pfSJ0=w203-h640" width="203" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><span style="color: #cc0000;">You can download the PDF version</span> <a href="https://drive.google.com/file/d/1UkDpSQDIQNlLWUtNI_A0hChAivpaoJJG/view?usp=sharing" target="_blank">here</a>.</div><p></p><p></p><ul style="text-align: left;"><li>After each chapter/section, try it on AWS / ACG, which you created earlier </li><li>After all the training is completed, attempt free sample/trial exams provided by <a href="https://explore.skillbuilder.aws/learn/course/external/view/elearning/14050/aws-certified-cloud-practitioner-official-practice-question-set-clf-c02-english" target="_blank">AWS</a> and other <a href="https://www.whizlabs.com/aws-certified-cloud-practitioner/" target="_blank">learning platforms</a>.</li><li>Check where you made mistakes during the sample/trial exam, and take down <a href="https://guides.lib.uoguelph.ca/c.php?g=697429&p=5011754" target="_blank">error notes</a>.</li><li>Review the mistakes before the next sample/trial test, and come up with a strategy.</li><li>Finally, schedule the AWS certification exam and attempt it with confidence!</li><li>Wish you all the best and let me know in the comments if this was helpful!</li></ul><p></p><p>Check out my<a href="https://www.linkedin.com/posts/mukund-y-723537a_aws-certified-cloud-practitioner-was-issued-activity-6833045904782696448-L_2d?utm_source=share&utm_medium=member_desktop"> AWS Certificate</a>! </p><p style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px;">Also, please check out my other posts related to this subject</p><ul style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif"><a href="https://yadavmukund.blogspot.com/2023/08/unveiling-power-of-multi-cloud-database.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">Power of Multi-Cloud DBaaS </span></a></span></li></ul><ul style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif"><a href="https://yadavmukund.blogspot.com/2023/07/mlops-made-easy-with-kubeflow.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">MLOps Made Easy with Kubeflow on vSphere: Streamlining Machine Learning Workflows</span></a></span></li></ul><ul style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" style="color: #336699; font-family: arial; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">Artificial Intelligence, Machine Learning, and Deep Learning for IT Operations</span></a></li></ul><ul style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/exploratory-data-analysis-using-python.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">Exploratory data analysis using Python</span></a></li></ul><ul style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/cloud-computing-and-data-analytics.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">Cloud Computing and Data Analytics fundamentals</span></a></li></ul><ul style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2016/11/operations-management.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">IT Operations Management</span></a></li></ul><ul style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/mttic-mean-time-to-identify-change-that.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">MTTIC</span></a></li></ul><ul style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/aiops-for-tenant-and-platform-operations.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">AIOps for Tenant and Platform Operation</span></a></li></ul>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com3tag:blogger.com,1999:blog-6722229186756834263.post-32131486760512270442023-10-03T23:35:00.004-07:002023-10-04T14:13:33.216-07:00My Private AI setup on laptop - Step by step guide to install LLM on your local Windows Laptop!<p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEgJ8coD-vUHf3u9pTak4bgboRWJcJtV6IIte3ZZ6dM-592peOlajbBKxYuleGOreGotX2GF-yU8P7sqDVbhFX0StMOxhCFqVJO7vWPgZtBIbRqiUGSzlQhq-N9hgACGfa1ytOafk1tUE1h5d6WJNM4YIjJX0PiAA8Y9uqiXm9t1FqYam-fDx9HzrO0Vxck" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="817" data-original-width="1102" height="296" src="https://blogger.googleusercontent.com/img/a/AVvXsEgJ8coD-vUHf3u9pTak4bgboRWJcJtV6IIte3ZZ6dM-592peOlajbBKxYuleGOreGotX2GF-yU8P7sqDVbhFX0StMOxhCFqVJO7vWPgZtBIbRqiUGSzlQhq-N9hgACGfa1ytOafk1tUE1h5d6WJNM4YIjJX0PiAA8Y9uqiXm9t1FqYam-fDx9HzrO0Vxck=w400-h296" width="400" /></a></div><p></p><p>Are you fascinated by LLMs like GPT by OpenAI, and at the same time wondering if you will compromise your privacy, IP leak, Security, or Model Inaccuracies? well, the answer is PrivateAI!</p><p>Check out how you can install and configure LLM like LLAMA 2 on your Windows laptop, and overcome the concerns listed in the above paragraph!</p><p></p><p>Before we start, I highly recommend all of you see my earlier blog which lists the difference between <a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" target="_blank">AI, ML, DL, and GenAI</a></p><p></p><p><b>Pre-requisites</b>: Windows 11, minimum 10GB RAM, Nvidia GeForce MX570 GPU </p><p><b>Manual Steps</b></p><p>1) <a href="https://visualstudio.microsoft.com/downloads/#build-tools-for-visual-studio-2022" target="_blank">Download </a>and install Visual Studio Build Tools, use the defaults like the following screenshot.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhHPPD7Mrh5m9CaAlaT3CeX71XHlmJsyv8rVjulcJjOursPA5i3pPGkW_ei0EzDSDgckhJUnpsjr-TXCWpAxxIZsEkQ7VFgx0HB_1Wcdpa_QfDkjzkUFT3xHiWSJFlR0_SS5Uu8imD_PwYVqIW4n9WcOBkkAIUEgvSMr2GzABZ6R2M1gazylOYl0-_m-b0" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="554" data-original-width="1400" height="159" src="https://blogger.googleusercontent.com/img/a/AVvXsEhHPPD7Mrh5m9CaAlaT3CeX71XHlmJsyv8rVjulcJjOursPA5i3pPGkW_ei0EzDSDgckhJUnpsjr-TXCWpAxxIZsEkQ7VFgx0HB_1Wcdpa_QfDkjzkUFT3xHiWSJFlR0_SS5Uu8imD_PwYVqIW4n9WcOBkkAIUEgvSMr2GzABZ6R2M1gazylOYl0-_m-b0=w400-h159" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: left;">2) Install <a href="https://docs.conda.io/projects/conda/en/latest/user-guide/install/windows.html" target="_blank">Conda </a>/ <a href="https://www.anaconda.com/" target="_blank">Anaconda</a>, <a href="https://git-scm.com/download/win" target="_blank">Git</a>, <a href="https://gist.github.com/evanwill/0207876c3243bbb6863e65ec5dc3f058" target="_blank">wget</a></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">3) Go to the Start menu and launch "<span style="color: #2b00fe; font-family: courier;">Anaconda Powershell prompt</span>" Run as Administrator <br /></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><span style="color: #2b00fe; font-family: courier;">> conda install PyTorch</span></div><div class="separator" style="clear: both; text-align: left;"><span style="color: #2b00fe; font-family: courier;">> conda install cuda --channel nvidia/label/cuda-11.7.0b </span></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">4) Visit the <a href="https://ai.meta.com/resources/models-and-libraries/llama-downloads/" target="_blank">Meta AI website </a>and register to download the model/s. After registration you will get an email, please don't delete this email.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><span style="color: #2b00fe; font-family: courier;">> mkdir llama2</span></div><div class="separator" style="clear: both; text-align: left;"><span style="color: #2b00fe; font-family: courier;">> cd llama2</span></div><div class="separator" style="clear: both; text-align: left;"><span style="color: #2b00fe; font-family: courier;">> git clone https://github.com/facebookresearch/llama</span></div><div class="separator" style="clear: both; text-align: left;"><span style="color: #2b00fe; font-family: courier;">run the download.sh using Git Bash</span></div><div class="separator" style="clear: both; text-align: left;"><span style="color: #2b00fe; font-family: courier;">Provide the URL that you get from the email </span></div><div class="separator" style="clear: both; text-align: left;"><span style="color: #2b00fe; font-family: courier;">Choose 7B-chat</span></div><div class="separator" style="clear: both; text-align: left;">It will take a while to download the model (it took nearly 22 min for me)</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">5) Once the model is installed, you can use it programmatically and interact with it, for which you need some GUI.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><b>Automated way: </b>If you are finding it difficult to follow manual steps, you can try following steps</div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both;"><ul style="text-align: left;"><li><span style="font-family: georgia;">Using the command prompt, clone the repo</span><span style="font-family: courier;"> "<span style="color: #2b00fe;">git clone https://github.com/oobabooga/text-generation-webui</span>"</span></li><li>From the folder, double-click on <span style="color: #2b00fe; font-family: courier;">install_windows.bat</span></li><li>This will install the required software on your laptop and start the UI <a href="http://127.0.0.1:7860/">http://127.0.0.1:7860/</a>.</li><li>Create an account at <a href="https://huggingface.co">https://huggingface.co</a>/ using the <u>same </u>email address that you have used to download the LLAMA 2 from the Facebook website.</li><li>In the local UI, in the model tab search for <span style="font-family: courier;">meta-llama/Llama-2-7b</span> and click download</li><li>For the download to start, your request should have been approved by Meta and you need to set <span style="color: #2b00fe; font-family: courier;">HF_USR and HF_PASS</span> environment variables in your local machine by generating a token in the <span style="color: #2b00fe;"><span style="font-family: courier;">Huggingface > Settings > Access Tokens</span>.</span></li><li>Once downloaded, you can refresh, select the LLAMA, and load it (Please refer the following screenshot) </li><li>Then navigate to the Chat tab and start using it without worrying about privacy, IP leaks, Security etc.</li><li>If you are facing issues in downloading Meta LLAMA, then try <span style="color: #2b00fe; font-family: courier;">VMware/open-llama-7b-v2-open-instruct</span></li><li>Enjoy your Private AI LLM set! </li></ul></div></div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjgJvEivDnwYdTImH3Nr4LWODEKi5pp9KnKZtpHKZ0kDFid7aMffpVz8DSeubCUiOjP2PEytPlu6axOuhx_sK2BXIZxP71odg6TOjqLNRVIu7O4qEvV3UB87fmVbkuF1UKveqk8at9ypsdv4rkMoMVBu51LrEwi7MOlBkqCyfFmmcP04E3j-7v9mwld8hM" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="1097" data-original-width="1895" height="231" src="https://blogger.googleusercontent.com/img/a/AVvXsEjgJvEivDnwYdTImH3Nr4LWODEKi5pp9KnKZtpHKZ0kDFid7aMffpVz8DSeubCUiOjP2PEytPlu6axOuhx_sK2BXIZxP71odg6TOjqLNRVIu7O4qEvV3UB87fmVbkuF1UKveqk8at9ypsdv4rkMoMVBu51LrEwi7MOlBkqCyfFmmcP04E3j-7v9mwld8hM=w400-h231" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjzwOdRLfpZ1v-iTI1H0QI26Y-d5Xe4ftZn1pK-ZEfXgcQiTYk3uSnv6g45ZfSXUYBGA28Gv5QumWIxQ4zARPt6oWO3DZTi0JB1fIhIyfhfAlXnd62rfjsPPfamTBKZiwk9c4rtn251QZotZjiCWNO0n3w43_Xk3JCPJzoW6KKkHZWMCBzV4SI-QN2jPt0" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="663" data-original-width="924" height="288" src="https://blogger.googleusercontent.com/img/a/AVvXsEjzwOdRLfpZ1v-iTI1H0QI26Y-d5Xe4ftZn1pK-ZEfXgcQiTYk3uSnv6g45ZfSXUYBGA28Gv5QumWIxQ4zARPt6oWO3DZTi0JB1fIhIyfhfAlXnd62rfjsPPfamTBKZiwk9c4rtn251QZotZjiCWNO0n3w43_Xk3JCPJzoW6KKkHZWMCBzV4SI-QN2jPt0=w400-h288" width="400" /></a></div>Local LLM in action! <br /></div></div><p><b>References:</b></p><div style="text-align: left;"><span style="font-family: inherit;"><a href="https://github.com/facebookresearch/llama">https://github.com/facebookresearch/llama<br /></a><a href="https://blogs.vmware.com/explore/2023/09/21/top-ai-ml-sessions-explore-2023/?utm_source=rss&utm_medium=rss&utm_campaign=top-ai-ml-sessions-explore-2023">https://blogs.vmware.com/explore/2023/09/21/top-ai-ml-sessions-explore-2023/?utm_source=rss&utm_medium=rss&utm_campaign=top-ai-ml-sessions-explore-2023<br /></a><a href="https://git-scm.com/download/win" rel="noreferrer" style="--_li-fc-hover: var(--theme-link-color-hover); --_li-fc-visited: var(--theme-link-color-visited); --_li-fc: var(--theme-link-color); background-color: white; border: 0px; box-sizing: inherit; cursor: pointer; font-feature-settings: inherit; font-kerning: inherit; font-optical-sizing: inherit; font-stretch: inherit; font-variant-alternates: inherit; font-variant-east-asian: inherit; font-variant-numeric: inherit; font-variation-settings: inherit; line-height: inherit; margin: 0px; padding: 0px; user-select: auto; vertical-align: baseline;">https://git-scm.com/download/win<br /></a><a href="https://gist.github.com/evanwill/0207876c3243bbb6863e65ec5dc3f058">https://gist.github.com/evanwill/0207876c3243bbb6863e65ec5dc3f058<br /></a><a href="https://github.com/oobabooga/text-generation-webui">https://github.com/oobabooga/text-generation-webui</a></span></div><div style="text-align: left;"><br /></div><div style="text-align: left;"><p style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; text-align: left;">Also, please check out my other posts related to this subject</p><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif"><a href="https://yadavmukund.blogspot.com/2023/08/unveiling-power-of-multi-cloud-database.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">Power of Multi-Cloud DBaaS </span></a></span></li></ul><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif"><a href="https://yadavmukund.blogspot.com/2023/07/mlops-made-easy-with-kubeflow.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">MLOps Made Easy with Kubeflow on vSphere: Streamlining Machine Learning Workflows</span></a></span></li></ul><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" style="color: #336699; font-family: arial; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">Artificial Intelligence, Machine Learning and Deep Learning for IT Operations</span></a></li></ul><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/exploratory-data-analysis-using-python.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">Exploratory data analysis using Python</span></a></li></ul><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/cloud-computing-and-data-analytics.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">Cloud Computing and Data Analytics fundamentals</span></a></li></ul><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2016/11/operations-management.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">IT Operations Management</span></a></li></ul><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/mttic-mean-time-to-identify-change-that.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">MTTIC</span></a></li></ul><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/aiops-for-tenant-and-platform-operations.html" style="color: #336699; text-decoration-line: none;" target="_blank"><span style="font-size: x-small;">AIOps for Tenant and Platform Operation</span></a></li></ul><p></p></div>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-37192853274289978932023-09-14T22:36:00.004-07:002023-09-21T22:56:45.988-07:00Bee a Hands-on Global Leader!<p>Being hands-on while also excelling in leadership requires a delicate balance. Effective leadership is always the result of hands-on activities. Leading depends on your ability to take action and get things done. The first step in leadership is understanding what leadership means and what it isn’t. Here we will look at the characteristics of hands-on leaders and identify how you can become one.</p><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhRkjkZb8seDckIOL7_CODezBHadpSyx5ULLAIx1pzEm6bB4ZRyzrNs6YilndZoxYAqRoSTNkGZn6Iq1xz7kI7bwYoCdbj1Kh4GRYhO69jFLq2zIg5edHsm-5F9FaffMC_rYFtXPGua3MOgxgxzbz8vTDoZb7b52qFYmrj3p_SEG8161079qU2DyIua4g4" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="540" data-original-width="960" height="225" src="https://blogger.googleusercontent.com/img/a/AVvXsEhRkjkZb8seDckIOL7_CODezBHadpSyx5ULLAIx1pzEm6bB4ZRyzrNs6YilndZoxYAqRoSTNkGZn6Iq1xz7kI7bwYoCdbj1Kh4GRYhO69jFLq2zIg5edHsm-5F9FaffMC_rYFtXPGua3MOgxgxzbz8vTDoZb7b52qFYmrj3p_SEG8161079qU2DyIua4g4=w400-h225" width="400" /></a></div></div></div></div></div><br /><u>1. Set Clear Priorities</u>: Identify tasks that require your direct involvement and those that can be delegated. Focus your hands-on efforts on critical areas that align with your expertise and contribute to strategic goals.<p></p><p><u>2. Delegate Effectively</u>: Build a capable team and delegate tasks appropriately. Trust your team's skills and provide guidance, allowing them to take ownership of their responsibilities.</p><p><u>3. Stay Current</u>: In the ever-evolving IT landscape, continuous learning is crucial. Dedicate time to stay updated on industry trends, technologies, and best practices to maintain your technical competence.</p><p><u>4. Lead by Example</u>: Demonstrate a strong work ethic, commitment to quality, and attention to detail. Your team will mirror your behavior, so set high standards.</p><p><u>5. Effective Time Management</u>: Prioritize tasks, use time management techniques, and leverage tools to maximize productivity. Ensure you allocate time for both leadership and hands-on activities.</p><p><u>6. Empower and Support</u>: Encourage your team to take initiative, make decisions, and solve problems. Provide guidance and mentorship to foster their growth and independence.</p><p><u>7. Communication Skills</u>: Communicate clearly, both as a technical expert and as a leader. Translate complex technical concepts into understandable language for non-technical stakeholders.</p><p><u>8. Strategic Thinking</u>: Balance tactical work with a strategic perspective. Align hands-on tasks with broader organizational goals to ensure your efforts have a meaningful impact.</p><p><u>9. Adaptability</u>: Embrace change and adapt to evolving roles and responsibilities. Be open to new challenges and opportunities to lead in different capacities.</p><p><u>10. Feedback and Recognition</u>: Provide constructive feedback to your team and recognize their achievements. This boosts morale and encourages continuous improvement.</p><p><u>11. Balance and Self-Care</u>: Maintain a healthy work-life balance to prevent burnout. Delegate tasks when necessary and prioritize self-care to stay energized and focused.</p><p><u>12. Networking</u>: Build and maintain a professional network within and outside your organization. Networking can provide valuable insights and support.</p><p>Remember that being a great IT leader doesn't mean you need to know everything or do everything yourself. It's about leveraging your technical expertise to guide your team toward success, fostering a collaborative environment, and making strategic decisions that drive the organization forward. Balancing hands-on work with leadership responsibilities is an ongoing process that requires flexibility and adaptability.</p><p>Note: A portion of the blog is assisted by ChatGPT!</p>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-46047885766610850772023-08-30T22:44:00.011-07:002023-09-21T22:57:15.547-07:00Simplifying Upgrades: Exploring the Benefits of Database & Tech Stack "Upgrade as a Service"!<p><b>Why? </b>Are you facing major system/performance issues during the critical Quarter End / Year End, unable to book multi-million-dollar orders, and wondering how to prevent it? Well, check out how Upgrade as a Service is helping us to have smooth QE/YE and also see unsung heroes behind the scenes/curtains!</p><p><b>What is Upgrade as a Service? </b>In today's rapidly changing digital landscape, databases, and tech stack serve as the backbone of numerous IT Corporate / Business applications and systems. As technology advances and database management systems (DBMS) and Tech Stack continue to improve, staying up-to-date with the latest versions becomes crucial. This is where "Database and Tech Stack Upgrade as a Service" steps in, offering a streamlined and efficient solution for organizations looking to upgrade their databases and tech stack hassle-free. In this blog post, we'll delve into the concept of Database and tech stack Upgrade as a Service, its benefits, and why it's a game-changer for businesses.</p><p></p><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><br /></div></div></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhYDoXojCD8xwsiq6RO65tISOMS0BcVgyM4txh0wB4yCtJzFactnd6f31zTHcRkQv2ecUiFNWRZynr4HUKaafmH6bjcVth1HqTaF9ATqcOfQjBESzglL3KxsmvaQbJNN_5pMY7MV3cU_m_xLCuZQufeDnyIXinIm9D9j2yyBMf0P2rCS-hyu1V2qPLfxso" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="547" data-original-width="656" height="333" src="https://blogger.googleusercontent.com/img/a/AVvXsEhYDoXojCD8xwsiq6RO65tISOMS0BcVgyM4txh0wB4yCtJzFactnd6f31zTHcRkQv2ecUiFNWRZynr4HUKaafmH6bjcVth1HqTaF9ATqcOfQjBESzglL3KxsmvaQbJNN_5pMY7MV3cU_m_xLCuZQufeDnyIXinIm9D9j2yyBMf0P2rCS-hyu1V2qPLfxso=w400-h333" width="400" /></a></div><br /><br /></div><br /><p></p><p><b>Detail Understanding of Database and Tech Stack Upgrade as a Service: </b>Database and tech stack Upgrade as a Service is a managed solution provided by experts (SME subject matter experts) that takes the complexity out of database and tech stack version upgrades. It's a comprehensive approach that covers everything from assessment and planning to execution and post-upgrade support. Let's check some of the key aspects of this service:</p><p><u>1. Assessment and Planning: </u>Service providers (SMEs) begin by assessing your current database and tech stack environment. They evaluate factors such as your current database and tech stack version, data complexity, and customizations. This assessment informs a well-thought-out upgrade plan tailored to the organization's Corp/Business IT needs.</p><p><u>2. Minimizing Downtime</u>: One of the major challenges during database and tech stack upgrades is downtime. DBAs and Software Admins use strategies to minimize downtime, ensuring that your Corp/Business IT applications remain accessible and operational throughout the upgrade process.</p><p><u>3. Data Migration</u>: Migrating data from one version to another requires precision to avoid data/customization loss or corruption. Database and tech stack Upgrade as a Service ensures seamless data and application customization migration and validation.</p><p><u>4. Testing and Validation</u>: The upgraded database and tech stack undergo rigorous testing to ensure compatibility with existing applications, these include technical validation, functional validation, load testing, longevity testing, high availability, and performance testing. This step helps identify any potential issues before they impact your users.</p><p><u>5. Expert Guidance</u>: DBAs and Software Admins (SMEs) bring their expertise to the table, handling challenges that may arise during the upgrade process. This reduces the risk of errors and disruptions.</p><p><b>Benefits of Database & Tech Stack Upgrade as a Service</b></p><p><u>1. Efficiency and Time Savings</u>: Internally handing over the upgrade process to experts (SMEs) allows your development team to focus on strategic initiatives rather than getting bogged down by technical intricacies.</p><p><u>2. Risk Mitigatio</u>n: With experienced professionals (SMEs) managing the upgrade, the risk of data/customization loss, downtime, and compatibility issues is significantly lowered.</p><p><u>3. Access to Latest Features</u>: Upgrading your database and tech stack often means gaining access to new features, improved security, improved performance, and enhanced user experience that can boost your application's capabilities.</p><p><u>4. Predictable Costs</u>: Upgrade as a Service offers predictable efforts, making budgeting and planning easier.</p><p><u>5. Scalability</u>: Whether you have a small-scale database or a massive enterprise-level system, Database and tech stack Upgrade as a Service can scale to accommodate needs due to well-defined and tested processes.</p><p><u>6. Post-Upgrade Support</u>: The service doesn't end after the upgrade. SMEs offer ongoing monitoring and support to ensure a smooth transition and address any post-upgrade issues.</p><p><b>Summary: </b>Database and Tech Stack Upgrade as a Service emerges as a valuable solution for organizations seeking to modernize their database and tech stack infrastructure without the headaches of managing the process in IT Development teams. By leveraging the expertise of SMEs, businesses can enjoy a seamless upgrade experience, access new features, and enhance the overall performance and security of their applications. Embrace the power of expert services and elevate your database and tech stack environment to new heights.</p><p><span style="text-align: center;"><b>And finally, meet the Expert "Upgrade as a Service" team!</b></span></p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEi_x1To9v_-LB87SXe25FlvWACd61W5IvHdddDJlEvOUgct7_gu8O53U5BFiIxT-XZCOdMNNHgcOkJUgdjTreT4ndtwVFE-WsE1jV63fOSyM_Zl4bONQIZSmbCW3cuLFn_VHh8iT9vuPG-zn1ehoGPkieAe-JCJqpTfqrDwHvkPYEHOfDxaBYm3vfA4Nfo" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="451" data-original-width="653" height="276" src="https://blogger.googleusercontent.com/img/a/AVvXsEi_x1To9v_-LB87SXe25FlvWACd61W5IvHdddDJlEvOUgct7_gu8O53U5BFiIxT-XZCOdMNNHgcOkJUgdjTreT4ndtwVFE-WsE1jV63fOSyM_Zl4bONQIZSmbCW3cuLFn_VHh8iT9vuPG-zn1ehoGPkieAe-JCJqpTfqrDwHvkPYEHOfDxaBYm3vfA4Nfo=w400-h276" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEh5wS0Wz6qVGR-sCKtcSGiuKXI-Bq096xmU3IOXPex9URh2PXyePHsT6kZab93i7hLqwfNQcjWc-PGZ39w_jnUfoHsmOx_p_ssGlTaIUKA-IjV0sEwcQP0wkkIO0SqOcC-3wsLfTgqPowJM3opeIUzFwcgPRsxHow8Z0tXgmVKkSs1Tuhj79M5C7vHBKM8" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="461" data-original-width="778" height="238" src="https://blogger.googleusercontent.com/img/a/AVvXsEh5wS0Wz6qVGR-sCKtcSGiuKXI-Bq096xmU3IOXPex9URh2PXyePHsT6kZab93i7hLqwfNQcjWc-PGZ39w_jnUfoHsmOx_p_ssGlTaIUKA-IjV0sEwcQP0wkkIO0SqOcC-3wsLfTgqPowJM3opeIUzFwcgPRsxHow8Z0tXgmVKkSs1Tuhj79M5C7vHBKM8=w400-h238" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;"><span style="text-align: left;">Note: A portion of the blog is assisted by ChatGPT!</span></div><p></p>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-85671532549160990402023-08-12T22:38:00.006-07:002023-09-21T22:58:00.992-07:00Unveiling the Power of Multi-Cloud Database as a Service (DBaaS): Streamlining Your Data Management<p><b>Why? </b>In today's fast-paced IT landscape, companies are generating and processing vast amounts of data at an unprecedented rate. The efficient management and utilization of this data have become important for companies aiming to make informed decisions and gain a competitive edge over the competition. This is where Database as a Service (DBaaS) comes into play, rest the way companies handle their data management processes.</p><p><b>What is DBaaS? </b>Database as a Service, or DBaaS, is a Private/Public cloud-based service model that offers companies a standard and simple approach to database management. With DBaaS, companies can access and utilize a fully managed database system without the need to invest in physical infrastructure, manage software installations, or perform complex maintenance tasks. This innovative approach shifts the focus from the technical aspects of database management to the strategic use of data to drive business growth.</p><p><b>What is Multi-Cloud DBaaS?</b> Almost all the cloud providers have DBaaS offerings, however, the world is moving towards multi-cloud, and in this space, there are hardly any players, so, to address this requirement, we have built a self-service portal that will facilitate build, run and manage databases on on-prem, hybrid, and multi-cloud! </p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEgLS8D_FP4_psfatsrLTO5TQ6ttzA-wtaY_23-N0eCYa3UeOgVQq-nOKVLoagorctcvMf-jMP-e2stOwVfLiyWL8AvzI72mluyFhpgNxnCLEk_FVI4ANCzumlbe6FbDqwMkBynj-csE_oyXxzTd4_wVLNq-Sbeu7oqwqYfsA_aci7e4o6nfElELTN83Kt0" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="606" data-original-width="1005" height="241" src="https://blogger.googleusercontent.com/img/a/AVvXsEgLS8D_FP4_psfatsrLTO5TQ6ttzA-wtaY_23-N0eCYa3UeOgVQq-nOKVLoagorctcvMf-jMP-e2stOwVfLiyWL8AvzI72mluyFhpgNxnCLEk_FVI4ANCzumlbe6FbDqwMkBynj-csE_oyXxzTd4_wVLNq-Sbeu7oqwqYfsA_aci7e4o6nfElELTN83Kt0=w400-h241" width="400" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEiDcn8sKgN55wbDbtW2wYI6WAZ5oe1wqUEdrxLdhkaBvMv0Ti-qRGn1Ta5jHK6UcsMu61tdzoObMtlKi4344SkOYNCT40_HyPF48Jn0x0TQdakbLONmWq-TLnaRIVNN_OiIxYDEbLeEJsiuUiPk6-Q3_IQZ2Kih3ANNFV0ZvO_bi972Vc6pg4j67WK9deY" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="606" data-original-width="710" height="342" src="https://blogger.googleusercontent.com/img/a/AVvXsEiDcn8sKgN55wbDbtW2wYI6WAZ5oe1wqUEdrxLdhkaBvMv0Ti-qRGn1Ta5jHK6UcsMu61tdzoObMtlKi4344SkOYNCT40_HyPF48Jn0x0TQdakbLONmWq-TLnaRIVNN_OiIxYDEbLeEJsiuUiPk6-Q3_IQZ2Kih3ANNFV0ZvO_bi972Vc6pg4j67WK9deY=w400-h342" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEghe6FJySTuWnkkCFAXIIUL-v-ctnp6mStYbaO0d8-sxxwSNfs5e79N3KrIpjp9YiptKvksfnlcRBB14aEUtE-wWP14sCiva7YRe-OYxvvOUjFi3MP15dcLIGAq5BxCvnfOR5qB3MBobif--epXUbODDafk9ZqfJhNB2owmS4hRmmoZ3q3dPIeocqjYmxA" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="489" data-original-width="782" height="250" src="https://blogger.googleusercontent.com/img/a/AVvXsEghe6FJySTuWnkkCFAXIIUL-v-ctnp6mStYbaO0d8-sxxwSNfs5e79N3KrIpjp9YiptKvksfnlcRBB14aEUtE-wWP14sCiva7YRe-OYxvvOUjFi3MP15dcLIGAq5BxCvnfOR5qB3MBobif--epXUbODDafk9ZqfJhNB2owmS4hRmmoZ3q3dPIeocqjYmxA=w400-h250" width="400" /></a></div></div><p></p><p><b>Key Features and Benefits: </b></p><p><u>1. Cost Efficiency:</u> Traditional database management involves significant upfront costs for hardware, software licenses, and ongoing maintenance. DBaaS eliminates these expenses by offering a pay-as-you-go model, where organizations only pay for the resources they consume. This cost-efficient approach allows businesses to allocate their budget more effectively and invest in other critical areas.</p><p><u>2. Scalability:</u> As your business grows, so do your data storage and processing needs. DBaaS provides seamless scalability, allowing you to easily adjust your database resources based on demand. Whether you're experiencing a sudden surge in traffic or planning for long-term growth, DBaaS ensures your database infrastructure can adapt without disruption.</p><p><u>3. Automated Maintenance:</u> Database maintenance tasks, such as software updates, backups, and security patches, can be time-consuming and resource-intensive. DBaaS providers handle these tasks automatically, freeing up your IT team to focus on strategic initiatives rather than routine maintenance.</p><p><u>4. Enhanced Security:</u> Data security is a top priority for any organization. DBaaS offers robust security features, including encryption, access controls, and data isolation, to safeguard your sensitive information. With industry compliance standards and regular security updates, DBaaS helps you maintain a secure and compliant database environment.</p><p><u>5. Faster Deployment:</u> Setting up a traditional database system can be a complex process that takes weeks or even months. DBaaS accelerates the deployment process, allowing you to create and configure databases within minutes. This agility is particularly valuable for projects that require rapid development and deployment cycles.</p><p><u>6. Global Accessibility:</u> In our interconnected world, businesses often operate across multiple locations and time zones. DBaaS provides remote access to your database, enabling authorized users to collaborate and access data from anywhere with an internet connection.</p><p><u>7. Data Analytics:</u> Leveraging data for actionable insights is a cornerstone of modern business strategy. DBaaS integrates seamlessly with data analytics tools, enabling organizations to perform complex queries, generate reports, and extract valuable insights from their data.</p><p><b>Challenges and Considerations: </b>While DBaaS offers numerous benefits, there are also certain challenges and considerations to keep in mind:</p><p><u>1. Vendor Lock-In:</u> Choosing a DBaaS provider involves a commitment to their ecosystem and platform. Migrating from one provider to another can be complex and time-consuming, potentially leading to vendor lock-in.</p><p><u>2. Data Security Concerns:</u> While DBaaS providers implement robust security measures, some organizations may have concerns about entrusting their sensitive data to a third-party service. It's essential to thoroughly evaluate a provider's security protocols and compliance certifications.</p><p><u>3. Performance Variability:</u> The performance of your database can be influenced by factors such as network latency and shared resources in a multi-tenant environment. It's important to assess your performance requirements and choose a DBaaS plan that meets your needs.</p><p><u>4. Customization Limitations:</u> DBaaS platforms may offer limited customization options compared to self-managed database solutions. If your organization requires highly tailored configurations, you should carefully assess whether a DBaaS solution aligns with your customization needs.</p><p><b>Summary: </b>Database as a Service (DBaaS) has emerged as a game-changer in the realm of data management, offering organizations a cost-effective, scalable, and efficient solution for handling their database needs. By outsourcing database maintenance and management tasks to specialized providers, businesses can refocus their efforts on strategic initiatives and innovation. While challenges such as vendor lock-in and data security concerns exist, the benefits of DBaaS far outweigh these considerations for many organizations. As technology continues to evolve, DBaaS is poised to play an increasingly vital role in helping businesses harness the power of data to drive growth and stay ahead in a competitive market. Embracing DBaaS can be a strategic step towards a more agile, cost-effective, and data-driven future.</p><p>Note: Portion of the blog is assisted by ChatGPT!</p><div dir="ltr" style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px;" trbidi="on">Also, please check out my other posts related to this subject</div><div dir="ltr" style="background-color: white;" trbidi="on"><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif" style="color: #333333;"><span style="font-size: 14.85px;"><a href="https://yadavmukund.blogspot.com/2023/07/mlops-made-easy-with-kubeflow.html" target="_blank">MLOps Made Easy with Kubeflow on vSphere: Streamlining Machine Learning Workflows</a></span></span></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" style="color: #336699; font-family: arial; font-size: 14.85px; text-decoration-line: none;" target="_blank">Artificial Intelligence, Machine Learning and Deep Learning for IT Operations</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/exploratory-data-analysis-using-python.html" style="color: #336699; text-decoration-line: none;" target="_blank">Exploratory data analysis using Python</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/cloud-computing-and-data-analytics.html" style="color: #336699; text-decoration-line: none;" target="_blank">Cloud Computing and Data Analytics fundamentals</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2016/11/operations-management.html" style="color: #336699; text-decoration-line: none;" target="_blank">IT Operations Management</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/mttic-mean-time-to-identify-change-that.html" style="color: #336699; text-decoration-line: none;" target="_blank">MTTIC</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/aiops-for-tenant-and-platform-operations.html" style="color: #336699; text-decoration-line: none;" target="_blank">AIOps for Tenant and Platform Operation</a></li></ul></div>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-85691774863923423352023-07-25T23:30:00.011-07:002023-09-21T22:58:33.252-07:00MLOps Made Easy with Kubeflow on vSphere: Streamlining Machine Learning Workflows<div style="text-align: left;"><b>Introduction</b>: In the rapidly evolving world of Machine Learning (ML), the ability to develop, deploy, and maintain ML models effectively has become a critical factor for success. MLOps, a combination of Ops and ML, offers a comprehensive approach to managing the ML lifecycle, from data preparation and model training to deployment and monitoring. In this blog post, we'll explore how Kubeflow on vSphere, an open-source ML platform built on Kubernetes, simplifies and streamlines MLOps, enabling teams to collaborate, iterate, and scale their ML workflows efficiently.</div><div style="text-align: left;"><br /><b>What is MLOps?</b>: MLOps is a set of practices and tools aimed at automating and standardizing ML workflows, reducing friction between data scientists, engineers, and operations teams, and enabling seamless integration of ML into the software development lifecycle. It involves version control, automated testing, continuous integration and deployment, and monitoring of ML models in production.</div><div style="text-align: left;"><br /></div><div style="text-align: left;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhA9EAA1SOEtoN34NaiEnEKHfaIRdc8Db3A9V6EXYntK3m9hXgTKKxABIeBdGnIdxIlci8cU_-2w9WqMMzAFG58g5uWZk0ZPcTaBbIw8k4hp5R0lYoIDdc0Pr9YKk8Dk-nNf8msyQNNiohxykmCNx60VQN2Z6CYN6yqcc7T2Rf7kNQnwNJqYtpZlqCziBE" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="555" data-original-width="568" height="390" src="https://blogger.googleusercontent.com/img/a/AVvXsEhA9EAA1SOEtoN34NaiEnEKHfaIRdc8Db3A9V6EXYntK3m9hXgTKKxABIeBdGnIdxIlci8cU_-2w9WqMMzAFG58g5uWZk0ZPcTaBbIw8k4hp5R0lYoIDdc0Pr9YKk8Dk-nNf8msyQNNiohxykmCNx60VQN2Z6CYN6yqcc7T2Rf7kNQnwNJqYtpZlqCziBE=w400-h390" width="400" /></a></div><br /></div><b>The Role of Kubeflow in MLOps</b>: Kubeflow provides a unified platform for deploying, orchestrating, and managing ML workloads on Kubernetes clusters. With its modular and extensible architecture, Kubeflow empowers data scientists and ML engineers to build end-to-end ML pipelines while also allowing Ops teams to ensure reproducibility, scalability, and reliability in production.</div><div style="text-align: left;"><br /></div><div style="text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjYm3aEvDHwFtc5Rzv51jyXuKPBD1TzKNcPI3yQ8EtsRpmv-XJoK39Y3ra4WLbBXs3RmjrkToXPdwoKnsVZ2M_20GOa3C8fZOJY26wfIdmcdwSVxwPl7U5x_5JE-MmTGurQIGehxq0w7CPPwN8gMfrVqs7cr6k2ncvuQkQJAd-sHXeHObd0pfIjrYkxy2U" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="1077" data-original-width="1858" height="231" src="https://blogger.googleusercontent.com/img/a/AVvXsEjYm3aEvDHwFtc5Rzv51jyXuKPBD1TzKNcPI3yQ8EtsRpmv-XJoK39Y3ra4WLbBXs3RmjrkToXPdwoKnsVZ2M_20GOa3C8fZOJY26wfIdmcdwSVxwPl7U5x_5JE-MmTGurQIGehxq0w7CPPwN8gMfrVqs7cr6k2ncvuQkQJAd-sHXeHObd0pfIjrYkxy2U=w400-h231" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;">Source: <a href="https://vmware.github.io/vSphere-machine-learning-extension/introduction/oss.html" target="_blank">Kubeflow on vSphere</a></div><br /><u>1. Simplified Deployment</u>: Kubeflow abstracts away the complexities of setting up and managing Kubernetes clusters for ML workloads. It offers pre-packaged components, including Jupyter Notebooks for experimentation, TensorFlow for model training, and Seldon Core for model serving. This streamlines the deployment process, allowing teams to focus on ML development rather than infrastructure management.<br /><u>2. Scalable Training and Inference</u>: With Kubeflow, you can leverage Kubernetes' auto-scaling capabilities to efficiently train models on large datasets distributed across multiple nodes. This elastic scaling ensures that your ML pipelines can handle varying workloads and optimize resource utilization, saving both time and costs.<br /><u>3. Reproducibility and Version Control</u>: Kubeflow's integration with Git enables version control of ML models and their associated code, data, and configurations. This ensures that models can be reproduced exactly as they were during development, making collaboration among team members easier and facilitating model debugging and improvement.<br /><u>4. Continuous Integration and Continuous Deployment (CI/CD)</u>: Kubeflow allows you to set up CI/CD pipelines for ML models, automating the testing and deployment process. With CI/CD, you can automatically trigger model retraining whenever new data is available, ensuring your models are always up-to-date and relevant.<br /><u>5. Model Monitoring and Governance</u>: Monitoring ML models in production is crucial for detecting and mitigating drift and ensuring model performance remains optimal. Kubeflow provides monitoring tools that enable teams to track model performance metrics, detect anomalies, and trigger alerts when issues arise.<br /><u>6. Collaboration and Sharing</u>: Kubeflow facilitates collaboration between data scientists and engineers by providing a centralized platform for sharing notebooks, experiments, and best practices. This accelerates the development process and fosters knowledge sharing within the team.</div><div style="text-align: left;"><br /></div><div style="text-align: left;"><b>Kubeflow on vSphere</b>: <a href="https://vmware.github.io/vSphere-machine-learning-extension/index.html" target="_blank">Kubeflow on vSphere</a> combines the advantages of Kubernetes-based ML orchestration with vSphere's virtualization infrastructure. It offers seamless integration, enabling efficient use of resources, scalability, and simplified deployment of machine learning workloads. With features like reproducibility, version control, and model monitoring, it empowers data scientists and engineers to develop, train, and deploy ML models with ease. The integration of Kubeflow on vSphere streamlines the ML workflow, providing a robust platform for running end-to-end machine learning pipelines, while leveraging the benefits of vSphere's virtualization capabilities.</div><div style="text-align: left;"><br /><b>Conclusion</b>: In conclusion, Kubeflow on vSphere plays a vital role in implementing MLOps best practices, making it easier for organizations to develop, deploy, and maintain machine learning models at scale. By leveraging Kubeflow's capabilities, teams can streamline their ML workflows, improve collaboration, and ensure that ML models are deployed with reliability and consistency. As ML and AI continue to revolutionize industries, embracing MLOps with Kubeflow becomes a strategic advantage that propels organizations towards innovation and success. So, if you haven't explored Kubeflow yet, it's time to give it a try and take your ML operations to the next level!</div><div style="text-align: left;"><br /></div><div style="text-align: left;"><b>Interested in kubeflow? why don't you try it on your laptop? </b></div><div style="text-align: left;">Here are the steps for Laptop Lab setup:</div><div style="text-align: left;">1) Install <a href="https://www.docker.com/products/docker-desktop/" target="_blank">Docker</a> on your laptop</div><div style="text-align: left;">2) Install <a href="https://kind.sigs.k8s.io/docs/user/quick-start/" target="_blank">kind</a></div><div style="text-align: left;">3) Install <a href="https://v0-7.kubeflow.org/docs/started/k8s/kfctl-k8s-istio/" target="_blank">Kubeflow</a></div><div style="text-align: left;"><br /></div><div style="text-align: left;">Note: Portion of the blog is assisted by ChatGPT!</div><div style="text-align: left;"><br /></div><div style="text-align: left;"><div dir="ltr" style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px;" trbidi="on">Also, please check out my other posts related to this subject</div><div dir="ltr" style="background-color: white;" trbidi="on"><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif"><span style="font-family: arial; font-size: 14.85px;"><a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" style="color: #336699; text-decoration-line: none;" target="_blank">Artificial Intelligence, Machine Learning and Deep Learning for IT Operations</a></span></span></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/exploratory-data-analysis-using-python.html" style="color: #336699; font-size: 14.85px; text-decoration-line: none;" target="_blank">Exploratory data analysis using Python</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/cloud-computing-and-data-analytics.html" style="color: #336699; text-decoration-line: none;" target="_blank">Cloud Computing and Data Analytics fundamentals</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2016/11/operations-management.html" style="color: #336699; text-decoration-line: none;" target="_blank">IT Operations Management</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/mttic-mean-time-to-identify-change-that.html" style="color: #336699; text-decoration-line: none;" target="_blank">MTTIC</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/aiops-for-tenant-and-platform-operations.html" style="color: #336699; text-decoration-line: none;" target="_blank">AIOps for Tenant and Platform Operation</a></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif" style="color: #333333;"><span style="font-size: 14.85px;"><a href="https://yadavmukund.blogspot.com/2023/08/unveiling-power-of-multi-cloud-database.html" target="_blank">Unveiling the Power of Multi-Cloud Database as a Service (DBaaS)</a></span></span></li></ul></div></div>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-66962934623720180072023-07-07T09:57:00.007-07:002023-08-12T22:47:03.202-07:00VMware Explore 2023 in Las Vegas!<div style="text-align: left;"><span style="font-family: arial;">Please register and do attend my sessions in VMware Explore 2023 in Las Vegas!<br /><a href="https://event.vmware.com/flow/vmware/explore2023lv/content/page/catalog?search=mukund">https://event.vmware.com/flow/vmware/explore2023lv/content/page/catalog?search=mukund</a><br /></span></div><p style="text-align: left;"></p><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhk2h1gQXxe_ONBQDHFvgz5CIpOFOR_Z7hYR1paTO-Wapu9oHYcyguon1IgE-9u_2lb9oXOz0ygVzi7-zfl_gOTBL22QQTfXjM-Iz8FWWyCdnmPsUmKKPJu-yRJlX5KzACPCQTSYSLdsOC8X3cXvKfrjbcW_r3RsGs5up0ONxFU2I8M4EL9rOAtC3xCiwQ" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="504" data-original-width="960" height="210" src="https://blogger.googleusercontent.com/img/a/AVvXsEhk2h1gQXxe_ONBQDHFvgz5CIpOFOR_Z7hYR1paTO-Wapu9oHYcyguon1IgE-9u_2lb9oXOz0ygVzi7-zfl_gOTBL22QQTfXjM-Iz8FWWyCdnmPsUmKKPJu-yRJlX5KzACPCQTSYSLdsOC8X3cXvKfrjbcW_r3RsGs5up0ONxFU2I8M4EL9rOAtC3xCiwQ=w400-h210" width="400" /></a></div><br /><br /></div><div class="separator" style="clear: both; text-align: center;"><span style="font-family: arial; text-align: left;">See you in Las Vegas!</span></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><span style="font-family: arial; text-align: left;"><div dir="ltr" style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px;" trbidi="on">Also, please check out my other posts related to this subject</div><div dir="ltr" style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px;" trbidi="on"><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span style="color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif;"><a href="https://yadavmukund.blogspot.com/2023/08/unveiling-power-of-multi-cloud-database.html" target="_blank">Unveiling the Power of Multi-Cloud Database as a Service (DBaaS)</a></span></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif" style="color: #333333;"><a href="https://yadavmukund.blogspot.com/2023/07/mlops-made-easy-with-kubeflow.html" target="_blank">MLOps Made Easy with Kubeflow on vSphere: Streamlining Machine Learning Workflows</a></span></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif"><span style="font-family: arial; font-size: 14.85px;"><a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" style="color: #336699; text-decoration-line: none;" target="_blank">Artificial Intelligence, Machine Learning and Deep Learning for IT Operations</a></span></span></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/exploratory-data-analysis-using-python.html" style="color: #336699; font-size: 14.85px; text-decoration-line: none;" target="_blank">Exploratory data analysis using Python</a></li><li style="border: none; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/cloud-computing-and-data-analytics.html" style="color: #336699; text-decoration-line: none;" target="_blank">Cloud Computing and Data Analytics fundamentals</a></li><li style="border: none; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2016/11/operations-management.html" style="color: #336699; text-decoration-line: none;" target="_blank">IT Operations Management</a></li><li style="border: none; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/mttic-mean-time-to-identify-change-that.html" style="color: #336699; text-decoration-line: none;" target="_blank">MTTIC</a></li><li style="border: none; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/aiops-for-tenant-and-platform-operations.html" style="color: #336699; text-decoration-line: none;" target="_blank">AIOps for Tenant and Platform Operation</a></li></ul></div></span></div><p></p>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-44062801621627278692023-07-05T22:25:00.004-07:002023-09-21T22:59:25.621-07:00Platform as a Product: Unlocking Innovation and Growth<div style="text-align: left;"><span style="font-family: arial;"><b>Introduction</b>: In today's digital era, businesses are constantly seeking new ways to drive innovation, improve customer experiences, and generate revenue. One emerging concept that has gained significant attention is the "Platform as a Product" model. Unlike traditional product offerings, platform-based products serve as ecosystems that connect various participants, enabling them to interact, exchange value, and create new opportunities. This blog post explores the concept of a Platform as a Product, its benefits, and how it is revolutionizing industries across the globe.<br /><b><br /></b></span></div><div style="text-align: left;"><span style="font-family: arial;"><b>Defining Platform as a Product</b>: Platform as a Product refers to a business strategy that treats a platform as a core product offering, rather than a means to support other products or services. It involves building and scaling a digital platform that facilitates interactions and transactions between multiple users, such as consumers, businesses, and developers. The platform acts as an intermediary, providing the infrastructure, tools, and services necessary to enable participants to create, exchange, and consume value.</span></div><div style="text-align: left;"><span style="font-family: arial;"><br /></span></div><div style="text-align: left;"><span style="font-family: arial;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjo5x1BZvmYh0SArpqZiPWBfgy8lJ773CWV9tHZ38n0Th2QI0FR5y5lOHVWAZRkkh8gqUREiJdhes8QhhlW7a95U8HxJ0gVXf0emJ1JSjmkmnOmRzFyEXMTjpyQq92hwfsxtefH0lEXwR1CKUdI-YQIBjRS-gecJ8wN9VpevAEmmx-ZOC_YnLounxgOuOQ" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="963" data-original-width="957" height="400" src="https://blogger.googleusercontent.com/img/a/AVvXsEjo5x1BZvmYh0SArpqZiPWBfgy8lJ773CWV9tHZ38n0Th2QI0FR5y5lOHVWAZRkkh8gqUREiJdhes8QhhlW7a95U8HxJ0gVXf0emJ1JSjmkmnOmRzFyEXMTjpyQq92hwfsxtefH0lEXwR1CKUdI-YQIBjRS-gecJ8wN9VpevAEmmx-ZOC_YnLounxgOuOQ=w398-h400" width="398" /></a></div><br /></div><br /></div></span></div><div style="text-align: left;"><span style="font-family: arial;"><b>Benefits of Platform as a Product</b>: <br />1) Scalability and Network Effects: Platforms have the potential to achieve exponential growth due to network effects, where the value of the platform increases as more participants join. As the user base expands, it attracts more users and creates a virtuous cycle of growth.<br />2) Innovation and Co-creation: Platforms foster innovation by enabling collaboration and co-creation among participants. Developers can build applications, services, and products on top of the platform, leveraging its resources and user base. This opens up new avenues for creativity and accelerates the pace of innovation.<br />3) Enhanced Customer Experience: Platforms facilitate seamless interactions between users, making it easier for them to discover, access, and engage with products and services. By providing personalized recommendations, tailored experiences, and easy-to-use interfaces, platforms enhance the overall customer experience.<br />4) Revenue Generation and Monetization: Platforms offer multiple monetization models, such as transaction fees, subscriptions, advertising, and data monetization. By capturing a percentage of the value exchanged on the platform, businesses can generate substantial revenue streams.<br /><b><br /></b></span></div><div style="text-align: left;"><span style="font-family: arial;"><b>Examples of Successful Platforms as Product Implementations</b>: Several companies have embraced the Platform as a Product model and achieved remarkable success. Let's take a look at two prominent examples:<br /><u>Airbnb</u>: As a platform connecting hosts and travelers, Airbnb disrupted the traditional hospitality industry. By providing a user-friendly interface, trust-building mechanisms, and value-added services, Airbnb transformed the way people find and book accommodations worldwide. It leveraged network effects to rapidly expand its user base, offering unique experiences and unlocking new revenue streams.<br /><u>Shopify</u>: Shopify is an e-commerce platform that enables entrepreneurs to build and manage their online stores. By providing a comprehensive suite of tools, integrations, and a marketplace for third-party applications, Shopify empowers businesses to create customized and scalable e-commerce solutions. It has created a vibrant ecosystem of developers, designers, and entrepreneurs, fostering continuous innovation and growth.<br /><b><br /></b></span></div><div style="text-align: left;"><span style="font-family: arial;"><b>Conclusion</b>: Platform as a Product represents a paradigm shift in how businesses create value and drive growth. By adopting this model, companies can leverage the power of network effects, foster innovation, and enhance customer experiences. Platforms offer scalable and monetizable solutions that unlock new revenue streams and disrupt traditional industries. However, building and managing successful platform-based products require careful consideration of various factors, including ecosystem design, user engagement, and value proposition. As the digital landscape evolves, embracing the Platform as a Product approach can position businesses at the forefront of innovation and enable them to thrive in the ever-changing business environment. </span><span style="font-family: arial;">Last but not least, Leaders, Managers, and Engineers in IT can also use this concept to improve the quality of the IT platforms/services, although you may not be generating revenue, however, you will be able to improve the efficiency/productivity of developers and contribute to the bottom line!</span></div><div style="text-align: left;"><span style="font-family: arial;"><span style="font-family: "Times New Roman";"><br /></span></span></div><div style="text-align: left;"><span style="font-family: arial;"><span style="font-family: "Times New Roman";">Note: Portion of the blog is assisted by ChatGPT!</span></span></div><div style="text-align: left;"><span style="font-family: arial;"><span style="font-family: "Times New Roman";"><br /></span></span></div><div style="text-align: left;"><span style="font-family: arial;"><div dir="ltr" style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px;" trbidi="on">Also, please check out my other posts related to this subject</div><div dir="ltr" style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px;" trbidi="on"><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif"><span style="font-family: arial; font-size: 14.85px;"><a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" style="color: #336699; text-decoration-line: none;" target="_blank">Artificial Intelligence, Machine Learning and Deep Learning for IT Operations</a></span></span></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/exploratory-data-analysis-using-python.html" style="color: #336699; font-size: 14.85px; text-decoration-line: none;" target="_blank">Exploratory data analysis using Python</a></li><li style="border: none; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/cloud-computing-and-data-analytics.html" style="color: #336699; text-decoration-line: none;" target="_blank">Cloud Computing and Data Analytics fundamentals</a></li><li style="border: none; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2016/11/operations-management.html" style="color: #336699; text-decoration-line: none;" target="_blank">IT Operations Management</a></li><li style="border: none; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/mttic-mean-time-to-identify-change-that.html" style="color: #336699; text-decoration-line: none;" target="_blank">MTTIC</a></li><li style="border: none; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/aiops-for-tenant-and-platform-operations.html" style="color: #336699; text-decoration-line: none;" target="_blank">AIOps for Tenant and Platform Operation</a></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif" style="color: #333333;"><a href="https://yadavmukund.blogspot.com/2023/08/unveiling-power-of-multi-cloud-database.html" target="_blank">Unveiling the Power of Multi-Cloud Database as a Service (DBaaS)</a></span></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif" style="color: #333333;"><a href="https://yadavmukund.blogspot.com/2023/07/mlops-made-easy-with-kubeflow.html" target="_blank">MLOps Made Easy with Kubeflow on vSphere: Streamlining Machine Learning Workflows</a></span></li></ul></div></span></div>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-25102724492441834982023-07-03T08:27:00.007-07:002023-09-21T22:59:35.835-07:00Harnessing the Power of Big Data: Transforming Industries and Empowering Decision-Making using Hadoop<div style="text-align: left;"><span style="font-family: arial;"><b>Introduction: </b>In today's digital era, the vast amounts of data generated by individuals, organizations, and devices have given rise to the phenomenon known as "Big Data." This abundance of data has become a valuable resource for extracting insights and driving innovation across various industries. Big Data analytics enables businesses and decision-makers to make data-driven decisions, uncover hidden patterns, and gain a competitive edge. In this blog, we will explore the potential of Big Data, its impact on different sectors, and the challenges and opportunities it presents.<br><b><br></b></span></div><div style="text-align: left;"><span style="font-family: arial;"><b>The Potential of Big Data: </b>Big Data encompasses not only the volume but also the variety and velocity of data being generated. With the advent of the Internet of Things (IoT), social media platforms, and online transactions, the sheer volume of data has reached unprecedented levels. This wealth of information holds tremendous potential for businesses, researchers, and governments. One of the key benefits of Big Data lies in its ability to reveal hidden insights and patterns that were previously inaccessible. By analyzing large datasets, organizations can identify trends, understand customer behavior, and optimize operations. For instance, e-commerce companies leverage Big Data to personalize recommendations and enhance customer experiences. In healthcare, analysis of medical records and genetic data can lead to improved diagnoses and treatments.<br><b><br></b></span></div><div style="text-align: left;"><span style="font-family: arial;"><b>Impact on Industries:<br></b>Big Data has made a significant impact on a wide range of industries. In finance, real-time analysis of market data helps traders make informed investment decisions and predict market trends. In manufacturing, the use of sensors and machine learning algorithms enables predictive maintenance, reducing downtime and optimizing production processes. In the transportation sector, Big Data facilitates route optimization, traffic management, and predictive maintenance of vehicles. Governments leverage data from various sources to enhance urban planning, optimize public services, and improve citizen engagement. The field of education utilizes data analytics to personalize learning experiences and identify areas where students may need additional support.<br><b><br></b></span></div><div style="text-align: left;"><span style="font-family: arial;"><b>Challenges and Opportunities: </b>While Big Data offers immense potential, it also presents challenges. The sheer volume and complexity of data make it difficult to manage, process, and extract meaningful insights. Data quality, privacy, and security are major concerns that need to be addressed. Moreover, there is a shortage of skilled professionals who can effectively work with Big Data. However, these challenges also create opportunities. The development of advanced analytics techniques, such as machine learning and artificial intelligence, can help automate data analysis and derive insights more efficiently. Furthermore, advancements in cloud computing and storage technologies enable organizations to scale their data infrastructure and leverage the benefits of Big Data without significant upfront investments.</span></div><div style="text-align: left;"><span style="font-family: arial;"><br><b>Conclusion: </b>Big Data has revolutionized the way businesses operate and decisions are made. By harnessing the power of data analytics, organizations can gain valuable insights, drive innovation, and enhance their competitiveness. From personalized marketing to improved healthcare outcomes, the impact of Big Data is evident across various sectors. However, realizing the full potential of Big Data requires addressing challenges related to data management, privacy, and skill gaps. As technology continues to evolve, the possibilities for leveraging Big Data will only grow, and organizations that effectively harness this resource will be well-positioned for success in the data-driven future.</span></div><span><span style="font-family: arial;"></span></span><a href="https://yadavmukund.blogspot.com/2023/07/harnessing-power-of-big-data.html#more"></a>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-85833947066908621732023-06-23T10:45:00.007-07:002023-09-21T22:59:49.599-07:00AIOps for Tenant and Platform Operations<div style="text-align: left;"><b>Introduction: </b>In today's digital landscape, organizations are continuously striving to improve the efficiency and effectiveness of their operations. To meet the demands of managing multiple tenants and platforms, Artificial Intelligence for IT Operations (AIOps) has emerged as a game-changer. By harnessing the power of artificial intelligence and machine learning, AIOps enables organizations to automate and optimize their tenant and platform operations. This blog will delve into the world of AIOps, its applications in tenant and platform operations, and how it revolutionizes the way organizations manage their resources.<br /><b><br /></b></div><div style="text-align: left;"><b>Understanding AIOps: </b>AIOps is a discipline that combines advanced analytics, machine learning algorithms, and automation to streamline IT operations. By leveraging data-driven insights, AIOps enable organizations to detect <a href="https://docs.wavefront.com/anomaly_detection.html" target="_blank">anomalies</a>, predict potential issues, and automate remediation processes. It brings together various data sources, including monitoring tools, log files, metrics, and user feedback, into a centralized repository for analysis and decision-making. AIOps allows organizations to proactively identify and resolve operational challenges, ultimately improving the overall performance and reliability of their tenant and platform environments.<br /></div><p style="text-align: left;"></p><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEi3_yUSuCZfe_G0F12hYIxF50skmKQ7vfPX4OtWVNUg4wuq1GqdjpkeuSRySvaEcFK8PcCpxixKl5QLr1GgkJJ_UdK7c01UUBbupCQRCVUkwoM7316B0puXXa_RBKqwNGBD72GlwRlXtWxJeXvWm0YrISi5IojA15Pm5LVKfPm9MkLzucW2KBOg_rdei_Q" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="870" data-original-width="1158" height="301" src="https://blogger.googleusercontent.com/img/a/AVvXsEi3_yUSuCZfe_G0F12hYIxF50skmKQ7vfPX4OtWVNUg4wuq1GqdjpkeuSRySvaEcFK8PcCpxixKl5QLr1GgkJJ_UdK7c01UUBbupCQRCVUkwoM7316B0puXXa_RBKqwNGBD72GlwRlXtWxJeXvWm0YrISi5IojA15Pm5LVKfPm9MkLzucW2KBOg_rdei_Q=w400-h301" width="400" /></a></div><br /><br /></div><p></p><p style="text-align: left;"><b>Data-Driven Insights: </b>A crucial aspect of AIOps is the collection and <a href="https://yadavmukund.blogspot.com/2021/06/exploratory-data-analysis-using-python.html">data analysis</a> of vast amounts of data and <a href="https://github.com/myadavin/ticket-analysis" target="_blank">Ticket Analysis</a>. Organizations can collect data from various sources, such as tenant activities, platform performance metrics, resource utilization, help desk ticket data, and security logs. This data is then preprocessed and normalized to ensure accuracy and consistency. With AIOps, organizations can gain valuable insights into tenant behaviors, resource demands, and platform performance patterns. By applying machine learning algorithms, organizations can detect <a href="https://docs.wavefront.com/anomaly_detection.html" target="_blank">anomalies</a> and outliers in tenant activities. These <a href="https://docs.wavefront.com/anomaly_detection.html" target="_blank">anomalies</a> can be indicators of security breaches, performance degradation, or resource over utilization. Additionally, AIOps can predict future resource demands based on historical patterns and usage trends, enabling organizations to proactively allocate resources and prevent potential bottlenecks.</p><div style="text-align: left;"><br /></div><div style="text-align: left;"><b>Real-Time Monitoring and Automation: </b>AIOps empowers organizations with real-time monitoring capabilities. By continuously analyzing data from tenant and platform operations, AIOps systems can detect critical events and trigger alerts or notifications. For instance, if an <a href="https://docs.wavefront.com/anomaly_detection.html">anomaly</a> is identified in a tenant's activity, the system can automatically initiate remediation processes, such as scaling up resources or isolating the affected tenant. Automation/Self-Service is a key component of AIOps. By integrating with operational workflows and automation tools, organizations can automate routine tasks / provide self-service, reducing manual intervention and minimizing response times. AIOps can automatically execute predefined actions or playbooks in response to specific incidents, enabling faster incident resolution and reducing downtime.</div><div style="text-align: left;"><br /></div><div style="text-align: left;"><b>Continuous Improvement and Collaboration: </b>AIOps is a dynamic field that requires continuous improvement and collaboration among various teams. Organizations need to regularly evaluate the performance of their AIOps systems, seeking feedback from operations teams and tenants. This feedback loop enables fine-tuning of machine learning models, adjustment of thresholds, and refinement of automation workflows. Collaboration between operations teams, data scientists, and developers is crucial for success. By fostering knowledge-sharing and cross-functional collaboration, organizations can identify new use cases, improve the accuracy of models, and drive innovation in tenant and platform operations. This collaborative approach ensures that the AIOps system aligns with business objectives and evolves with changing operational needs.</div><p style="text-align: left;"><b>Conclusion: </b>AIOps presents a significant opportunity for organizations to transform their tenant and platform operations. By leveraging the power of artificial intelligence and machine learning, organizations can gain actionable insights from vast amounts of operational data. AIOps enable the proactive identification of <a href="https://docs.wavefront.com/anomaly_detection.html">anomalies</a>, prediction of resource demands, and automation of remediation processes. This results in improved operational efficiency, reduced downtime, enhanced performance, and better resource utilization. To implement AIOps successfully, organizations must invest in data collection, preprocessing, and machine learning model development. Continuous monitoring, evaluation, automation, and self-service!</p><p style="text-align: left;">Note: Portion of the blog is assisted by ChatGPT!</p><div dir="ltr" style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px;" trbidi="on">Also, please check out my other posts related to this subject</div><div dir="ltr" style="background-color: white;" trbidi="on"><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif" style="color: #333333;"><span style="font-family: arial; font-size: 14.85px;"><a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" target="_blank">Artificial Intelligence, Machine Learning and Deep Learning for IT Operations</a></span></span></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/exploratory-data-analysis-using-python.html" style="color: #336699; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; text-decoration-line: none;" target="_blank">Exploratory data analysis using Python</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/cloud-computing-and-data-analytics.html" style="color: #336699; text-decoration-line: none;" target="_blank">Cloud Computing and Data Analytics fundamentals</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2016/11/operations-management.html" style="color: #336699; text-decoration-line: none;" target="_blank">IT Operations Management</a></li><li style="border: none; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/mttic-mean-time-to-identify-change-that.html" style="color: #336699; text-decoration-line: none;" target="_blank">MTTIC</a></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif" style="color: #333333;"><a href="https://yadavmukund.blogspot.com/2023/08/unveiling-power-of-multi-cloud-database.html" target="_blank">Unveiling the Power of Multi-Cloud Database as a Service (DBaaS)</a></span></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span face="Arial, Tahoma, Helvetica, FreeSans, sans-serif" style="color: #333333;"><a href="https://yadavmukund.blogspot.com/2023/07/mlops-made-easy-with-kubeflow.html" target="_blank">MLOps Made Easy with Kubeflow on vSphere: Streamlining Machine Learning Workflows</a></span></li></ul></div>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com1tag:blogger.com,1999:blog-6722229186756834263.post-58290300086101727742023-06-09T14:12:00.008-07:002023-09-21T23:00:02.720-07:00MTTIC - Mean Time to Identify the Change that Caused the Outage/Issue: A Critical Metric for Effective Incident Management<p><b>Introduction</b></p><p>In today's fast-paced and interconnected world, organizations heavily rely on complex systems and technologies to operate efficiently. However, with increasing complexity comes the heightened risk of incidents and outages that can disrupt operations and impact customer satisfaction. To effectively manage and resolve such issues, it is crucial for organizations to minimize the Mean Time to Identify the Change (MTTIC) that caused the outage or issue. This blog explores the significance of MTTIC and highlights strategies for reducing this metric to improve incident management.</p><p><b>Understanding Mean Time to Identify the Change (MTTIC) </b></p><p>MTTIC is a metric that measures the average time taken to identify the specific change or configuration that led to an incident or outage within a system. It is an essential component of the Incident Management process, focusing on the critical task of root cause analysis. MTTIC begins when an incident is detected and continues until the change responsible for the issue is accurately pinpointed. By minimizing this metric, organizations can reduce downtime, improve service availability, and enhance their overall incident response capabilities.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjxlqWYf7dBTHr0xxvLmiQYSUdSs1d-mLTSU-FS8t3c6ZB_c9pI7ZeibcaORgwGIJUexCCmOV5V6LgWUGNJOHWFSY9yMSg5n-Ya1KfEQXsDMMf1M3-WrPy42xajrGtR8eY3sFGpLbj-HyVi8C2CXHHx8R-OaAcjzdDlHOx433sS9ArGVBbHjjwAZEhT" style="margin-left: 1em; margin-right: 1em;"></a><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjxlqWYf7dBTHr0xxvLmiQYSUdSs1d-mLTSU-FS8t3c6ZB_c9pI7ZeibcaORgwGIJUexCCmOV5V6LgWUGNJOHWFSY9yMSg5n-Ya1KfEQXsDMMf1M3-WrPy42xajrGtR8eY3sFGpLbj-HyVi8C2CXHHx8R-OaAcjzdDlHOx433sS9ArGVBbHjjwAZEhT" style="margin-left: 1em; margin-right: 1em;"></a><a href="https://blogger.googleusercontent.com/img/a/AVvXsEh63QBWPQUvjc31tfwpyRGVpem5Gb6-roUq_33pWHXHt5VvICQ3RO2r4qyUp1XwbEPLm-rsSIA9KbXwWX8zFoNXBns6s6uJ0h1hirHZVA4G9Y9iBpnnrrv_n3fmLwPOetOWaue1JTXJOSfbBbyqHBl8nrHYutntpZjdqmIcZVTSXmZvqGcJ20Wzxlbf" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="588" data-original-width="925" height="254" src="https://blogger.googleusercontent.com/img/a/AVvXsEh63QBWPQUvjc31tfwpyRGVpem5Gb6-roUq_33pWHXHt5VvICQ3RO2r4qyUp1XwbEPLm-rsSIA9KbXwWX8zFoNXBns6s6uJ0h1hirHZVA4G9Y9iBpnnrrv_n3fmLwPOetOWaue1JTXJOSfbBbyqHBl8nrHYutntpZjdqmIcZVTSXmZvqGcJ20Wzxlbf=w400-h254" width="400"></a></div><br></div><br><p><b>Challenges and Consequences of a Lengthy MTTIC</b></p><p>A lengthy MTTIC can have significant consequences for organizations. When incident response teams struggle to identify the root cause, it prolongs the outage and exacerbates customer dissatisfaction. Extended downtime can result in revenue loss, damage to reputation, and potential legal implications in certain industries. Moreover, a lengthy MTTIC increases the workload on IT staff, as they spend more time investigating and less time on proactive tasks. This hampers operational efficiency and overall business productivity.</p><p><b>Strategies to Reduce MTTIC </b></p><p>1) Comprehensive Change Management: Implement a robust change management process that includes thorough documentation of all system changes. By maintaining a detailed record, it becomes easier to trace back and identify the change that triggered the incident.</p><p>2) Real-time Monitoring and Alerting: Employ advanced monitoring tools that can provide real-time insights into system performance, health, and configuration changes. Automated alerts help detect anomalies, enabling faster incident response and reducing MTTIC. Also, you can use <a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" target="_blank">AI/ML</a> for this use case.</p><p>3) Effective Incident Triage: Establish a well-defined incident triage process that prioritizes incidents based on their severity and potential impact. Assign experienced personnel to investigate critical incidents promptly, reducing the time spent on less urgent issues.</p><p>4) Collaboration and Knowledge Sharing: Foster a culture of collaboration within the organization, encouraging cross-functional teams to work together during incident investigations. Sharing knowledge and expertise improves the collective understanding of the system, expediting the identification of the change responsible for the incident.</p><p>5) Post-Incident Analysis and Documentation: Conduct thorough post-incident analysis and document the findings, including the root cause and steps taken for resolution. This information serves as a valuable resource for future incident management, enabling quicker identification of similar issues.</p><p><b>Benefits of Reducing MTTIC</b></p><p>By actively reducing MTTIC, organizations can reap several benefits, including:</p><p>a) Improved Service Availability: Faster identification of the change responsible for an incident allows for quicker resolution, minimizing downtime and enhancing service availability.</p><p>b) Enhanced Customer Experience: Swift incident response and resolution lead to higher customer satisfaction, as downtime and service disruptions are minimized.</p><p>c) Efficient Resource Utilization: By reducing the time spent on identifying the root cause, IT teams can focus their efforts on proactive tasks, such as system optimization and preventive maintenance, improving overall resource utilization.</p><p><b>Conclusion</b></p><p>In the dynamic landscape of modern technology, organizations must prioritize incident management to minimize the impact of outages and issues. Mean Time to Identify the Change (MTTIC).</p><p>And I am happy that I was able to coin a brand new term - <a href="https://yadavmukund.blogspot.com/2023/06/mttic-mean-time-to-identify-change-that.html">MTTIC</a>! </p><p>Note: Portion of the blog is assisted by ChatGPT!</p><span></span><a href="https://yadavmukund.blogspot.com/2023/06/mttic-mean-time-to-identify-change-that.html#more"></a>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-45890849166588187572023-06-01T11:12:00.004-07:002023-06-15T12:43:56.811-07:00Rise Of The Developer Of The Apps! {Rise of the Planet of the Apes!}<p>The Pandemic accelerated Digital transformation which triggered Rapid Application Development, and the momentum continues! </p><p>Are your *Ops* teams ready for the Fast and Furious Developers? Are they supporting Rapid Application Development to cut down the "Idea to Production" greenfield/brownfield development cycle? </p><p>Learn more about RAD on VMware {code} @ VMworld channel </p><p><a href="https://www.youtube.com/watch?v=Bg73WummR8M">https://www.youtube.com/watch?v=Bg73WummR8M</a></p><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="361" src="https://www.youtube.com/embed/Bg73WummR8M" width="480" youtube-src-id="Bg73WummR8M"></iframe></div><p><br /></p><div dir="ltr" trbidi="on">Also, please check out my other posts related to this subject</div><div dir="ltr" trbidi="on"><ul><li><a href="https://yadavmukund.blogspot.com/2021/06/exploratory-data-analysis-using-python.html" target="_blank">Exploratory data analysis using Python</a></li><li><a href="https://yadavmukund.blogspot.com/2021/06/cloud-computing-and-data-analytics.html" target="_blank">Cloud Computing and Data Analytics fundamentals</a></li><li><a href="https://yadavmukund.blogspot.com/2016/11/operations-management.html" target="_blank">IT Operations Management</a></li><li><a href="https://yadavmukund.blogspot.com/2023/06/mttic-mean-time-to-identify-change-that.html" target="_blank">MTTIC</a></li><li><a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" target="_blank">AI/ML/DL</a></li></ul></div><div dir="ltr" trbidi="on"><br /></div>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-18702771581633061162021-09-11T11:28:00.040-07:002021-09-20T22:43:53.407-07:00Multi-Cloud : What, Why and How?<p><b>What is Multi-Cloud? </b></p><p>Multi-cloud is a cloud computing deployment model that enables organizations to deliver application services across multiple private and public clouds containing some or any combination of the following: multiple cloud vendors, multiple cloud accounts, multiple cloud availability zones, or multiple cloud regions or premises.</p><p></p><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhqd4bt9ee_QW_8e5k6sllToFd8xWRmRTBzxfVj-xKXyJHoPiC6zUTzyOunFwmaD79PFIKKs_jKqP2Zr9t90O1H9E8_pEiMefcow9U_Y9_Iswh7goqHXOp7mgcz1vjliGP5gwmGqg6aaPo/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="364" data-original-width="610" height="239" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhqd4bt9ee_QW_8e5k6sllToFd8xWRmRTBzxfVj-xKXyJHoPiC6zUTzyOunFwmaD79PFIKKs_jKqP2Zr9t90O1H9E8_pEiMefcow9U_Y9_Iswh7goqHXOp7mgcz1vjliGP5gwmGqg6aaPo/w400-h239/image.png" width="400" /></a></div><br /></div></div><b>Why companies are thinking or working on the Multi-Cloud strategy? </b><p></p><p></p><ul><li><b>Availability</b> - Your critical, customer-facing applications such as worldwide e-commerce or SaaS or customer support, etc., must be available 99.99+%</li><li><b>Elasticity</b> - To achieve high availability, you need to make sure that your application can be scaled horizontally or vertically to meet the influx of connections</li><li><b>Vendor lock-in</b> - After investing too much in one Cloud provider, you realize that you have a vendor lock-in situation, wherein you are not able to exit a particular cloud provider and<b> Optimize Cost</b></li><li>There could be various other reasons such as Disaster Avoidance/Recovery, Local Government rules, regulations, compliance, M&A’s applications, which demands to think of utilizing multiple clouds</li><li><span style="color: #ffa400;">And last but not least, you are trying to avoid different operating models, cloud management, and CI/CD Release tools so that your developers and platform engineers can focus on value creation!</span></li></ul><div><b>What should we focus on? </b></div><div><ul style="text-align: left;"><li><b>Golden Triangle:</b> Don't focus only on Technology! In this blog, we will see all 3 aspects, People, Process, and Technology!</li></ul></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg52MqCT3S1G9F6TvUAJX4qpCY79YIHGPU_2-eh5dtks61Hnw1ADxHX-xPGKSbzgNAU-2bCEIZccYRm6iNE45pgqMnbV-e6ZDbm-Na5VKl7S-W3SX7ctVYyHTS_NaTXAAMw7teS2CC7Gho/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="674" data-original-width="902" height="299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg52MqCT3S1G9F6TvUAJX4qpCY79YIHGPU_2-eh5dtks61Hnw1ADxHX-xPGKSbzgNAU-2bCEIZccYRm6iNE45pgqMnbV-e6ZDbm-Na5VKl7S-W3SX7ctVYyHTS_NaTXAAMw7teS2CC7Gho/w400-h299/image.png" width="400" /></a></div><br /><b style="text-align: center;">What are the challenges of Siloed Public Clouds?</b></div><div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjTl4n4ZEnRzSuvhG2PGVEOm04zLdAUE52bWrnPaLNhbUslA3GfBHLTPx3obV5DhFKd-qttK8Ayj8jH05L8YCfLk-_0p20uuUD_HjlmpS0QHpWjJSzOSBsgpOkEf9yjHSgTrn9Ygi_O6M8/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="415" data-original-width="809" height="205" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjTl4n4ZEnRzSuvhG2PGVEOm04zLdAUE52bWrnPaLNhbUslA3GfBHLTPx3obV5DhFKd-qttK8Ayj8jH05L8YCfLk-_0p20uuUD_HjlmpS0QHpWjJSzOSBsgpOkEf9yjHSgTrn9Ygi_O6M8/w400-h205/image.png" width="400" /></a></div><div style="text-align: center;"><br /></div><b><div><b>How to Abstract Siloed Multiple Clouds?</b></div></b></div><div><div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1pOFoYrVnFRR1x6giVyT0AuQe0E9dW_8LedBUg650ZBJwmDye8K2QvdNMD9tLa41oV0pdSeIVdl8j7oUtDFmheNv_azp6LsQnGOTkyA3guBwhyphenhyphenU3LPEfwWnOW8bg3Or_ih8_4iZcIS_U/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="562" data-original-width="610" height="369" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1pOFoYrVnFRR1x6giVyT0AuQe0E9dW_8LedBUg650ZBJwmDye8K2QvdNMD9tLa41oV0pdSeIVdl8j7oUtDFmheNv_azp6LsQnGOTkyA3guBwhyphenhyphenU3LPEfwWnOW8bg3Or_ih8_4iZcIS_U/w400-h369/image.png" width="400" /></a></div></div></div></div><div><div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both;"><br /></div></div></div></div><div><b>How to identify Vendor lock-in traps?</b></div><div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgLY0F948cTQolK-yDwmizklm65CLrx0YVcVjUMi11ybEwXh5H6O-xwlnRU5mp8nXRdwG2MDBagijyl1gmNUweuioW3NiPv1Zut5GJ7ounHaW6WZCRrJtCdu1YBWvCqIun3D851jw8F9Vw/" style="margin-left: 1em; margin-right: 1em;"></a><div class="separator" style="clear: both;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgL-l8tp3ySiGKDH4SxPyxbOZWyZyKJIGYHb063-0_RpwQy7kQFFPXCnPQLb7RPe-X0ksXshsFSJGIwss88qbMZ6g9G1q4zVEPy3ibM4RaKbvY17lx3q5G7GtBUu3lgyAviVbkY1SqeJGg/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="334" data-original-width="552" height="243" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgL-l8tp3ySiGKDH4SxPyxbOZWyZyKJIGYHb063-0_RpwQy7kQFFPXCnPQLb7RPe-X0ksXshsFSJGIwss88qbMZ6g9G1q4zVEPy3ibM4RaKbvY17lx3q5G7GtBUu3lgyAviVbkY1SqeJGg/w400-h243/image.png" width="400" /></a></div><br /></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div style="text-align: left;"><span style="color: #ffa400;">So, if you have applications running on VM's or Containers, you have a greater choice to move your applications across multiple clouds!</span></div><br /></div></div></div></div><div><b>How to Avoid Vendor Lock-in?</b></div><div><div><ul style="text-align: left;"><li>Understand complex dependencies in Apps/IT</li><li>Find out Commonalities in IT infra and applications </li><li>Upgrade network, platforms & apps before migrating to the cloud</li><li>Educate management & stakeholders about the cloud computing </li><li>Develop or redevelop portable apps, align to open source & standards</li><li>Modernise SDLC methodologies, toolset, & invest in Infrastructure as Code</li><li>Recheck Application portability after migration</li><li>Be aware of OpEx, exit strategy & revisit it frequently </li><li>Try to avoid any Native Cloud specific technology/features</li></ul></div></div><div><div class="separator" style="clear: both; text-align: center;"><br /></div><b>What is the best solution to avoid Vendor Lock-in?</b></div><div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgp3Vl_zcuxEIw77MAIZsKtNzNpcQRgbYW0uVBMSutA66RDgJR3V5YUV9DUm1QpCwAw-lHW5nc1IqSKroMlHODXuxdjDUkOT0rEqKHhYgBtv775c6mjYqiFe0NNkQShZiETnb8S7MgwvEo/" style="margin-left: 1em; margin-right: 1em;"></a><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgp3Vl_zcuxEIw77MAIZsKtNzNpcQRgbYW0uVBMSutA66RDgJR3V5YUV9DUm1QpCwAw-lHW5nc1IqSKroMlHODXuxdjDUkOT0rEqKHhYgBtv775c6mjYqiFe0NNkQShZiETnb8S7MgwvEo/" style="margin-left: 1em; margin-right: 1em;"></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhtIlQ1DiKvCY9FIRlqzEPq7z3bf8TkzIcwCEIS6HC06VNQ8Ge1iDWwStuaHo-dIwt0HVG9UAannqmmYVoid9f8Z52Vpgl_uWrIUOVnlkOWLAB5VqfJtFWFmKPQWky_iuSocAvS6X02s6I/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="880" data-original-width="1540" height="229" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhtIlQ1DiKvCY9FIRlqzEPq7z3bf8TkzIcwCEIS6HC06VNQ8Ge1iDWwStuaHo-dIwt0HVG9UAannqmmYVoid9f8Z52Vpgl_uWrIUOVnlkOWLAB5VqfJtFWFmKPQWky_iuSocAvS6X02s6I/w400-h229/image.png" width="400" /></a></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><span style="color: #ffa400;">Furthermore, if you modernize your applications, breaking them into micro-services, will give you added advantage, wherein you will be able to easily utilize multiple clouds with no or minimum refactoring of applications. </span><span style="color: #ffa400;">In addition to this, your platform operations and engineering team do not have to maintain too many cloud-specific platforms! </span></div><br /></div><b>What should be the operational guardrails?</b></div><div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjw6hBvlPEcNGPcGVgIn8FlWRul2FfIpZb21gDKyszqgBRsvc-UMHu1fMal4M_VR0C99EmJoKVxeOkL2uK2TA0lVl0WfIqi3f3n-37QhzXEouHUVENfUn2zfXGJQuBSY9o3QsXdrlnBy4I/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="762" data-original-width="1640" height="186" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjw6hBvlPEcNGPcGVgIn8FlWRul2FfIpZb21gDKyszqgBRsvc-UMHu1fMal4M_VR0C99EmJoKVxeOkL2uK2TA0lVl0WfIqi3f3n-37QhzXEouHUVENfUn2zfXGJQuBSY9o3QsXdrlnBy4I/w400-h186/image.png" width="400" /></a></div><br /></div></div><div><b>How to handle Security in Multi-Cloud?</b></div><div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjRqz2UP3j4N59NeDJYb1a8ZiU5dfYuJNzllz-ui1uQfYpmtMXvXjVmO8Tfr4kulXlPTJK7ObIy4m5hiOULQouR3xWIn1Jcc2i0_Bi-C43tNf4FVFZmuNDPk5mwEnNdqnkXMCSLewtlB34/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="766" data-original-width="1582" height="194" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjRqz2UP3j4N59NeDJYb1a8ZiU5dfYuJNzllz-ui1uQfYpmtMXvXjVmO8Tfr4kulXlPTJK7ObIy4m5hiOULQouR3xWIn1Jcc2i0_Bi-C43tNf4FVFZmuNDPk5mwEnNdqnkXMCSLewtlB34/w400-h194/image.png" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;">Apart from this, you need to decide the multi-tenant architecture/solution</div><br /><div><b>Which IaaS clouds I should pick up?</b></div><div><ul><li>No brainer, just follow Magic Quadrant!</li></ul></div></div><div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: left;"><div><div><div><b>Which PaaS I should pick up?</b></div><div><ul style="text-align: left;"><li>Again, no brainer, just google, which company provides consistent VM and Container platforms across on-prem and multiple clouds, so that you can run any application, on any cloud and access from any device! </li></ul><b>What skills are required in a Multi-Cloud environment?</b></div></div><div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: left;"><div></div></div></div></div><div><ul><li>Virtualization, Various IaaS Clouds knowledge, K8s, API, Scripting, IaC, CI/CD/Release automation etc.</li></ul></div><div></div><b>How to Structure the Multi-Cloud team?</b></div><div><ul><li><b>Core teams</b>: Cloud Infra and networking, Platform Operations & Engineering, CI/CD - Release Engineering</li><li><b>Common services</b>: Architecture, Command Center, Monitoring Tools and Change management</li><li><b>Consumers</b>: IT Development, Business Technical Analyst, Business Units, and ultimately your end customers!</li></ul></div><div><div><b>Define RACI, always be clear who is accountable!</b></div><div><div class="separator" style="clear: both; font-weight: bold; text-align: center;"><br /></div><div class="separator" style="clear: both; font-weight: bold; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjpCe2Se_dACZTCGPsGvC1XyNYC0F_vquohwY60Rsl76rdOya5Ju-5igLr36VKaHpsJGULzQDx8xYLBxvH-pT7yK19FlKWPNJbTTDrvG4hIBuRD7SOSWXJvVCZHd3uZx-2RGeMXg3RiGOM/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="240" data-original-width="825" height="116" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjpCe2Se_dACZTCGPsGvC1XyNYC0F_vquohwY60Rsl76rdOya5Ju-5igLr36VKaHpsJGULzQDx8xYLBxvH-pT7yK19FlKWPNJbTTDrvG4hIBuRD7SOSWXJvVCZHd3uZx-2RGeMXg3RiGOM/w400-h116/image.png" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;">Here is a sample high-level RACI!</div><br /></div><div><b>Last but not least, What cultural change is required to succeed in a multi-cloud world?</b></div><div><b><br /></b></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiKc379gpP3GqnyXd3bSHC2nrjFG8VcGNv6FfuKT7_kH6P19vFdsxViEDsjAW3sQ_6ewpbNxfsZRY_kEvn26l0GYnzdLTqOlkHzrNZgTak6uXhAVrGLlTkxx7Cb3gaknkZLC8G8kNSgHeE/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="886" data-original-width="1588" height="224" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiKc379gpP3GqnyXd3bSHC2nrjFG8VcGNv6FfuKT7_kH6P19vFdsxViEDsjAW3sQ_6ewpbNxfsZRY_kEvn26l0GYnzdLTqOlkHzrNZgTak6uXhAVrGLlTkxx7Cb3gaknkZLC8G8kNSgHeE/w400-h224/image.png" width="400" /></a></div></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both;">Move away from a top-down approach to Collaboration! </div></div></div></div></div></div></div>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com2tag:blogger.com,1999:blog-6722229186756834263.post-67401647117329003662021-06-29T23:33:00.003-07:002023-06-23T10:46:39.924-07:00Exploratory data analysis using Python<p style="background-color: white; box-sizing: border-box; color: #24292e; font-family: -apple-system, system-ui, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px; margin-bottom: 16px; margin-top: 0px;">Open-sourcing Python module for Exploratory Data Analysis, which can be used for any data set</p><p style="background-color: white; box-sizing: border-box; color: #24292e; font-family: -apple-system, system-ui, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px; margin-bottom: 16px; margin-top: 0px;">This module has the following sub-functions for the data analysis</p><ol style="background-color: white; box-sizing: border-box; color: #24292e; font-family: -apple-system, system-ui, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px; margin-bottom: 16px; margin-top: 0px; padding-left: 2em;"><li style="box-sizing: border-box;">Getting to know the data</li><li style="box-sizing: border-box; margin-top: 0.25em;">Data pre-processing / missing data</li><li style="box-sizing: border-box; margin-top: 0.25em;">Crosstable and data validation and visualization</li><li style="box-sizing: border-box; margin-top: 0.25em;">Logistic Regression on the data set</li><li style="box-sizing: border-box; margin-top: 0.25em;">KNN analysis</li></ol><span face="-apple-system, system-ui, Segoe UI, Helvetica, Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji" style="color: #24292e;">How to use it?</span><div><span face="-apple-system, system-ui, Segoe UI, Helvetica, Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji" style="color: #24292e;"><br /></span><div><ol style="background-color: white; box-sizing: border-box; color: #24292e; font-family: -apple-system, system-ui, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size: 16px; margin-bottom: 16px; margin-top: 0px; padding-left: 2em;"><li style="box-sizing: border-box;">Please install Anaconda <a href="https://docs.anaconda.com/anaconda/navigator/" rel="nofollow" style="background-color: transparent; box-sizing: border-box; text-decoration-line: none;">https://docs.anaconda.com/anaconda/navigator/</a></li><li style="box-sizing: border-box; margin-top: 0.25em;">Please install Spider IDE <a href="https://docs.spyder-ide.org/current/index.html" rel="nofollow" style="background-color: transparent; box-sizing: border-box; text-decoration-line: none;">https://docs.spyder-ide.org/current/index.html</a></li><li style="box-sizing: border-box; margin-top: 0.25em;">Download the eda.py from <a href="https://github.com/myadavin/eda.py" target="_blank">this project repo</a> and a few sample data sets </li><li style="box-sizing: border-box; margin-top: 0.25em;">Run the eda.py in Spider IDE, and when prompted, provide the data file</li><li style="box-sizing: border-box; margin-top: 0.25em;">Graphs will be populated in the Plots area in Spider</li><li style="box-sizing: border-box; margin-top: 0.25em;">At any point in time, you can exit a particular loop or sub-function by typing 'exit'</li></ol><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgorV1jZC01OFB6cdZZG6G83gAy0juRq5IdGn7Nv7NMZReL910yVyPq4unWilbYbAymeEmtVpltGtSwsYk02ZIZmv1Q1qqXqYT6vsFJXkrcRlp0rrMlpbKAV8YMxrYDcnrWTlJ9vjVEuU4/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="484" data-original-width="858" height="226" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgorV1jZC01OFB6cdZZG6G83gAy0juRq5IdGn7Nv7NMZReL910yVyPq4unWilbYbAymeEmtVpltGtSwsYk02ZIZmv1Q1qqXqYT6vsFJXkrcRlp0rrMlpbKAV8YMxrYDcnrWTlJ9vjVEuU4/w400-h226/image.png" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;">GitHub Repo URL: <a href="https://github.com/myadavin/eda.py" target="_blank">https://github.com/myadavin/eda.py</a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><br /><div dir="ltr" style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px;" trbidi="on">Also, please check out my other posts related to this subject</div><div dir="ltr" style="background-color: white; color: #333333; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 14.85px;" trbidi="on"><ul style="line-height: 1.4; list-style-image: initial; list-style-position: initial; margin: 0.5em 0px; padding: 0px 2.5em;"><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><span style="font-size: 14.85px;"><a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" style="color: #336699; text-decoration-line: none;" target="_blank">Artificial Intelligence, Machine Learning and Deep Learning for IT Operations</a></span></li><li style="border: none; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2021/06/cloud-computing-and-data-analytics.html" style="color: #336699; font-size: 14.85px; text-decoration-line: none;" target="_blank">Cloud Computing and Data Analytics fundamentals</a></li><li style="border: none; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2016/11/operations-management.html" style="color: #336699; text-decoration-line: none;" target="_blank">IT Operations Management</a></li><li style="border: none; font-size: 14.85px; margin: 0px 0px 0.25em; padding: 0px;"><a href="https://yadavmukund.blogspot.com/2023/06/mttic-mean-time-to-identify-change-that.html" style="color: #336699; text-decoration-line: none;" target="_blank">MTTIC</a></li></ul></div></div></div></div>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com1tag:blogger.com,1999:blog-6722229186756834263.post-40367860485248484382021-06-22T04:47:00.023-07:002021-06-26T09:38:31.183-07:00Work/Study from home (Home Office/Study setup)<p>Due to pandemic, the new normal for IT professionals is, work from home, OR for the students, Study from home, which means you have to seriously re-look at your home office/study set up so that you can work/study comfortably without compromising your health/productivity/study.</p><p>Here are few things, which I have listed, that may help you set up a decent home office/study </p><p><b>Power backup </b></p><div style="text-align: left;">- <a href="https://www.amazon.in/s?k=invertor&ref=nb_sb_noss" target="_blank">Invertor</a> - In case your house/flat do not have a power backup/generator <br />- <a href="https://www.amazon.in/s?k=modem+ups&ref=nb_sb_noss_2" target="_blank">Modem UPS</a> OR <a href="https://www.amazon.in/s?k=ups&ref=nb_sb_noss_1" target="_blank">Small UPS</a> for modem - This is a <b>must</b> for uninterrupted internet connection</div><div style="text-align: left;">- <a href="https://www.amazon.in/s?k=powerbank&ref=nb_sb_noss_2" target="_blank">Powerbank</a> for mobile charging, in case you have to take a meeting from other location in your house</div><p><b>Internet</b></p><div style="text-align: left;">- <a href="https://www.airtel.in/broadband/delhi?icid=quick_action" target="_blank">Broadband (minimum 100 mbps speed)</a><br />- <a href="https://www.amazon.in/s?k=lan+cable+30+meter&crid=2UMM6JF6WX52M&sprefix=lan+cable%2Caps%2C290&ref=nb_sb_ss_ts-doa-p_4_9" target="_blank">LAN Cable</a> - This will avoid any WiFi speed fluctuation and you will get consistent speed. You may have to get <a href="https://www.amazon.in/s?k=lan+cable+clips&ref=nb_sb_noss_2" target="_blank">clips</a> to fix it as well.</div><div style="text-align: left;">- <a href="https://www.youtube.com/watch?v=9hItJNvMlKY" target="_blank">Set up the Mobile hot spot</a> - This is in case broadband is not working</div><div style="text-align: left;"><div>- <a href="https://www.reliancedigital.in/jio-jmr541-wireless-router-black/p/491193780" target="_blank">Additional Hot spot</a> other than the broadband internet service provider</div><div><br /></div></div><p><b>Home office/study setup</b></p><div style="text-align: left;">- Well ventilated and illuminated area such as <a href="https://www.google.com/search?q=covered+balcony+home+office+ideas&sxsrf=ALeKk02PtM1_w2zW2EDCmaz9522mvhP9tw:1624416042154&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjTrqOp3azxAhUlzTgGHdm3DBsQ_AUoAXoECAEQAw&biw=1706&bih=918" target="_blank">Covered Balcony</a> or near a window </div><div style="text-align: left;">- <a href="https://www.amazon.in/s?k=Ergonomic+Cahir&dc&ref=a9_asc_1" target="_blank">Ergonomic Chair</a> <br />- <a href="https://www.amazon.in/s?k=home+office+table&ref=nb_sb_noss" target="_blank">Table</a> - If possible height adjustment table</div><div style="text-align: left;">- <a href="https://www.amazon.in/dp/B084GSJFDK/ref=cm_sw_em_r_mt_dp_WM7HP75BDGPWHQVNRAF6 " target="_blank">Optional Sofaset laptop table</a><br />- <a href="https://www.amazon.in/s?k=keyboard+tray&ref=nb_sb_noss_2" target="_blank">Keyboard and mouse tray</a> - height and angle adjustable</div><div style="text-align: left;">- <a href="https://www.amazon.in/s?k=spike+guard+with+usb&crid=D867GIXOLDPR&sprefix=spike+gu%2Caps%2C366&ref=nb_sb_ss_ts-doa-p_1_8" target="_blank">Spike guard with USB</a> <br />- <a href="https://www.amazon.in/s?k=table+lamp&ref=nb_sb_noss_1" target="_blank">Table lamp</a><br />- <a href="https://www.amazon.in/s?k=laptop+stand&ref=nb_sb_noss_2" target="_blank">Laptop stand</a><br />- <a href="https://www.amazon.in/s?k=mobile+stand&ref=nb_sb_noss_2" target="_blank">Mobile stand</a><br />- <a href="https://www.amazon.in/s?k=whiteboard&crid=UDHH14TI3A29&sprefix=white%2Caps%2C307&ref=nb_sb_ss_ts-doa-p_1_5" target="_blank">Whiteboard</a>, <a href="https://www.amazon.in/s?k=white+board+marker+pen&ref=nb_sb_noss_1" target="_blank">markers</a> and <a href="https://www.amazon.in/s?k=white+board+duster&ref=nb_sb_noss_2" target="_blank">duster</a><br />- <a href="https://www.amazon.in/s?k=pinboard&ref=nb_sb_noss_1" target="_blank">Pinboard</a> and <a href="https://springpeople.qwiklabs.com/" target="_blank">Sticky notes</a></div><div style="text-align: left;">- <a href="https://www.amazon.in/s?k=book+shelf&ref=nb_sb_noss_2" target="_blank">Bookshelf</a><br /><div>- <a href="https://www.amazon.in/s?k=footrest&ref=nb_sb_noss_2" target="_blank">Footrest</a> and <a href="https://www.amazon.in/s?k=anti+skid+bath+mat&ref=nb_sb_noss" target="_blank">Anti-skid mat</a></div>- <a href="https://www.amazon.in/s?k=Diary+and+pen&ref=nb_sb_noss_2" target="_blank">Diary and pen</a></div><div style="text-align: left;">- <a href="https://www.amazon.in/s?k=usb+fan&ref=nb_sb_noss_2" target="_blank">USB Fan</a></div><div style="text-align: left;"><br /></div><p><b>IT Hardware</b></p><div style="text-align: left;">- Laptop/Tablet and charger<br />- Additional <a href="https://www.amazon.in/s?k=22%22+monitor&ref=nb_sb_noss" target="_blank">Monitor(s) </a>- if you work on multiple applications <br />- <a href="https://www.amazon.in/s?k=usb+speaker+for+laptop&ref=nb_sb_noss_1" target="_blank">Speaker</a> </div><div style="text-align: left;">- <a href="https://www.amazon.in/s?k=headphone+for+laptop&ref=nb_sb_noss_2" target="_blank">Headphone</a> for meetings</div><div>- <a href="https://www.amazon.in/s?k=webcam&ref=nb_sb_noss" target="_blank">Webcam</a> - If required</div><div>- <a href="https://www.amazon.in/s?k=wireless+keyboard+and+mouse&ref=nb_sb_noss" target="_blank">Wireless keyboard and mouse</a> - preferred</div><div>- <a href="https://www.amazon.in/s?k=home+printer&ref=nb_sb_noss_2" target="_blank">Printer + Scanner</a> and <a href="https://www.amazon.in/s?k=a4+papers+white+500+sheets&ref=nb_sb_noss" target="_blank">A4 Papers</a>- if required</div><div>- <a href="https://www.amazon.in/KANGARO-set-stapler-paper-punch/dp/B01N5VM9PT/ref=sr_1_4?crid=32NGM5SDLBFVO&dchild=1&keywords=steplar&qid=1624416762&sprefix=stepl%2Caps%2C303&sr=8-4" target="_blank">Stepler and Punch set</a></div><div>- <a href="https://www.amazon.in/s?k=usb+hub&ref=nb_sb_noss_2" target="_blank">Adaptors (USB Hub, converters etc)</a></div><div>- <a href="https://www.amazon.in/s?k=external+hard+disk+1tb&ref=nb_sb_noss" target="_blank">External HDD for backup</a></div><div>- <a href="https://www.amazon.in/s?k=wireless+mobile+charger&ref=nb_sb_noss" target="_blank">Wireless Mobile charger</a></div><div>- <a href="https://www.amazon.in/s?k=bluetooth+headset+mobile&ref=nb_sb_noss" target="_blank">Bluetooth headphone for mobile </a></div><div><div>- <a href="https://www.amazon.in/s?k=usb+charger&ref=nb_sb_noss_1" target="_blank">Additional micro USB charger for power bank</a></div></div><div><br /></div><p><b>Softwares</b></p><div style="text-align: left;">- Speedtest<br /></div><div style="text-align: left;">- Any other software you want for productivity like to-do/planner etc</div><div style="text-align: left;"><br /></div><p style="text-align: left;"><b>Mobile setup / Apps: </b>Setup commonly required office apps on mobile, so that you can operate from anywhere.</p><div style="text-align: left;">- eMail</div><div style="text-align: left;">- Calendar </div><div style="text-align: left;">- Zoom</div><div style="text-align: left;">- Teams</div><div style="text-align: left;">- Slack</div><div style="text-align: left;">- MS Office (Word, Excel, PowerPoint) </div><div style="text-align: left;">- Acrobat Reader</div><div style="text-align: left;">- Chrome</div><div style="text-align: left;">- Reminder / Alarm</div><div style="text-align: left;">- Any other tools you generally use in the office</div><div style="text-align: left;"><br /></div><p><b>Other</b></p><div style="text-align: left;">- <a href="https://www.amazon.in/s?k=yoga+mat&ref=nb_sb_noss_2" target="_blank">Yoga</a> mat <br />- <a href="https://www.amazon.in/s?k=fitness+watch&ref=nb_sb_noss_1" target="_blank">Fitness watch</a></div><div style="text-align: left;">- <a href="https://www.amazon.in/s?k=home+exercise+equipment&ref=nb_sb_noss_1" target="_blank">Home exercise equipment</a></div><div style="text-align: left;">- <a href="https://yadavmukund.blogspot.com/2020/08/work-life-balance-in-covid-19-situation.html" target="_blank">Work-Life-Study Balance</a> recommendations/suggestions</div><p>And here is my home office setup!</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjxMygjk1DYZwX1uqdVVzjfEjZyMqdTEYkf85P2Vt6b3NUWk5HHEh2FH3lpWdfS4zPJH_sfH18sQGdKc8vfzqdJUjvuax39cpI7_JKN0SQDIs0xi9twfZfIGQ__327eqLLIt6sdDcvPNlE/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="1024" data-original-width="1024" height="513" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjxMygjk1DYZwX1uqdVVzjfEjZyMqdTEYkf85P2Vt6b3NUWk5HHEh2FH3lpWdfS4zPJH_sfH18sQGdKc8vfzqdJUjvuax39cpI7_JKN0SQDIs0xi9twfZfIGQ__327eqLLIt6sdDcvPNlE/w513-h513/image.png" width="513" /></a></div><br /><br /><p></p>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com2tag:blogger.com,1999:blog-6722229186756834263.post-79016372487243113622021-06-06T21:30:00.010-07:002021-06-11T06:25:37.291-07:00Cloud Computing and Data Analytics fundamentals <p>Cloud Computing and Data Analytics fundamentals </p><p>Suitable for University Students and PhD aspirants</p><div class="separator" style="clear: both; text-align: center;"><p style="text-align: left;">Youtube recorded video link <a href="https://youtu.be/Q01Q1PYtH7o" target="_blank">https://youtu.be/Q01Q1PYtH7o</a></p><p style="text-align: left;"><br /></p><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="406" src="https://www.youtube.com/embed/Q01Q1PYtH7o" width="489" youtube-src-id="Q01Q1PYtH7o"></iframe></div><br /><div><br /></div></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjutSan4Zk43z61GwLvpBZYu4-_XwZdbO_pgZkRz0GQhIuRzWQzYZGoBLbMUa2oAnZsiTddf1pkUCYtzbcMlBPoTEGuEfvNLAYAYPOrsEJ_Pw0ffL7_q092CPt1KMlGJHJvFs4fji7iOWM/s1280/cloud_data_analytics.jpeg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1280" data-original-width="923" height="534" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjutSan4Zk43z61GwLvpBZYu4-_XwZdbO_pgZkRz0GQhIuRzWQzYZGoBLbMUa2oAnZsiTddf1pkUCYtzbcMlBPoTEGuEfvNLAYAYPOrsEJ_Pw0ffL7_q092CPt1KMlGJHJvFs4fji7iOWM/w385-h534/cloud_data_analytics.jpeg" width="385" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhknyTGd16QqT8pUwR04DiyxvT-DKs-AgOtwKcRC4IWAgdkYBU8xXd1d3aoapzUa9Yr0ZHCmZWJSPnLxfiaytW7PjZzSJlBCz8itEFUtfLfoOMX83zKFb-knTkdsCk1yXBa8jtDfvZ0TAw/s2048/CC-DA-Presentation.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1470" data-original-width="2048" height="277" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhknyTGd16QqT8pUwR04DiyxvT-DKs-AgOtwKcRC4IWAgdkYBU8xXd1d3aoapzUa9Yr0ZHCmZWJSPnLxfiaytW7PjZzSJlBCz8itEFUtfLfoOMX83zKFb-knTkdsCk1yXBa8jtDfvZ0TAw/w386-h277/CC-DA-Presentation.jpg" width="386" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><p style="text-align: left;"><a href="https://yadavmukund.blogspot.com/2015/01/cloud-computing-fundamentals.html" target="_blank">Cloud Computing</a></p></div><a href="https://yadavmukund.blogspot.com/2018/02/artificial-intelligence-machine.html" target="_blank">Data Analytics </a><div><br /></div>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-40332708228757053802021-01-18T09:25:00.003-08:002021-01-19T04:01:22.934-08:00Gradual Database Password Rollover for Applications<p><b>Gradual Database Password Rollover for Applications</b></p><p>You are not getting downtime for your <a href="https://www.vmware.com/in/solutions/business-critical-apps.html">business-critical</a> or <a href="https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/products/workspace-one/vmw-faq-intelligence-for-consumer-apps.pdf">customer-facing</a> application and you still need to change the password for the <a href="https://digitalguardian.com/blog/what-sox-compliance">SoX compliance</a>? so here is the solution, change database passwords without downtime! </p><p>Starting from <a href="https://docs.oracle.com/en/database/oracle/oracle-database/21/index.html" target="_blank">Oracle Database 21c</a>, we can change the database password without any application downtime.</p><p>To explain this new feature, let's consider a simple application running on 3 nodes and load balanced using software of hardware load balancer. </p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEievn2ANxunCzgcHXAps8JIS_QqZ_9NxS5NwmYg78ikVpQrjD3J4Eg24OCgaKXAAVPCfg0IE7tn7Bj_sIZA7qEXnxYYicPKp_vCSwsMupFz_8ABEEs4tszyX6QvdxtmSzybK9CsF-lBJM8/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="469" data-original-width="376" height="314" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEievn2ANxunCzgcHXAps8JIS_QqZ_9NxS5NwmYg78ikVpQrjD3J4Eg24OCgaKXAAVPCfg0IE7tn7Bj_sIZA7qEXnxYYicPKp_vCSwsMupFz_8ABEEs4tszyX6QvdxtmSzybK9CsF-lBJM8/w251-h314/image.png" width="251" /></a></div><br />Typically, in a normal scenario, if you have to change the database schema password, you need to bringdown application services from all 3 app nodes, change the password in the database, change the config password in app nodes (or <a href="https://www.vaultproject.io/">vault</a>) and start the application services in all 3 app nodes.<p></p><p>Now, you don't need downtime of the application - here is how you can do it.</p><p>1) <a href="https://education.oracle.com/oracle-dba-overview">DBA</a> need to associate a profile having a non-zero limit for the PASSWORD_ROLLOVER_TIME password profile parameter, with an application schema. That means, when you are changing the password, your old and new password will be active for the specified time in PASSWORD_ROLLOVER_TIME.</p><p>2) Change the config file in all 3 App nodes or <a href="https://www.vaultproject.io/">vault</a>. Till now, the application will use the old password. </p><p>3) Restart the App nodes one by one (There will not be any downtime to colleagues as, at any point of time during the restart of app services, the remaining least 2 nodes will be serving the requests), once the application is restarted, it will pick up the new password.</p><p>Please note that when the rollover time is expired, the old password can not be used. That means, we have to complete all the above 3 steps within the time mentioned in PASSWORD_ROLLOVER_TIME.</p><p>So, to conclude, you can adhere to SoX compliance requirements and also keep your <a href="https://www.vmware.com/in/solutions/business-critical-apps.html">business-critical</a> or <a href="https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/products/workspace-one/vmw-faq-intelligence-for-consumer-apps.pdf">customer-facing</a> application up and running!</p>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com2tag:blogger.com,1999:blog-6722229186756834263.post-63582984269298379172020-08-03T03:48:00.024-07:002023-10-30T22:04:26.920-07:00Work-Life-Study balance during and after COVID-19!COVID-19 has changed the way we work and operate! We are no longer going to the office, which is saving the commute time, however, on the other hand, the number of meetings has increased. Earlier, we used to finish face-to-face discussions in 5 minutes, and now we are spending more time on online calls. This can be a little challenging if your spouse is also working and you have school-going kids as well. Your spouse also has to work, and kids have online classes and submissions. Last but not least, you are spending time in your home, and your home office setup may not be ergonomic as well. In this situation, you may face work-life-study balance challenges.<div><br /><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img alt="too busy" src="https://sdk.bitmoji.com/render/panel/623651e8-964f-4e70-a570-76aaf85d8ab3-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">Work-Life-Study Balance<br /></td></tr></tbody></table><div><br /></div><div>There are a few things that you can try out. </div><div><br /></div><div>Carve out dedicated time for the family, for example, Breakfast time (8:00 AM to 9:00AM), lunchtime (1:00 PM to 2:00 PM), Study time (6:00 to 7:00 PM), and Dinner time (7:00 PM to 8:00 PM). Avoid taking any meetings during these times/breaks. Block this time in your calendar, so that no one can book your calendar during this time.</div><div><br /></div><div><img alt="cooking" height="162" src="https://sdk.bitmoji.com/render/panel/48c7fc4f-b6c7-4ab4-85e7-f637a80a07b6-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="162" /><img alt="bbq" height="162" src="https://sdk.bitmoji.com/render/panel/3c2cf2dd-36b1-4315-9b1e-d9e2c2fc0b15-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="162" /><img alt="let's eat" height="162" src="https://sdk.bitmoji.com/render/panel/8b681f55-6f51-49db-87cb-0b97070cde69-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="162" /></div><div><br /></div><div>Segregate meetings into must-have, good to have, and nice to have. Take your judgment on good-to-have and nice-to-have meetings. Try to either reduce the frequency instead of weekly, make it fortnightly, or cancel the meeting series for a few months, etc. You have to attend and participate in "must-have" meetings. </div><div><br /></div><div><img alt="Clientmoji" height="205" src="data:image/png;base64,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" width="205" /></div><div><br /></div><div>Segregate your to-do list into 2X2 urgent and important matrix (The <a href="https://asana.com/resources/eisenhower-matrix" target="_blank">Eisenhower </a>Matrix )and try to complete them within the time. </div><div><br /></div><div><img alt="Bitmoji Image" height="203" src="https://sdk.bitmoji.com/render/panel/94f2aaf9-22c9-49ad-b876-73715887f6b8-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="203" /></div><div><br /></div><div><br /></div><div>While dealing with emails, remember 4D's [Do (take action), Delegate, Differ, Delete]. The same thing applies to your calendar as well. </div><div><br /></div><div><img alt="Clientmoji" height="205" src="data:image/png;base64,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" width="205" /></div><div><br /></div><div>Take regular time off.</div><div><br /></div><div><img alt="Clientmoji" height="256" src="data:image/png;base64,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" width="256" /></div><div><br /></div><div>Do meditation and exercise </div><div><br /></div><div><img alt="deep breaths" height="203" src="https://sdk.bitmoji.com/render/panel/ea735ccc-d6b0-4ea8-a360-9c21812a2683-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="203" /><img alt="tree pose" height="203" src="https://sdk.bitmoji.com/render/panel/41b1a858-a5b6-485f-af88-696b8e05d2b1-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="203" /></div><div><br /></div><div>Seek help from your friends/manager/mentor.</div><div><img alt="help!" height="254" src="https://sdk.bitmoji.com/render/panel/02919870-550c-48e9-b644-df89ae03584e-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="254" /></div><div><br /></div><div>Eat healthy food, and get proper rest/sleep.</div><div><br /></div><div><img alt="Bitmoji Image" height="203" src="https://sdk.bitmoji.com/render/panel/f86f936d-3f32-407c-9da6-34dfb4ddf198-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="203" /><img alt="Sleeping" height="203" src="https://sdk.bitmoji.com/render/panel/8a22b4b2-2168-4776-8bd2-b4df68faed29-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="203" /></div><div><br /></div><div><br /></div><div>Stay home, and keep in touch with your friends, and family members using video calls/chat</div><div><br /></div><div><img alt="stay home" height="203" src="https://sdk.bitmoji.com/render/panel/02ade89e-eaff-4cc0-8cb5-139797d74a55-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="203" /><img alt="video chat" height="203" src="https://sdk.bitmoji.com/render/panel/a9d40ff4-a74d-43db-9b0d-a720f5b6cf06-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="203" /></div><div><br /></div><div>Last but not least, invest in good <a href="https://yadavmukund.blogspot.com/2021/06/working-from-home-home-office-setup.html" target="_blank">ergonomic furniture</a> so that you don't get into long-term health issues like backache etc. </div><div><br /></div><div><img alt="working from home" height="254" src="https://sdk.bitmoji.com/render/panel/e7be203e-0f71-445a-a230-8191338a5642-ed7b0a6e-e0ab-47ed-b218-528a604278ee-v1.png?transparent=1&palette=1" width="254" /></div><div><br /></div></div>Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com4tag:blogger.com,1999:blog-6722229186756834263.post-72695483191069917572020-02-08T12:04:00.000-08:002020-02-08T12:14:41.730-08:00Bitnami<div dir="ltr" style="text-align: left;" trbidi="on">
In this blog, I want to introduce you to Bitnami!<br />
<br />
<span style="background-color: white; color: rgba(0 , 0 , 0 , 0.847); font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-weight: 700; text-indent: 48px;">About Bitnami</span><br />
<a class="Hyperlink SCXW246404420 BCX0" href="https://bitnami.com/" rel="noreferrer noopener" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 11pt; margin: 0px; padding: 0px; text-decoration-line: none; user-select: text;" target="_blank"><span class="TextRun Underlined SCXW246404420 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW246404420 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; user-select: text;">Bitnami</span></span></a><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> is a </span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW246404420 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">catalog</span></span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> of 120+ ready-to-use Web applications and development stacks, available as virtual machines, native installers, cloud images, containers and Helm charts. </span><span class="EOP SCXW246404420 BCX0" data-ccp-props="{}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span><br />
<a class="Hyperlink SCXW246404420 BCX0" href="https://cloud.vmware.com/community/2019/05/15/vmware-to-acquire-bitnami/" rel="noreferrer noopener" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 11pt; margin: 0px; padding: 0px; text-decoration-line: none; user-select: text;" target="_blank"><span class="TextRun Underlined SCXW246404420 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW246404420 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; user-select: text;">VMware acquired </span></span><span class="TextRun Underlined SCXW246404420 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW246404420 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; user-select: text;">Bitnami</span></span></a><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> on 15</span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 9.5pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun Superscript SCXW246404420 BCX0" data-fontsize="12" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; user-select: text; vertical-align: super;">th</span></span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> May 2019. </span><span class="EOP SCXW246404420 BCX0" data-ccp-props="{}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"></span><br />
<div>
<span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">There are different ways in which you, as a developer, can use </span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW246404420 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">Bitnami</span></span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">. However, </span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">one of the easier </span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">way</span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">s</span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> is to use it for offline development on your laptop. </span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">This document outlines the steps to get started with </span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW246404420 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">Bitnami</span></span><span class="TextRun SCXW246404420 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> applications for offline development.</span><span class="EOP SCXW246404420 BCX0" data-ccp-props="{}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span><br />
<span class="EOP SCXW246404420 BCX0" data-ccp-props="{}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"><br /></span></div>
<span class="TextRun MacChromeBold SCXW265355767 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-weight: bold; line-height: 31.2958px; margin: 0px; padding: 0px; text-indent: 48px;" xml:lang="EN-IN">Deployment Options</span><span class="EOP SCXW265355767 BCX0" data-ccp-props="{"335559738":240,"335559739":120}" style="font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-size: 18pt; font-weight: bold; line-height: 31.2958px; margin: 0px; padding: 0px; text-indent: 48px;"> </span><br />
<div class="OutlineElement Ltr SCXW246404420 BCX0" style="background-color: white; clear: both; color: rgba(0, 0, 0, 0.847); cursor: text; direction: ltr; font-family: "segoe ui", "segoe ui web", arial, verdana, sans-serif; margin: 0px; overflow: visible; padding: 0px; position: relative;">
<div class="OutlineElement Ltr SCXW265355767 BCX0" style="clear: both; cursor: text; direction: ltr; font-family: calibri, calibri_msfontservice, sans-serif; margin: 0px; overflow: visible; padding: 0px; position: relative;">
<div class="Paragraph SCXW265355767 BCX0" paraeid="{1e6415fb-93ea-4213-8ad1-de4a1195c4a6}{237}" paraid="954923861" style="background-color: transparent; font-size: 14.6667px; overflow-wrap: break-word; padding: 0px; vertical-align: baseline;">
<span class="TextRun SCXW265355767 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">You can deploy and use a </span><span class="TextRun SCXW265355767 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW265355767 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">Bitnami</span></span><span class="TextRun SCXW265355767 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> application in two ways:</span><span class="EOP SCXW265355767 BCX0" data-ccp-props="{}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span></div>
<div class="Paragraph SCXW265355767 BCX0" paraeid="{1e6415fb-93ea-4213-8ad1-de4a1195c4a6}{237}" paraid="954923861" style="background-color: transparent; font-size: 14.6667px; overflow-wrap: break-word; padding: 0px; vertical-align: baseline;">
<span class="TextRun SCXW265355767 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">As a virtual machine downloaded from the </span><a class="Hyperlink SCXW265355767 BCX0" href="https://bitnami.com/stacks" rel="noreferrer noopener" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; font-size: 11pt; margin: 0px; padding: 0px; text-decoration-line: none; user-select: text;" target="_blank"><span class="TextRun Underlined SCXW265355767 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW265355767 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;">Bitnami</span></span><span class="TextRun Underlined SCXW265355767 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW265355767 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;"> website</span></span></a><span class="TextRun SCXW265355767 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> or the </span><a class="Hyperlink SCXW265355767 BCX0" href="https://marketplace.vmware.com/" rel="noreferrer noopener" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; font-size: 11pt; margin: 0px; padding: 0px; text-decoration-line: none; user-select: text;" target="_blank"><span class="TextRun Underlined SCXW265355767 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW265355767 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;">VMware Marketplace</span></span></a><span class="TextRun SCXW265355767 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">;</span></div>
<div class="Paragraph SCXW265355767 BCX0" paraeid="{1e6415fb-93ea-4213-8ad1-de4a1195c4a6}{237}" paraid="954923861" style="background-color: transparent; font-size: 14.6667px; overflow-wrap: break-word; padding: 0px; vertical-align: baseline;">
<span class="TextRun SCXW265355767 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">As a </span><a class="Hyperlink SCXW265355767 BCX0" href="https://helm.sh/" rel="noreferrer noopener" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; font-size: 11pt; margin: 0px; padding: 0px; text-decoration-line: none; user-select: text;" target="_blank"><span class="TextRun Underlined SCXW265355767 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW265355767 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;">Helm chart</span></span></a><span class="TextRun SCXW265355767 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> deployed through </span><a class="Hyperlink SCXW265355767 BCX0" href="https://kubeapps.com/" rel="noreferrer noopener" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; font-size: 11pt; margin: 0px; padding: 0px; text-decoration-line: none; user-select: text;" target="_blank"><span class="TextRun Underlined SCXW265355767 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW265355767 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;">Bitnami</span></span><span class="TextRun Underlined SCXW265355767 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW265355767 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;"> </span></span><span class="TextRun Underlined SCXW265355767 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW265355767 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;">Kubeapps</span></span></a><span class="TextRun SCXW265355767 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> in your private Kubernetes cluster.</span><span class="EOP SCXW265355767 BCX0" data-ccp-props="{}" style="background-color: transparent; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span><br />
<span class="EOP SCXW265355767 BCX0" data-ccp-props="{}" style="background-color: transparent; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"><br /></span></div>
<div class="Paragraph SCXW265355767 BCX0" paraeid="{1e6415fb-93ea-4213-8ad1-de4a1195c4a6}{237}" paraid="954923861" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun MacChromeBold SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-weight: bold; line-height: 28.0583px; margin: 0px; padding: 0px; text-indent: 48px;" xml:lang="EN-IN">Use a </span><span class="TextRun MacChromeBold SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-weight: bold; line-height: 28.0583px; margin: 0px; padding: 0px; text-indent: 48px;" xml:lang="EN-IN"><span class="SpellingError SCXW39127533 BCX0" data-ccp-parastyle="heading 2" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">Bitnami</span></span><span class="TextRun MacChromeBold SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-weight: bold; line-height: 28.0583px; margin: 0px; padding: 0px; text-indent: 48px;" xml:lang="EN-IN"> Virtual Machine </span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"335559738":200,"335559739":120}" style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-size: 16pt; font-weight: bold; line-height: 28.0583px; margin: 0px; padding: 0px; text-indent: 48px;"> </span></div>
<div class="Paragraph SCXW265355767 BCX0" paraeid="{1e6415fb-93ea-4213-8ad1-de4a1195c4a6}{237}" paraid="954923861" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun MacChromeBold SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-weight: bold; line-height: 23.7417px; margin: 0px; padding: 0px; text-indent: 48px;" xml:lang="EN-IN">Assumptions and Prerequisites</span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"335559738":140,"335559739":120}" style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-weight: bold; line-height: 23.7417px; margin: 0px; padding: 0px; text-indent: 48px;">: </span><span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;" xml:lang="EN-IN">You have VMware Workstation/Player/Virtualbox installed and configured.</span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"201341983":0,"335559739":140,"335559740":288}" style="background-color: transparent; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"> </span></div>
<div class="Paragraph SCXW265355767 BCX0" paraeid="{1e6415fb-93ea-4213-8ad1-de4a1195c4a6}{237}" paraid="954923861" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun MacChromeBold SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-weight: bold; line-height: 23.7417px; margin: 0px; padding: 0px; text-indent: 48px;" xml:lang="EN-IN">Steps</span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"335559738":140,"335559739":120}" style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-size: 14pt; font-weight: bold; line-height: 23.7417px; margin: 0px; padding: 0px; text-indent: 48px;"> </span><span style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-size: 14pt; font-weight: bold; text-indent: 48px;"> </span></div>
</div>
</div>
<div class="SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: white; color: rgba(0, 0, 0, 0.847); font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 14.6667px; margin: 0px; padding: 0px; user-select: text;">
<div class="ListContainerWrapper SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; position: relative; user-select: text;">
<ol class="NumberListStyle1 SCXW39127533 BCX0" role="list" start="1" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; cursor: text; margin: 0px; overflow: visible; padding: 0px; user-select: text;">
<li aria-setsize="-1" class="OutlineElement Ltr BCX0 SCXW39127533" data-aria-level="1" data-aria-posinset="1" data-font="Calibri, Calibri_MSFontService, sans-serif" data-leveltext="%1." data-listid="5" role="listitem" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; display: block; font-size: 12pt; margin: 0px 0px 0px 72px; overflow: visible; padding: 0px; position: relative; user-select: text; vertical-align: baseline;"><div class="Paragraph SCXW39127533 BCX0" paraeid="{8bb927a7-7fc0-4631-9846-cef58d161964}{80}" paraid="853517567" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">Create and activate an account on </span><span class="TrackChangeTextInsertion TrackedChange SCXW39127533 BCX0" style="color: #0078d4; margin: 0px; padding: 0px;"><span class="TrackedChange SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; user-select: text;"><span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> You will need to provide an email address as part of the activation process; you can use either your official or personal email address.</span></span></span></div>
</li>
</ol>
</div>
<div class="ListContainerWrapper SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; position: relative; user-select: text;">
<ol class="NumberListStyle1 SCXW39127533 BCX0" role="list" start="2" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; cursor: text; margin: 0px; overflow: visible; padding: 0px; user-select: text;">
<li aria-setsize="-1" class="OutlineElement Ltr BCX0 SCXW39127533" data-aria-level="1" data-aria-posinset="2" data-font="Calibri, Calibri_MSFontService, sans-serif" data-leveltext="%1." data-listid="5" role="listitem" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; display: block; font-size: 11pt; margin: 0px 0px 0px 72px; overflow: visible; padding: 0px; position: relative; user-select: text; vertical-align: baseline;"><div class="Paragraph SCXW39127533 BCX0" paraeid="{8bb927a7-7fc0-4631-9846-cef58d161964}{97}" paraid="1221171632" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">Select the "Products -> Application </span><span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">Catalog</span></span><span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">" menu item and search for the required application, such as "</span><span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">mysql</span></span><span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">" or "</span><span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">mongodb</span></span><span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">"</span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"134233279":true}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span></div>
</li>
</ol>
</div>
<div class="OutlineElement Ltr BCX0 SCXW39127533" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; margin: 0px; overflow: visible; padding: 0px; position: relative; user-select: text;">
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<span class="TextRun EmptyTextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"></span><span class="WACImageContainer DragDrop BlobObject SCXW39127533 BCX0" role="presentation" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; cursor: default; display: inline-block; height: 164px; left: 0px; margin: 0px; padding: 0px; position: relative; top: 2px; user-select: text; width: 183px;"><span aria-hidden="true" class="WACAltTextDescribedBy SCXW39127533 BCX0" id="{c62f3c88-70e4-4491-a84d-66f4b21bf290}{161}" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; position: absolute; user-select: text; visibility: hidden; white-space: pre !important; z-index: -100;"></span><img class="WACImage SCXW39127533 BCX0" 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" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; border: none; height: 158px; margin: 1px; padding: 2px; user-select: text; vertical-align: baseline; white-space: pre !important; width: 177px;" unselectable="on" /></span><span class="TextRun EmptyTextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"></span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"134233279":true,"335559685":2160}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span></div>
</div>
</div>
<div class="SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: white; color: rgba(0, 0, 0, 0.847); font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 14.6667px; margin: 0px; padding: 0px; user-select: text;">
<div class="ListContainerWrapper SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; position: relative; user-select: text;">
<ol class="NumberListStyle1 SCXW39127533 BCX0" role="list" start="3" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; cursor: text; margin: 0px; overflow: visible; padding: 0px; user-select: text;">
<li aria-setsize="-1" class="OutlineElement Ltr BCX0 SCXW39127533" data-aria-level="1" data-aria-posinset="3" data-font="Calibri, Calibri_MSFontService, sans-serif" data-leveltext="%1." data-listid="5" role="listitem" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; display: block; font-size: 11pt; margin: 0px 0px 0px 72px; overflow: visible; padding: 0px; position: relative; user-select: text; vertical-align: baseline;"><div class="Paragraph SCXW39127533 BCX0" paraeid="{8bb927a7-7fc0-4631-9846-cef58d161964}{119}" paraid="1811886696" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">On the application detail page, click the "Virtual Machines" tab and download the OVA file for the application. This file can be used with VMware Workstation/Player. </span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"134233279":true}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span></div>
</li>
</ol>
</div>
<div class="OutlineElement Ltr SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; margin: 0px; overflow: visible; padding: 0px; position: relative; user-select: text;">
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style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; border: none; height: 68px; margin: 1px; padding: 2px; user-select: text; vertical-align: baseline; white-space: pre !important; width: 248px;" unselectable="on" /></span><span class="TextRun EmptyTextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"></span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"134233279":true,"335559685":2160}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span></div>
</div>
<div class="OutlineElement Ltr SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; margin: 0px; overflow: visible; padding: 0px; position: relative; user-select: text;">
<div class="Paragraph SCXW39127533 BCX0" paraeid="{8bb927a7-7fc0-4631-9846-cef58d161964}{129}" paraid="803890972" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; margin-left: 48px; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<br /></div>
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<div class="ListContainerWrapper SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; position: relative; user-select: text;">
<ol class="NumberListStyle1 SCXW39127533 BCX0" role="list" start="4" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; cursor: text; margin: 0px; overflow: visible; padding: 0px; user-select: text;">
<li aria-setsize="-1" class="OutlineElement Ltr SCXW39127533 BCX0" data-aria-level="1" data-aria-posinset="4" data-font="" data-leveltext="%1." data-listid="5" role="listitem" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; display: block; font-size: 11pt; margin: 0px 0px 0px 72px; overflow: visible; padding: 0px; position: relative; user-select: text; vertical-align: baseline;"><div class="Paragraph SCXW39127533 BCX0" paraeid="{8bb927a7-7fc0-4631-9846-cef58d161964}{131}" paraid="1317173551" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">Launch VMware Workstation/Player. Click "Import", select the downloaded OVA file from the previous step.</span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"134233279":true}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span></div>
</li>
</ol>
</div>
<div class="ListContainerWrapper SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; position: relative; user-select: text;">
<ol class="NumberListStyle1 SCXW39127533 BCX0" role="list" start="5" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; cursor: text; margin: 0px; overflow: visible; padding: 0px; user-select: text;">
<li aria-setsize="-1" class="OutlineElement Ltr SCXW39127533 BCX0" data-aria-level="1" data-aria-posinset="5" data-font="" data-leveltext="%1." data-listid="5" role="listitem" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; display: block; font-size: 11pt; margin: 0px 0px 0px 72px; overflow: visible; padding: 0px; position: relative; user-select: text; vertical-align: baseline;"><div class="Paragraph SCXW39127533 BCX0" paraeid="{8bb927a7-7fc0-4631-9846-cef58d161964}{138}" paraid="2121260034" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">Once the virtual machine starts, log in to the console with these credentials:</span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"134233279":true}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span></div>
</li>
</ol>
</div>
</div>
<div class="SCXW39127533 BCX0" style="background-color: white; color: rgba(0, 0, 0, 0.847); font-family: calibri, calibri_msfontservice, sans-serif; margin: 0px; padding: 0px;">
<div class="OutlineElement Ltr SCXW39127533 BCX0" style="clear: both; cursor: text; direction: ltr; font-size: 14.6667px; margin: 0px; overflow: visible; padding: 0px; position: relative;">
<div class="Paragraph SCXW39127533 BCX0" paraeid="{8bb927a7-7fc0-4631-9846-cef58d161964}{145}" paraid="609760272" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; margin-left: 144px; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">Username: </span><span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">bitnami</span></span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"134233279":true,"335559685":2160}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span></div>
</div>
<div class="OutlineElement Ltr SCXW39127533 BCX0" style="clear: both; cursor: text; direction: ltr; font-size: 14.6667px; margin: 0px; overflow: visible; padding: 0px; position: relative;">
<div class="Paragraph SCXW39127533 BCX0" paraeid="{8bb927a7-7fc0-4631-9846-cef58d161964}{151}" paraid="1725037744" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; margin-left: 144px; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">Password: </span><span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">bitnami</span></span><span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> </span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"134233279":true,"335559685":2160}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span></div>
</div>
<div class="ListContainerWrapper SCXW39127533 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; position: relative; user-select: text;">
<ol class="NumberListStyle1 SCXW39127533 BCX0" role="list" start="6" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; cursor: text; margin: 0px; overflow: visible; padding: 0px; user-select: text;">
<li aria-setsize="-1" class="OutlineElement Ltr SCXW39127533 BCX0" data-aria-level="1" data-aria-posinset="6" data-font="" data-leveltext="%1." data-listid="5" role="listitem" style="clear: both; cursor: text; direction: ltr; display: block; font-size: 11pt; margin: 0px 0px 0px 72px; overflow: visible; padding: 0px; position: relative; vertical-align: baseline;"><div class="Paragraph SCXW39127533 BCX0" paraeid="{8bb927a7-7fc0-4631-9846-cef58d161964}{159}" paraid="551015063" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun SCXW39127533 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">After login, change the password for security reasons.</span><span class="EOP SCXW39127533 BCX0" data-ccp-props="{"134233279":true}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span></div>
</li>
<li aria-setsize="-1" class="OutlineElement Ltr SCXW39127533 BCX0" data-aria-level="1" data-aria-posinset="6" data-font="" data-leveltext="%1." data-listid="5" role="listitem" style="clear: both; cursor: text; direction: ltr; display: block; font-size: 11pt; margin: 0px 0px 0px 72px; overflow: visible; padding: 0px; position: relative; vertical-align: baseline;"><div class="Paragraph SCXW39127533 BCX0" paraeid="{8bb927a7-7fc0-4631-9846-cef58d161964}{159}" paraid="551015063" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun MacChromeBold SCXW9494768 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-size: 18pt; font-weight: bold; line-height: 31.2958px; margin: 0px; padding: 0px; text-indent: 48px;" xml:lang="EN-IN"><br /></span></div>
</li>
<li aria-setsize="-1" class="OutlineElement Ltr SCXW39127533 BCX0" data-aria-level="1" data-aria-posinset="6" data-font="" data-leveltext="%1." data-listid="5" role="listitem" style="clear: both; cursor: text; direction: ltr; display: block; margin: 0px 0px 0px 72px; overflow: visible; padding: 0px; position: relative; vertical-align: baseline;"><div class="Paragraph SCXW39127533 BCX0" paraeid="{8bb927a7-7fc0-4631-9846-cef58d161964}{159}" paraid="551015063" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun MacChromeBold SCXW9494768 BCX0" data-contrast="auto" lang="EN-IN" style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-weight: bold; line-height: 31.2958px; margin: 0px; padding: 0px; text-indent: 48px;" xml:lang="EN-IN">Further Reading</span><span class="EOP SCXW9494768 BCX0" data-ccp-props="{"335559738":240,"335559739":120}" style="background-color: transparent; font-family: "liberation sans" , "liberation sans_embeddedfont" , "liberation sans_msfontservice" , sans-serif; font-weight: bold; line-height: 31.2958px; margin: 0px; padding: 0px; text-indent: 48px;"> </span></div>
</li>
</ol>
</div>
</div>
<div class="SCXW9494768 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: white; color: rgba(0, 0, 0, 0.847); font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 14.6667px; margin: 0px; padding: 0px; user-select: text;">
<div class="OutlineElement Ltr SCXW9494768 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; margin: 0px; overflow: visible; padding: 0px; position: relative; user-select: text;">
<div class="Paragraph SCXW9494768 BCX0" paraeid="{aa8b090a-edf6-4820-868a-9458f08e8b06}{154}" paraid="1206062150" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun SCXW9494768 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW9494768 BCX0" data-ccp-parastyle="Body Text" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">Bitnami</span></span><span class="TextRun SCXW9494768 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;" xml:lang="EN-IN"> Virtual Machines</span><span class="EOP SCXW9494768 BCX0" data-ccp-props="{"201341983":0,"335559739":140,"335559740":288}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"> </span></div>
</div>
</div>
<div class="SCXW9494768 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: white; color: rgba(0, 0, 0, 0.847); font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 14.6667px; margin: 0px; padding: 0px; user-select: text;">
<div class="ListContainerWrapper SCXW9494768 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; position: relative; user-select: text;">
<ul class="BulletListStyle1 SCXW9494768 BCX0" role="list" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; cursor: text; font-family: verdana; margin: 0px; overflow: visible; padding: 0px; user-select: text;">
<li aria-setsize="-1" class="OutlineElement Ltr SCXW9494768 BCX0" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext="" data-listid="11" role="listitem" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; display: block; font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 11pt; margin: 0px 0px 0px 24px; overflow: visible; padding: 0px; position: relative; user-select: text; vertical-align: baseline;"><div class="Paragraph SCXW9494768 BCX0" paraeid="{aa8b090a-edf6-4820-868a-9458f08e8b06}{160}" paraid="1817887584" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun EmptyTextRun SCXW9494768 BCX0" data-contrast="auto" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"></span><a class="Hyperlink SCXW9494768 BCX0" href="https://docs.bitnami.com/virtual-machine/get-started-vmware/" rel="noreferrer noopener" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; text-decoration-line: none; user-select: text;" target="_blank"><span class="TextRun Underlined SCXW9494768 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW9494768 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;">https://docs.bitnami.com/virtual-machine/get-started-vmware/</span></span></a><span class="TextRun EmptyTextRun SCXW9494768 BCX0" data-contrast="auto" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"></span><span class="EOP SCXW9494768 BCX0" data-ccp-props="{"201341983":0,"335559739":140,"335559740":288}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"> </span></div>
</li>
<li aria-setsize="-1" class="OutlineElement Ltr SCXW9494768 BCX0" data-aria-level="1" data-aria-posinset="2" data-font="Symbol" data-leveltext="" data-listid="11" role="listitem" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; display: block; font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 11pt; margin: 0px 0px 0px 24px; overflow: visible; padding: 0px; position: relative; user-select: text; vertical-align: baseline;"><div class="Paragraph SCXW9494768 BCX0" paraeid="{aa8b090a-edf6-4820-868a-9458f08e8b06}{166}" paraid="1896231918" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun EmptyTextRun SCXW9494768 BCX0" data-contrast="auto" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"></span><a class="Hyperlink SCXW9494768 BCX0" href="https://docs.bitnami.com/virtual-machine/faq/" rel="noreferrer noopener" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; text-decoration-line: none; user-select: text;" target="_blank"><span class="TextRun Underlined SCXW9494768 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW9494768 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;">https://docs.bitnami.com/virtual-machine/faq/</span></span></a><span class="TextRun EmptyTextRun SCXW9494768 BCX0" data-contrast="auto" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"></span><span class="EOP SCXW9494768 BCX0" data-ccp-props="{"201341983":0,"335559739":140,"335559740":288}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"> </span></div>
</li>
</ul>
</div>
<div class="OutlineElement Ltr SCXW9494768 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; margin: 0px; overflow: visible; padding: 0px; position: relative; user-select: text;">
<div class="Paragraph SCXW9494768 BCX0" paraeid="{aa8b090a-edf6-4820-868a-9458f08e8b06}{172}" paraid="369307039" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun SCXW9494768 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW9494768 BCX0" data-ccp-parastyle="Body Text" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">Bitnami</span></span><span class="TextRun SCXW9494768 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW9494768 BCX0" data-ccp-parastyle="Body Text" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;"> </span></span><span class="TextRun SCXW9494768 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="SpellingError SCXW9494768 BCX0" data-ccp-parastyle="Body Text" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; background-image: url("data:image/gif; background-position: left bottom; background-repeat: repeat-x; border-bottom: 1px solid transparent; margin: 0px; padding: 0px; user-select: text;">Kubeapps</span></span><span class="EOP SCXW9494768 BCX0" data-ccp-props="{"201341983":0,"335559739":140,"335559740":288}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"> </span></div>
</div>
<div class="ListContainerWrapper SCXW9494768 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; position: relative; user-select: text;">
<ul class="BulletListStyle1 SCXW9494768 BCX0" role="list" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; cursor: text; font-family: verdana; margin: 0px; overflow: visible; padding: 0px; user-select: text;">
<li aria-setsize="-1" class="OutlineElement Ltr SCXW9494768 BCX0" data-aria-level="1" data-aria-posinset="3" data-font="Symbol" data-leveltext="" data-listid="12" role="listitem" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; display: block; font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 11pt; margin: 0px 0px 0px 24px; overflow: visible; padding: 0px; position: relative; user-select: text; vertical-align: baseline;"><div class="Paragraph SCXW9494768 BCX0" paraeid="{aa8b090a-edf6-4820-868a-9458f08e8b06}{180}" paraid="318365566" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun EmptyTextRun SCXW9494768 BCX0" data-contrast="auto" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"></span><a class="Hyperlink SCXW9494768 BCX0" href="https://kubeapps.com/" rel="noreferrer noopener" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; text-decoration-line: none; user-select: text;" target="_blank"><span class="TextRun SCXW9494768 BCX0" data-contrast="auto" lang="EN-IN" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;" xml:lang="EN-IN">https://kubeapps.com/</span></a><span class="TextRun EmptyTextRun SCXW9494768 BCX0" data-contrast="auto" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"></span><span class="EOP SCXW9494768 BCX0" data-ccp-props="{}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 20.5042px; margin: 0px; padding: 0px;"> </span></div>
</li>
<li aria-setsize="-1" class="OutlineElement Ltr SCXW9494768 BCX0" data-aria-level="1" data-aria-posinset="4" data-font="Symbol" data-leveltext="" data-listid="12" role="listitem" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; display: block; font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 11pt; margin: 0px 0px 0px 24px; overflow: visible; padding: 0px; position: relative; user-select: text; vertical-align: baseline;"><div class="Paragraph SCXW9494768 BCX0" paraeid="{aa8b090a-edf6-4820-868a-9458f08e8b06}{186}" paraid="385849121" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun EmptyTextRun SCXW9494768 BCX0" data-contrast="auto" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"></span><a class="Hyperlink SCXW9494768 BCX0" href="https://docs.bitnami.com/kubernetes/how-to/install-use-kubeapps/" rel="noreferrer noopener" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; text-decoration-line: none; user-select: text;" target="_blank"><span class="TextRun Underlined SCXW9494768 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW9494768 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;">https://docs.bitnami.com/kubernetes/how-to/install-use-kubeapps/</span></span></a><span class="TextRun EmptyTextRun SCXW9494768 BCX0" data-contrast="auto" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"></span><span class="EOP SCXW9494768 BCX0" data-ccp-props="{"201341983":0,"335559739":140,"335559740":288}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"> </span></div>
</li>
</ul>
</div>
</div>
<div class="SCXW9494768 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: white; color: rgba(0, 0, 0, 0.847); font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 14.6667px; margin: 0px; padding: 0px; user-select: text;">
<div class="ListContainerWrapper SCXW9494768 BCX0" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; position: relative; user-select: text;">
<ul class="BulletListStyle1 SCXW9494768 BCX0" role="list" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; cursor: text; font-family: verdana; margin: 0px; overflow: visible; padding: 0px; user-select: text;">
<li aria-setsize="-1" class="OutlineElement Ltr SCXW9494768 BCX0" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext="" data-listid="12" role="listitem" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; clear: both; cursor: text; direction: ltr; display: block; font-family: Calibri, Calibri_MSFontService, sans-serif; font-size: 11pt; margin: 0px 0px 0px 24px; overflow: visible; padding: 0px; position: relative; user-select: text; vertical-align: baseline;"><div class="Paragraph SCXW9494768 BCX0" paraeid="{aa8b090a-edf6-4820-868a-9458f08e8b06}{192}" paraid="1716880092" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: transparent; color: windowtext; overflow-wrap: break-word; padding: 0px; user-select: text; vertical-align: baseline;">
<span class="TextRun EmptyTextRun SCXW9494768 BCX0" data-contrast="auto" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"></span><a class="Hyperlink SCXW9494768 BCX0" href="https://docs.bitnami.com/kubernetes/how-to/deploy-wordpress-helm-chart-using-kubeapps/" rel="noreferrer noopener" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; margin: 0px; padding: 0px; text-decoration-line: none; user-select: text;" target="_blank"><span class="TextRun Underlined SCXW9494768 BCX0" data-contrast="none" lang="EN-IN" style="color: #0563c1; font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;" xml:lang="EN-IN"><span class="NormalTextRun SCXW9494768 BCX0" data-ccp-charstyle="Internet Link" style="-webkit-tap-highlight-color: transparent; -webkit-user-drag: none; background-color: inherit; margin: 0px; padding: 0px; user-select: text;">https://docs.bitnami.com/kubernetes/how-to/deploy-wordpress-helm-chart-using-kubeapps/</span></span></a><span class="TextRun EmptyTextRun SCXW9494768 BCX0" data-contrast="auto" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"></span><span class="EOP SCXW9494768 BCX0" data-ccp-props="{"201341983":0,"335559739":140,"335559740":288}" style="font-family: "calibri" , "calibri_embeddedfont" , "calibri_msfontservice" , sans-serif; font-size: 12pt; line-height: 22.8px; margin: 0px; padding: 0px;"> </span></div>
</li>
</ul>
</div>
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Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-60526756910455151892020-02-06T09:58:00.000-08:002020-02-06T10:20:05.512-08:00Harbor<div dir="ltr" style="text-align: left;" trbidi="on">
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<img alt="Image result for harbor open source" src="data:image/png;base64,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" /></div>
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In this blog, want to introduce you to one of the open-source project called Harbor, wherein VMware has a majority of contributions. Here is the home page of Harbor <a href="https://goharbor.io/">https://goharbor.io/</a><br />
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In short, this will help you to securely store your modern cloud-native applications container images and also scan them proactively for any security vulnerabilities.<br />
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Since this is open-source, you can save a lot on license costs which you may spend on preparatory software.<br />
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It comes with lot of features like repo replication, multi-tenant, identity management, role-based access, content signing, and validation, etc.<br />
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Last but not least, you can seamlessly integrate Harbor with your CI/CD DevOps pipelines.<br />
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So, what are you waiting for, please visit <a href="https://goharbor.io/">https://goharbor.io/</a> download and start using!</div>
Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-30901312206386536032019-08-14T09:06:00.002-07:002019-08-14T09:06:25.275-07:00VMware IT’s Essential PKS-Driven Cloud-Native Journey Using vSphere CNS on vSAN<div dir="ltr" style="text-align: left;" trbidi="on">
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<h2 class="single-title" itemprop="headline" style="background-color: white; box-sizing: border-box; color: #0095d3; font-family: proxima-nova, sans-serif; font-size: 30px; font-weight: 100; line-height: 40px; margin: 0px; padding: 0px;">
VMware IT’s Essential PKS-Driven Cloud-Native Journey Using vSphere CNS on vSAN</h2>
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<a href="https://blogs.vmware.com/vov/2019/08/13/vmware-its-essential-pks-driven-cloud-native-journey-using-vsphere-cns-on-vsan/">https://blogs.vmware.com/vov/2019/08/13/vmware-its-essential-pks-driven-cloud-native-journey-using-vsphere-cns-on-vsan/</a></div>
Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-85151742168455182062019-04-07T23:33:00.002-07:002019-04-07T23:33:36.976-07:00Migrate business-critical applications across datacenter in less than 4 hours of downtime!<div dir="ltr" style="text-align: left;" trbidi="on">
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<span class="ember-view" id="ember2893" style="background: 0px 0px rgb(255, 255, 255); border: 0px; box-sizing: inherit; color: rgba(0, 0, 0, 0.9); font-family: -apple-system, system-ui, system-ui, "Segoe UI", Roboto, "Helvetica Neue", "Fira Sans", Ubuntu, Oxygen, "Oxygen Sans", Cantarell, "Droid Sans", "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Lucida Grande", Helvetica, Arial, sans-serif; font-size: 14px; line-height: inherit !important; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline; white-space: pre-wrap;"><span style="background: 0px 0px; border: 0px; box-sizing: inherit; line-height: inherit !important; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Data Center Migration of Live Business-critical applications such as Oracle eBS, External Portals such as </span></span><a class="feed-shared-text-view__hyperlink ember-view" href="http://my.vmware.com/" id="ember2897" rel="noopener noreferrer" style="background: 0px 0px rgb(255, 255, 255); border: 0px; box-sizing: inherit; color: #0073b1; font-family: -apple-system, system-ui, system-ui, "Segoe UI", Roboto, "Helvetica Neue", "Fira Sans", Ubuntu, Oxygen, "Oxygen Sans", Cantarell, "Droid Sans", "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Lucida Grande", Helvetica, Arial, sans-serif; font-size: 14px; font-weight: 600; line-height: inherit !important; margin: 0px; padding: 0px; text-decoration-line: none; touch-action: manipulation; vertical-align: baseline; white-space: pre-wrap;" target="_blank">my.vmware.com</a><span class="ember-view" id="ember2901" style="background: 0px 0px rgb(255, 255, 255); border: 0px; box-sizing: inherit; color: rgba(0, 0, 0, 0.9); font-family: -apple-system, system-ui, system-ui, "Segoe UI", Roboto, "Helvetica Neue", "Fira Sans", Ubuntu, Oxygen, "Oxygen Sans", Cantarell, "Droid Sans", "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Lucida Grande", Helvetica, Arial, sans-serif; font-size: 14px; line-height: inherit !important; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline; white-space: pre-wrap;"><span style="background: 0px 0px; border: 0px; box-sizing: inherit; line-height: inherit !important; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"> and many more integrated backend applications in less than 4 hours of downtime!</span><span style="background: 0px 0px; border: 0px; box-sizing: inherit; line-height: inherit !important; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">
</span></span><a class="feed-shared-text-view__hyperlink ember-view" href="https://lnkd.in/f6ykQFi" id="ember2929" rel="noopener noreferrer" style="background: 0px 0px rgb(255, 255, 255); border: 0px; box-sizing: inherit; color: #0073b1; font-family: -apple-system, system-ui, system-ui, "Segoe UI", Roboto, "Helvetica Neue", "Fira Sans", Ubuntu, Oxygen, "Oxygen Sans", Cantarell, "Droid Sans", "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Lucida Grande", Helvetica, Arial, sans-serif; font-size: 14px; font-weight: 600; line-height: inherit !important; margin: 0px; padding: 0px; text-decoration-line: none; touch-action: manipulation; vertical-align: baseline; white-space: pre-wrap;" target="_blank">https://lnkd.in/f6ykQFi</a></div>
Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0tag:blogger.com,1999:blog-6722229186756834263.post-74122736779133415752019-01-19T06:23:00.003-08:002019-01-19T06:23:40.782-08:00How to Implement NSX Micro-Segmentation for Adobe Experience Manager using VMware NSX Data Center<div dir="ltr" style="text-align: left;" trbidi="on">
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<a href="https://blogs.vmware.com/vov/2019/01/15/how-to-implement-nsx-micro-segmentation-for-adobe-experience-manager-using-vmware-nsx-data-center/">https://blogs.vmware.com/vov/2019/01/15/how-to-implement-nsx-micro-segmentation-for-adobe-experience-manager-using-vmware-nsx-data-center/</a><br />
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Mukund Yadavhttp://www.blogger.com/profile/05723253818026849032noreply@blogger.com0