Summary of IoT and AI Summit

Tech Talk
Presenter : Mukund Yadav
Topic : Summary of IoT and AI summit 2018
PPT : https://goo.gl/MJQUNi

NSX Micro-segmentation for Business critical enterprise applications such as SAP

My first blog on blogs.vmware.com NSX Micro-segmentation for Business critical enterprise applications such as SAP

https://blogs.vmware.com/vov/2018/07/05/how-vmware-it-implemented-nsx-data-center-micro-segmentation-for-sap/

Maximize power of Open Source in your IT !

At some point of time in your yearly financial budget planning session, you must have thought of utilizing Open Source so that you can cut down IT spent, isn't it ? Apart from "FREE" open source, you should also consider some points while going to this route. Based on my experience, here are some of the advantages and disadvantages of Open Source.

So,  GO for the most popular open source software that has large community of support behind them, so you have somewhere to go to if you need advice.

Based on my experience, here are some of the most popular open source software which has large community support.

And last but not least, according to The Tenth Annual Future of Open Source Survey, 93% of organizations use open source software and 78% run part or all of their operations on it!

Then, what are you waiting for, start utilizing Open Source and maximize it's power in your IT! 

Artificial Intelligence, Machine Learning, Deep Learning, and GenAI for IT Operations

Wondering what’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning? and how it can be used in IT Operations? well, it's quite a hot topic in the industry and you will see most of your friends talking about AI, ML, and DL. Let's see what it is and how it's useful for IT folks.

So, AI is too generic and DL is too specific. ML is the best suited for IT Operations. Here are a few of the use cases of Machine learning for IT Operations.

And finally, let's see what ML tools you can use. There are hundreds of tools available however there are a few I want to list here such as TensorFlow,  H2O, KNIME, OpenAI, etc..

Also, please check out my other posts related to this subject

• AIOps for Tenant and Platform Operations
• Exploratory data analysis using Python
• Cloud Computing and Data Analytics fundamentals
• IT Operations Management
• MTTIC

DBA as a Service - DBAaaS !

Wondering what will happen to DBA community in 2020? Well they will still be around! however  they will be doing cool stuff then ever before! Want to know what and how? please read...

By 2020, 50%+ of all Enterprise Data will be managed Autonomously and 80%+ of Application and Infrastructure Operations will be resolved Autonomously. Well this is quite possible with AI becoming reality and cementing it's foot in the industry. To move towards this direction, first of all we need to automate all the DBA tasks, and then later on implement Machine Learning so that database will take it's own decision based on what is going on in database without any / minimal involvement of DBA's. To automate all of those tasks, we need to develop framework which I call it as DBAaaS, define roles based access, and develop a DBAaaS Mobile App / Portal!

Here is quick Prototype of "DBAaaS 1.0" Mobile App developed by me in less than 2 hours using Rapid Prototype Development tool!

URL : https://gonative.io/share/rzydnx
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