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
User name : testing
Password : test

Pivotal Container Service (PKS), Kubernetes (K8s) , Dockers and Containers : in nutshell

In this blog, I will cover Pivotal Container Service (PKS), Kubernetes (K8s) , Dockers and Containers. Before we touch PKS, lets understand what is Dockers and Containers !

Once upon a time, there was Physical Server era, where in we used to have a very large server, install OS and install various applications on top of it! Then the Hypervisor Architecture was born, where in on the same server, you just need to install Hypervior which enables you to create multiple Virtual Machines and in each VM you can install OS & required App. Now there is a new Container era!

There are advantages and disadvantages of running containers directly on server. However most of the companies are taking advantages of Hpyervisor technology as well as Container technology, to build the next generation platforms.

Now lets look as Kubernetes, generally called as K8s. It's Orchestration tool for containers.

K8s cluster consists of 2 major parts, Master and Nodes. Nodes are some times called as Minions as well.
Master has 4 major parts.
1) kube-apiserver : Front-end to the control plane, exposes the API (REST) and Consumes JSON
2) Cluster store: Persistent storage for Cluster state and config, it uses etcd, the “source of truth” for the cluster and have a backup plan for it!
3) kube-controller-manager: Controller of controllers, Watches for changes & Helps maintain desired state
4) kube-scheduler : Watches apiserver for new pods, assigns work to nodes

Nodes has 3 major parts and runs Pod(s) inside them.
1) Kubelet : The main Kubernetes agent, registers node with cluster, watches apiserver, instantiates pods, reports back to master, exposes endpoint on :10255
2) Container Engine: Does container management such as Pulling images, Starting/stopping containers. Generally Docker, it can be rkt as well.
3) kube-proxy: Kubernetes networking, Pod IP addresses. All containers in a pod share a single IP. Load balances across all pods in a service

You can run multiple Pods in one node, and it is not typically recommended to run a large number of containers in a pod, it is a best practice to run a primary container along with additional containers to provide services to the primary container in a given pod.

And finally lets see, PKS !!
PKS gives IT teams the flexibility to deploy and consume Kubernetes on-premises with vSphere, or in the public cloud.  PKS 1.0 is currently supports vSphere and GCE. PKS leverages a specific BOSH release for K8s which has specific requirements.

Here are major components of PKS
1) PKS Controller : The control plane where you create, operate, scale, and Kubernetes clusters from the command line and API.
2) Built with open-source Kubernetes : Constant compatibility with GKE ensures access to the latest stable K8s releases.
3) BOSH : BOSH provides a reliable and consistent operational experience. For your Private cloud running on vSphere 6.5 or GCE Public Cloud.
4) Harbor : Harbor is your container repository
5) GCP Service Broker : The GCP Service Broker allows apps to transparently access Google Cloud APIs, from anywhere. Easily move workloads to/from Google Container Engine (GKE).
6) NSX-T : Network management and security out-of-the-box with VMware NSX-T. Multi-cloud, multi-hypervisor.

Serverless and Codeless Cloud Native Applications !

Welcome to the future of cloud, Welcome to Serverless and Codeless Cloud Native Applications!!!

In this blog I will provide overview, available options, how to build secure eCommerce website, advantages & challenges of Serverless and Codeless Cloud Native Applications, along with a live example.

Serverless computing is a cloud computing execution model in which the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity such as VM / Containers etc. It is a form of utility computing. Serverless computing still requires servers. The name "serverless computing" is used because the server management and capacity planning decisions are completely hidden from the developer or operator. Serverless code can be used in conjunction with code deployed in traditional styles, such as microservices. Alternatively, applications can be written to be purely serverless and use no provisioned services at all. Key benefits of a serverless architecture include automatic scale up and down in response to current load and the associated cost model that charges only for milliseconds of compute time used when running.

There are several options available for Serverless CNA's. Most popular and noteable are

Openwhisk - OpenWhisk is a serverless, open source cloud platform that executes functions (called actions) in response to events (called triggers) without developer concern for managing the lifecycle or operations of the containers that execute the code.

AWS Lamda AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume - there is no charge when your code is not running. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app.

Build Secure eCommerce website for free!
So the question is, can we build secure e-Commerce web site without any Developer, QA, Portal Admin, DBA, sys admin and Servers? Yes, this is possible! Here is what all you need and what all you can use to build your eCommerce site for almost free!

Website : Create your static website in Jakyll and deploy in Github for free !
Access Management : Plugin cloud based identity management solutions such as userapp.io / firebase etc
Cloud based Database : Plugin free firebase database at the back end to store your data
eCommerce functions : Plugin SnipCart into your website for shopping cart and payment gateway  functionality
Digital Delivery: Plugin in SendOwl and SendGrid for digital goods delivery and marketing and you are done !

Advantages 

1. No need to own anything - run for almost free till your business pickups up 
2. Work on your product features rather than building / managing your website 
3. No dependency on one vendor / Multiple options for similar services in market

Disadvantages

1. Multiple plugin's and inseparability 
2. Gradually you may have to start paying as and when you exhaust free limits and start looking at cost optimization using other means.

And here is one example, I built mobile app/site for my son, in 6 hours without Developer / QA /  PM / IDM  / Portal admin / DBA / Sys admin and Servers! Check this out ! 

URL : https://goo.gl/wb2bNK
User name : testing
Password : test

Enjoy, and welcome to the future of Cloud !