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In this second part of K8s-Series, I’ll explain the concept of Namespaces and when to use multiple namespaces.

Prerequisites: Watch and Read “How to Build Highly Available Kubernetes Cluster on AWS”

Topics to covered in today’s article

  • When to use multiple Namespaces?
  • How to list existing Namespaces?
  • How to create a new Namespace?
  • How to Delete the Namespace?

So, what is a Namespace?

Before we jump into Kubernetes world. Let’s talk in general about namespace.

In a computing world, a namespace is a set of signs (names) that are used to identify and refer to objects of various kinds. …


Today, I would like to show you, how you can enable the git branches in the bash prompt in less than 4 mins.

We will find the .bashrc file in our home directory.

Q. What is .bashrc?

Ans:- .bashrc is a Bash shell script. It initializes an interactive shell session. You can put any command in that file that you could type at the command prompt. You put commands inside the .bashrc to set up the shell for use in your particular environment, or to customize things to your preferences. A common thing to put inside the .bashrc …


In today’s blog, I am going to show you how to troubleshoot in Jenkins when you forget your username or password.

So, before we move on the issue, I would like to share this with newbie users

What is Jenkins? And, what it is used for?

You can watch the…


In this K8-Series, I’ll be making different Kubernetes #k8s topics such as

K8s-Series Youtube Video By M. Sharma
  • Cluster Management
  • Pods & Container Allocation
  • K8s Object Management
  • K8s Deployments
  • K8s Networking & Services
  • K8s Storage & so on*

This interactive article assumes you have some basic knowledge of Containerization, how to operate with AWS as Cloud Providers (or other cloud providers such as GCP, Azure etc.), how to launch your nodes/servers and have some basic understanding of Linux commands.

Support the author: Mohit Sharma

You can…


After a long delay, I come back again with another article called “Run a serverless code using AWS lambda.”

In this article, you will learn the basics of running code on AWS Lambda without provisioning or managing servers. Let’s start with an intro.

AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code. …


“Data are becoming the new raw material of business.”

Hello friends, today I am going to tell you the way by just seeing the Dataset how would you know which model I have to choose.

So, let’s get started ….!

What is Data-set?

A data set (or data-set) is a collection of data. Most commonly a data set corresponds to the contents of a single database table, or a single statistical data matrix, where every column of the table represents a particular variable, and each row corresponds to a given member of the data set in question.
Let’s see some data-set which is in the form of a .csv file…


In this article, you will learn how to create an automated software release pipeline that deploys a live sample app. You will create the pipeline using AWS CodePipeline, a service that builds, tests, and deploys your code every time there is a code change. You will use your GitHub account, an Amazon Simple Storage Service (S3) bucket, or an AWS CodeCommit repository as the source location for the sample app’s code. You will also use AWS Elastic Beanstalk as the deployment target for the sample app. …


Credit — “turned on flat screen monitor” by Chris Liverani on Unsplash
Credit — “turned on flat screen monitor” by Chris Liverani on Unsplash
Credit: “turned on flat screen monitor” by Chris Liverani on Unsplash

I am back with the seaborn tutorial. Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

Keys Features

  • Seaborn is a statistical plotting library
  • It has beautiful default styles
  • It also is designed to work very well with Pandas dataframe objects.

Installing and getting started

To install the latest release of seaborn, you can use pip:

pip install seaborn

It’s also possible to install the released version using conda:

conda install seaborn

Alternatively, you can use pip to install the development version directly from github:

pip install git+https://github.com/mwaskom/seaborn.git

Another option would be to…

Mohit Sharma

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