If you are a developer, I'm sure you must have heard this phrase: "It works on my machine." It's heartbreaking when our code runs on your machine but behaves undesirable on a friend's machine.

There are multiple reasons for that.

It may happen because of a package error, like when you use a different version of a package and your friend is using an old version, so a feature is not accessible for your friend.

Or may happen due to the operating system. like you have MacOS but your friend has Windows OS, and the library or package you are using may not be present on your friend's operating system. blah blah blah!!

Why Docker?

Lemme give you some practical examples of what docker tries to solve. Surely this is going to blow 🤯 your mind.

Development

Install Postgres, MongoDB, Node.js, run multiple scripts, etc. Oh, wait, you are on macOS? Also, change these configurations. It sounds familiar, naa. Yeah, these are the steps involved in setting up the development environment.

What if I told you that you could do it in one step? Yes, you need to run the docker compose up command. Easy pisy.

It makes the development environment setup so easy.

Deployment

For deploying any project, you need to create a cloud instance, install OS, install libraries, install dependencies, copy binaries, and then run it with these options.

But wait, there is a simple process: just run the container image with options. Deployed 🎉

So now deployment process is no longer complex, docker solves this problem by creating easy-to-use portable containers.

Why Kubernetes?

Now you may ask, if docker solves this problem then, what Kubernetes does?

Imagine you have a web application that has gained popularity rapidly. Initially, running a single instance of your application on a server was sufficient.

However, as user traffic grows, a single server becomes insufficient to handle the load efficiently. Without Kubernetes, scaling your application manually would involve setting up additional servers, configuring load balancing, and managing traffic distribution a complex and time-consuming process.

Kubernetes helps here to automatically provision and remove server instances according to the load. It efficiently manages load balancers, ensures high availability, and seamlessly handles failures

So, I hope you now have the motivation to learn Docker and Kubernetes.

Believe me, it is going to help a lot in your development process. and also give you an edge over the hiring process.

So, buckle up and go through this series to understand better. 🚀

See you soon in the next blog. 👋

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