Python with DevOps: A Small Study

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In this rapidly changing world, every day we see a new technology or a programming language that beats the other technologies or other programming languages, but there has been a programming language that is still unbeatable, and you must have got an idea which programming language we are talking about. It’s Python. Yes, you guessed it right. Python is still one of the fastest, secure, and unbeatable programming languages. That’s why people Hire Python Developers and build awesome Python Applications.

So, being one of the fastest, simple to code, and powerful languages, Python is obviously, quite famous among all the tech people and they always prefer Python when they have to implement a robust backend platform that is impossible to get through.

But, at the same time, DevOps has been in the limelight too. DevOps is not a programming language, not a programming tool or neither a technology. Rather, DevOps is a programming methodology, in which a developer is the operations manager at the same time. In DevOps, the single person is responsible for the development of the project, testing, deployment, and maintaining the CI/CD pipeline of the project. And that becomes the reason why people hire DevOps consultants.

Pros of DevOps

Taking the DevOps route can grant you with a lot of pros, as DevOps route is cost-effective and lesser time-consuming. So, DevOps is chosen by a lot of companies these days. Here are some DevOps pros which you simply can’t ignore!

1 Frequent Update Releases

With DevOps, one can release product updates frequently. Like every alternate days or every week, and the process isn’t even any hard to do so.

2 Cost Minimization

When you follow DevOps, you can simply minimize the development cost as development, testing, and project maintenance all of those tasks are carried out by a single person or a small team which minimizes your project development cost.

3 Better Product Vision in team

DevOps teams are relatively small, and all team members know their responsibility, so they have a clear vision for the project they are working on. And they tend to perform the best when they have a clear goal envisioned for the project.

The main reason why people choose DevOps is to reduce the time taken to develop, deploy, and maintain the project, and Python can do all these very easily. DevOps has been the choice for everyone as it requires just a single person to maintain the project, and make frequent changes in the project whenever required. And DevOps has been there especially for that very reason, to work on the projects that require frequent modifications, changes.

For these reasons, people hire Python Consultants which puts their development work in a fixed and effective methodology, which boosts the development and offers better results.

But what if we combine the fastest, secure programming language with DevOps? Project management would be much easier when you choose Python with DevOps. This combination can entirely change the way of project management. Here are some compelling reasons to choose Python with DevOps and make the best for your project out of it.

Python — Most Loved Language

Python is the most love programming language and no programmer can deny this fact. As Python is easy to program and secure, and also Python scripts are platform-independent, everyone likes it and build their platform on the Python platform. So, it is one of the reasons why should you choose Python with DevOps. 

Python allows structured automation scripts

Python provides us with the facility to write scripts for structured and readable automation. This helps us work with automation scripts easily. It will allow us to eliminate repetitive tasks by automation and reduce the manual work from the project and handle the project with effectiveness!

Know more about Python with Devops, Visit Faun.pub published Python with DevOps: A small Study