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Python is an open-source programming language with immense library support. Some of the features and modules can be used for development in other platforms like Java, C#, etc. In this article, we will learn how Python is used for DevOps and the reasons behind it. The following concepts are covered in this article:
Python serves as the remedy to any problem in the IT industry. When it comes to DevOps, the main focus or the ultimate goal is to reduce the time taken in the DevOps life cycle to improve efficiency. Python offers a structural solution in terms of automating the tasks in each of the stages in the DevOps life cycle. Considering the out-of-the-box features python comes with, let us take a look at how Python is one of the best suitable options to work with DevOps.
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The ultimate goal with DevOps is to automate each task in the development life cycle to save time. With python modules and libraries we can do automation using the tools and scripts written in python.
A python automation script is platform-independent and supports multi-tool integration, which makes python a better seeming option.
When we look at the chronology of the support and the kind of efficiency that python gives for DevOps. We can clearly see that it handles the complete life-cycle starting from the development cycle to the monitoring cycle. Enroll in Edureka’s DevOps Certification Course to master the in-depth knowledge of various DevOps tools like Git, Jenkins, Docker, Ansible, Puppet, Kubernetes and Nagios.
This brings us to the end of this article where we have learned how we use Python for DevOps. I hope you are clear with all that has been shared with you in this tutorial.
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