How Python is Impacting the State of DevOps?
Introduction
DevOps is the combination of operations and software development, which reduces or almost eliminates the disconnect between systems administrators who run the infrastructure and software developers who develop applications.
In order to develop the software, when the Agile methodology is utilized properly, a bottleneck appears quite often during the frequent operations and deployment phases. New fixes and updates are produced rapidly in every sprint that the infrastructure teams can be swamped with deployments. To eliminate few of these issues, the operations personnel and application developers are asked to work closely in order to automate the code delivery to production from deployment.
As DevOps is an approach for handling change and agility, engineers must master multiple languages. The Python programming language is one of the most crucial components of the DevOps toolchain. Many DevOps teams utilize python for building web applications for visualizing custom data, building custom utilities, and more.
As tools such as Ansible are completely written in python, you can build custom ansible modules for automating your tasks. This is not just limited to Ansible, many tools exist that can be written in python. This enables you to create custom scripts in order to work with them.
Reasons for Using Python for DevOps
The accessibility and flexibility of python are the reasons for python being highly preferred for the DevOps toolset. If you are working in the role of DevOps, you must require an adaptable skill set - you must have knowledge of working with multiple languages. For anyone looking to explore new tools and languages, and curious about technology, python language forms a solid foundation for them. Python doesn’t require the commitment levels that a specialist language requires.
The other major reason for python being the most preferred language for devops is that it is a great scripting language, and scripting refers to automation. Few major configuration management tools such as SaltStack and Ansible are written in python underscores. This shows how useful python is when it comes to orchestration and infrastructure automation.
Python and Ruby are compared very often as it’s worth comparing them. Both are highly accessible and utilized in applications developed by many organizations around the world. They also feature in the DevOps toolset. We can do almost all the things Ruby that we do with python. But, when it comes to syntax, python gains upper hand as it is much more direct when compared with the syntax of ruby.
So, when it comes to learning to debug problems and code, python has an advantage over ruby as it takes a much more direct approach to programming. These directness and simplicity are invaluable if you are working in DevOps environment and agility is highly important.
This is not a contest actually but the key point here(whether you work in devops or anywhere else) is to use the best possible tool for the job. After knowing the capability of python and what it can offer in terms of flexibility, accessibility, approach to programming, simplicity, etc, in a range of areas, it is regarded as the best tool for performing the job.
Conclusion
With engineers and developers taking on the responsibilities of decision-making, python can be the stabilizing language. Not only for DevOps, python can also be used for developing blockchain, which is the underlying technology for various cryptocurrencies such as bitcoin wallet. As python can be utilized in various ways, it enables you to be open to a broad range of technical possibilities. Due to the aforementioned features of python, it is evident that it is the go-to programming language for the landscape.
