Python is a popular high-level and general-purpose programming language. It is most often used as a ‘scripting language’ for web applications and programs. Currently it is one of the most widely used languages in the IT industry.
Due to its range of benefits it was obvious for it to be adopted into the workings of the DevOps cycle.
The conventional ways of Operations and Development posed many challenges such as – increasing number of updates and fixes from the Development team. Such pitfalls make the Operations and Development team disconnect from each other in their work and the approach makes their work repetitive, monotonous and tedious.
When DevOps entered, it completed shifted the old ways of the software cycle. It transformed it into a unified bond between Development and Operations teams in a common platform that eliminates the lack of connection and sync. DevOps in wholeness is a culture also known as DevOps Life Cycle that takes help of automation to plan, build, code test, release, operate, deploy and monitor efficiently and easily so that everyone is working for the common goal.
Although many scripting languages are used, Python is most widely and extensively used language.
Python is versatile and programming friendly with vast libraries makes Automation easy and smooth. Hence is has extensive use in DevOps and has become the de facto language for Automation of DevOps
Why Python in DevOps?
- Tools such as Saltstack and Ansible are written in Python this makes it a great scripting language for automation.
- Used for complete Infrastructure Automation and Orchestration, being able to debug and code makes it far ahead of Ruby.
- A very agile programming language and has a direct approach to program along with simplicity.
- Its vast libraries for DevOps toolsets are preferred when compared to others along with ease of access and flexibility.
- Also used in various applications such as Machine Learning, AI, IoT, and Data Science apart from DevOps.
How DevOps Engineers use Python?
Anything can be done in DevOps using Python. Automation is the major area that requires Python in DevOps. Even the CI/CD pipeline is automated with the help of Python.
This is how a DevOps Engineer uses Python,
- Automation of the DevOps Life Cycle Management.
- To automate the configuration management and infrastructure deployment
- To modify, automate and configure the tools used in DevOps
- CI/CD pipeline Automation
- Can be used for automating the small daily checking and monitoring tasks
- Deploy applications automatically
- Making sure that DevOps applications are platform-independent by efficient and simple programming using Python.
- Automate the operational tasks which are repetitive and periodic such as sysadmin.
- Manage and control the infrastructures using Python and other tools.
The vast uses of Python aren’t limited to the above list. Being so versatile and efficient makes it a crucial part of the whole DevOps cycle and overall culture. Stepping into the field of DevOps now you know how a DevOps Engineer uses Python.
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very nice explanation, Thank you.