“Print ‘Hello World!!!‘ ” and you will get “Hello World!!!” this is Python. Developed by “Guido Van Rossum”, in February 1991, Python is an interpreted, interactive and simple programming language.
An open source, cross-platform and object oriented programming combination qualifies it to be a new generation language.
Python is simply known for its simplicity and plethora of modules in python library which makes python distinguishable from other programming language in today’s world.
In simple terms, DevOps can be stated as “Development” and “Operations”. DevOps, as a culture, is a collaboration of application developers and IT professionals. In simple words, it is a set of practices, tools and policies that lead to improve quality and automation.
The DevOps approach seeks to meld application development and deployment into a more streamlined process, shifting some responsibilities of the operation team back to the development team in order to facilitate “Continuous development, integration and delivery”.
Automation is a technique to monitor, control and deliver a solution or system without any manual interventions.
Automation has THREE steps:
DevOps Automation is the new trend that can address the bottlenecks, inefficiencies and the complexities of provisioning. It provides the benefits of shortened development cycles and improved quality by merging development and operations activities and integrating testing between two functions.
Devops Automation creates a flexible development environment that remains in sync with best practices in production. Automation helps developers to minimize their efforts in productive way. It is a best practice to use Automation in day-to-day task.
DevOps with Python
Python is an open source, compatible with most guest operating systems and easy to use language because of which it is one of the most popular languages amongst the developer and DevOps community.
Python provides huge collection of modules and libraries to accomplish any task in fewer lines of code. It eases the tasks of big operations for developers or operations engineers by writing simple and small scripts.
There are various automation languages available for Devops but Python is one the most preferred language because:
- Python supports Object-Oriented programming
- Plethora of modules which provide diverse capabilities (refer Fig (4))
- Maximum correlation with English (human readable) which makes programmer easy to read and write the programs
- It provides “Easy to understand” approach to a learner
- Its strong community driven modules ensures robustness of the language
- It does not require lengthy lines of code to automate certain task
- Being an open source language ensures freedom and flexibility of usage
- Due to its open-source nature, Python is used in similar way on multiple platforms thus making it portable
As far as automation is considered, Python is the first choice to most of the development engineers. Using Python, automation can be performed with minimum efforts. Python is one of the preferred languages for DevOps community developers as well as system admins due to its ease of use, machine level compatibility and efficiency.