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• Admin
• 18 Aug 2019

Python is an object oriented ,interpreted and a high level programming language . It was initially designed by Guido van Rossum in 1991 and developed by Python Software Foundation. Python is a simple language and its syntax is easy to use.Python reduces the program maintenance cost..It is an interpreted language.Python consists of hundreds of libraries that can be freely distributed.Python uses the concept of modules and packages which focuses on program modularity and code reuse. Python is a programming language that lets you work quickly and integrate systems more efficiently.

Python can be used in Webdevelopment,Software Development, Mathematics and System Scripting.

Python’s syntax is very simple.It is similar to English language,so users can easily understand the syntax and the semantics of the language.

Python’s code can be reused,thereby allowing the programmers to write programs with fewer lines.

Python works well on multiple operating systems.

DevOps helps to automate the work that happens between software development and the teams involved in information technology so that they can build, test and release a more reliable software with an incredible amount of speed.

DevOps has the combined features of philosophies, tools and practices that increases the organization’s ability to deliver their applications and services at high speed.The speed at which DevOps delivers products helps to serve the customers better and helps the organisation compete much more effectively in the market.

In DevOps the development and operations are combined into a single team where the team work across the application lifecycle beginning from development of an application to the test and the deployment.Sometimes the quality assurance and security also gets integrated with the development and operations.DevOps tools help engineers to independently accomplish tasks.With the traditional methodology ,working around the life cycle would require help from other people.

Benefits of DevOps would include-

The DevOps model helps the developers and the operations teams to work at a higher speed and deliver the products to the customers.

As the frequency of releasing new features and fixing the bugs is increased there is a higher chance of responding to the customers as soon as possible thereby responding to the customers needs as soon as possible and thereby building a competitive advantage.The two practices that automate the software release process are “Continuous Integration and Continuous Delivery starting from building the application to the deploying the application.

Since DevOps helps to ensure the quality of application updates and infrastructure changes one can reliably deliver the application at a more rapid pace while still giving the end users a positive experience.

Because of the automation and consistency one can manage complex and changing systems efficiently with reduced risk.

DevOps model emphasizes on values such as ownership and accountability.Developers and Operations teams work closely and share many responsibilities.This reduces any inefficiencies and thereby saves time

Why do companies have to adapt DevOps?

Software and the Internet are the two keywords that have transformed the world and its industries right from shopping to entertainment to banking.In the olden days software was just one component that was used to support a business but now software has become a core component in every business.Companies interact with their customers online using several applications.Businesses use software in every aspect such as logistics,communications and operations.Now it is also important how the businesses build and deliver their software at a very high speed.This is where DevOps comes into picture.

Python is one of the technologies that are used in DevOps.Python’ssimplicity ,flexibility and accessibility makes python one of the best technology that can be used for DevOps.This enables the entire team to build web applications,data visualizations and also to improve their work flows.

Since DevOps is associated with automation,Python has a lot of libraries that would help with automation.

Here are some useful modules in python to write automation scripts.

Gitapi is a python module which interacts with our version control system, so if you want to set properties or some useful functions dynamically you can write a python script using this module.

For Continuous integration we need to add some scripts to perform some of the jobs. If we write those scripts in bash or PowerShell then we will face a problem when our CI environment is changed. So we can use python to so that we can move our environments.

These environment-specific or Operating system-specific details and methods are handled using os and subprocess modules.Python comes with some networking modules as well

There is a module called boto sdk module for AWS, for Google Cloud Platform (GCP) we havegoogle-cloud-storage sdk.

The OpenStack module is used to deal with all operations in public/private clouds of OpenStack.

Python is one of the best scripting languages . The innumerable availability of python libraries allows you to write scripts that could communicate with system internals, manipulate files, strings, manage networks and much more. Once one masters python, one can write automation scripts in a well-structured way. Now a daysevery Linux systems today comes bundled with python.

Many DevOps teams use python for building custom utilities, web apps for custom data visualization and more. The main reason is, it’s easy to learn and you can develop utilities in days rather than months.

Tools like ansible are purely written in python. You can develop custom ansible modules for your automation tasks. Also, it is not limited to just Ansible, there are many tools written in python that lets you create custom scripts to work with them better.

The way Information technology is today it was never like this before.Most of the sysadmin tasks are getting automated using tools and scripting languages,out of which most of them include configuration management tools like chef, puppet, Ansibleetc and scripting languages like shell scripting, python, ruby etc.

Also, the way people and teams worked have changed drastically in recent years with the advent of new philosophies such as DevOps and methodologies like Agile.

Hence Python can be used to automate many of the manual tasks.