Python is a popular and highly demanded programming language in the modern market environment due to its accessibility, flexibility and open source. That’s why it is the main language for DevOps engineers since their task is to automate as many processes as possible and control the deployment phase. In this article, we expanded on how DevOps engineers work with Python and explained the advantages of this union.
DevOps: General Description and Its Importance
DevOps (Development Operations) is a methodology aimed at increasing the frequency of releases and speeding up the software development processes.
DevOps specialists ensure the full interaction between the developers and operations managers. They synchronize all the stages of product development, control the work of the developers and operations teams, automate all possible processes and increase deployment frequency.
This profession requires a lot of experience since an efficient DevOps engineer has to be skillful in several areas: development, quality assurance and management. The minimum requirements for a DevOps specialist are: OS administration experience (Windows and Linux), experience with automation tools such as OverOps and Raygun, knowledge of coding, testing and cloud platforms.
As you can see, DevOps engineer is not only an expert in a technical part of the development process but also a professional communicator that strives for better cooperation with the teams and clients.
Python and DevOps: How Do They Work Together and Boost Business?
To ensure that all processes are working smoothly, DevOps engineers should possess a high-level understanding of software development lifecycle as well as the basic knowledge of any demanded programming language.
Python is an indispensable programming language for DevOps since it simplifies the process of development and automation due to its flexibility and accessibility. Below we listed several reasons for choosing Python for DevOps:
- Python is relatively easy to learn. Due to its mild learning curve, even the beginner can master the basics rather fast and perform certain tasks. A huge Python community and lots of libraries may solve almost any issue, especially if you’re on a deadline and your site is down.
- A lot of DevOps tools are written in Python. Since a big part of the DevOps engineer’s work is automation, it is important to have the tools which make this process faster and more efficient. Such tools for DevOps as Saltstack and Ansible are written in Python, and they make infrastructure automation and management much easier.
- Python is accessible and flexible. These features make Python perfectly suitable for DevOps. Moreover, since Python is a scripting language, it can be implemented for various tasks such as web development, automation and testing. As a result, the client gets a top-notch and accessible product tailored to business needs.
- Changes are easy to implement with Python. Changes in techniques and market are an inevitable part of the development, so it is important to be up to date, implement and adapt all changes as fast as possible. Python provides a large amount of new tools, technologies and frameworks so it’s much easier to develop top-notch products which enable clients to stay ahead of their competitors.
Scale Up Your Business with DevOps and Python!
The involvement of DevOps engineers is essential during all stages of the software development. They provide full-fledged cooperation between the developers and operations teams, automate processes, increase deployment frequency and control the release of top-notch products. DevOps and Python are a perfect match as this union aims at simplifying the process of development and providing a stable and accessible product, making it a perfect solution to scale up your business!