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Programming Languages Used in DevOps


DevOps is an emerging IT technology that stands for Development and Operations. This role is created specifically to improve coordination between the Development team and Operations team in an organization. To facilitate this, a DevOps team includes various members like Engineers, Operational Engineers, Architects, Software Developers, etc.

All these positions require excellent skills in Coding, Scripting, Cloud databases, and even concepts of Operations. While organizations don’t ask DevOps candidates to possess all of these skills, knowledge of programming and scripting languages is considered mandatory. These programming languages also make an essential component in the DevOps Engineer Training curriculum. Programming helps to fulfill the requirement of automation, which is a key element in DevOps practices.

DevOps candidates with expertise in different programming languages are involved in building, testing, deploying, as well as releasing the software or the application. There are multiple programming languages that are preferred to be used in DevOps. This preference is based on their stability, security, and scalability.

According to reports by, Javascript and CSS/HTML were the most commonly used DevOps programming languages in 2021. Nearly 65% of the developers used Javascript while 56% also relied on HTML/CSS. Some other popular programming languages used in DevOps are Python, SQL, and Java. Here, in this article, we look in detail at some of these popular DevOps languages and why they are preferred over other languages.


Python is the most commonly used programming language and the first one that programmers usually learn. It is used extensively in back-end coding and scripting and is also the best choice in many applications like Big Data, Artificial Intelligence (AI), Machine Learning (ML), and concepts of the Internet of Things (IoT).

Python is one of the most popular programming languages used in DevOps because of the following reasons.

  • An easy to use language, Python is very straightforward, and therefore the programmers don’t face much difficulty while learning it.
  • Programming language Python comes with many standard libraries and also has a vast library in itself. So, the programmers don’t have to rewrite codes as they are all available in the library. This is one of the reasons Python is highly preferred by programmers.
  • The work of a DevOps engineer is to introduce automation and reduce the reliance on manual processes. With python, it becomes easier to automate as it assists in CI/ CD implementation and configuration management too.


JavaScript is a highly preferred scripting language that can be used for the client-side and server-side in many web-based applications. Though Python is more flexible than JavaScript, JS also adds some additional values, as mentioned below.

  • It is an easy-to-use interface that offers quick feedback and reduced interaction.
  • There are a number of popular libraries that are written using JavaScript like Node.js and React.
  • JavaScript has a large following, so the JavaScript community can help you with the coding troubles, if you face any.


  • Ruby is a language similar to Python and has many modules written by the programmers and contributors during the development of the language. So here also programmers do not need to rewrite the code.
  • It is one of the best choices for DevOps because of its great feature of Object-Oriented Design (OOD).
  • Ruby also offers an additional flexibility as you can make as many edits as are required.


Perl is a general-purpose, high-level, and dynamic programming language. It is used for text interpretation & processing, web applications, GUI development, and used with popular databases. It is a valuable add-on to DevOps because of the following reasons.

  • Perl is a highly versatile language. It can be used for simple to complex tasks and in small to large projects.
  • It is great for cross-platform functionality and thus is a valuable add-on to DevOps.


SQL (pronounced as Sequel) refers to Structured Query Language and is used for query, modification, and storage of data in backend relational databases. It is the most popular and commonly used database language.

  • SQL is used in DevOps because of its container support for continuous integration and deployment. It supports many operating systems like Linux, UNIX, Windows, and MacOs.
  • Also, it is very simple to learn and supports and executes the building, testing, deploying and release stages of DevOps.


GO was introduced into the market around the same time when the concept of DevOps started to make rounds. It is one of the best choices for DevOps.

  • GO and DevOps are highly compatible as both have been developed based on a similar concept.
  • It introduces lean methods and more network-efficient runtimes.
  • Merging GO with DevOps enhances performance and performance portability.
  • It is ideal for developing applications with minimal dependencies.


Java is one of the most popular programming languages that is often used in website programming and other applications. Based on the Object-Oriented Programming (OOP) concept, it is one of the few languages which students learn when they start learning to program. It is also an ideal language for DevOps because of the following reasons.

  • Java has the ability to be operational soon after the completion of coding.
  • It has a versatile nature and that is why it is perfect for platform creation.
  • It reduces interdependencies and works best for mutually inclusive projects.


  • C++ is one of the oldest programming languages but also really stable, secure, and highly efficient.
  • It has inherent features like Encapsulation, Polymorphism, Inheritance, Object, Class, and Abstraction.
  • It is the bottom ranking choice for DevOps as applications produced by C/C++ are not portable in most capacities.

There are many other languages that DevOps people can use in addition to those mentioned above. As the IT sector progresses, more and more languages are being added, many of them being customized only for the purpose of DevOps applications. However, some languages are meant specifically for a particular DevOps role. Therefore, to better your career prospects, it is advised to master more than one language.

Online learning platforms like Simplilearn, Coursera, Udemy, etc. have been offering online sessions on such languages and also for overall DevOps learning. Therefore, explore them and become a DevOps master to boost your career ahead.

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