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Top 7 Programming Languages For DevOps Engineers In 2024

By Shravan Rajpurohit

September 9, 2024

DevOps is an efficient practice and tool that helps integrate development and IT operations. This effective tool that originated with software development has now spread beyond the field of custom software development to various disciplines.

How Statistics Drive Efficiency in DevOps

Combining two sets of skills such as developers and IT professionals, DevOps works very dedicatedly to improve the quality, speed of delivery, and reliability of any software. Unlike the other development tools, DevOps engineers emphasize the use of lightweight automated tools and processes, avoiding complex tools and processes to increase productivity and responsiveness.

It is a practice that helps streamline customer support, feature development, deployment, testing, and monitoring.

What is Programming Languages For DevOps?

DevOps helps working remotely which brings unique challenges, including the requirement for enhancing automation and self-sufficiency. Additionally, these unique languages allow you to troubleshoot different types of issues remotely and also help to create custom tools without relying on physical access to infrastructure.

It also helps you to collaborate and communicate in your remote team, by creating shared scripts and automation strategies.

1. Java

Java is considered the next-level DevOps programming language that engineers should learn before starting their projects. It works as a general-purpose programming language, which allows developers to implement it easily for different software development.

Engineers can easily integrate Java into existing codebases through DevOps learning. The main feature of this language is that it helps large applications adopt new technologies without the need for entertainment.

By using Java in runtime execution, its execution offers next-level performance. As a result, this language has become the main choice for enterprise application development.

Java tends to offer an easy learning curve due to its object-oriented paradigm. You will get the robust competencies once you complete your learning gained mastery. As a platform-agnostic technology, Java development is designed to follow the “write once, run anywhere” principle.

This programming language is also designed for scalability. Due to its highly scalable feature, it becomes the ideal choice for enterprise-level software development. Now, most of the developer’s community prefers Java as a programming language.

2. Python

It is an incredibly versatile and beginner-friendly language that is used in different DevOps tasks due to its simplicity, straightforwardness, and extensive libraries. 

It is one of the most used languages for web development and data analysis by which users can complete different tasks such as automating the deployment processes, building configuration management tools, or leveraging Python’s data.

• In terms of performance, Python is moderate which is suitable for almost all kinds of tasks. However, it is not suitable for any computationally intensive needs.
• This programming language has a clean and readable syntax that makes it easy to learn for the engineers. This feature also makes Python the best preference for DevOps engineers.
• Being a platform-agnostic technology, this programming language becomes compatible with different platforms like Windows, Linux, and macOS.
• It is moderate in terms of scalability, so it perfectly works for medium-sized projects. However, it has some challenges with large-scale applications.
• Due to the above-mentioned features, Python has a large and active developer community.

3. PHP

As a renowned open-source DevOps scripting language for web development, now, this programming language is preferred by the DevOps engineers to employ PHP to create different web applications. It is also a popular scripting language that is suitable for designing and building static and dynamic websites.

Additionally, PHP development enables users to integrate various strategies such as payment processors, widgets, and social media channels.

• In web development tasks, PHP offers moderate performance and allows the creation of dynamic web pages.
• Due to its simplicity, PHP is easy to learn for DevOps engineers, especially for beginners.
• Like Python and other programming languages, PHP is a platform-agnostic language that needs to be used to fulfill different development needs.
• With careful planning, PHP is suitable for all web apps, even for large projects,
• PHP also owns a large community of developers.

4. JavaScript

As an efficient DevOps scripting language, JavaScript is used by developers designing and creating interactive and dynamic visual effects for apps. So, the application can run on all types of devices such as desktop, mobile, and web apps. This scripting language is suitable for designing and creating web forms and video validation of user input.

Unlike other programming languages, JavaScript has a multi-paradigm style and seems to be complicated for beginners. However, it can be excellent for those who have some experience with other programming languages, such as Python and Java.

• JavaScript also offers moderate performance, especially across browsers, which works great for interactive web apps.
• It has a moderate learning curve; but, constant practice is extremely crucial, especially for web development.
• JavaScript is a vital programming language for browsers that owns the competencies of running on servers while using Node.js.
• Its highly scalable feature makes it suitable for web scalability, particularly for client-side scripting.
• With gargantuan frameworks and resources, this programming language has an immense development community

5. Ruby

If you are involved in automating repetitive tasks in IT environments, Ruby can be one of the most effective scripting languages. It is a dynamic, interpreted programming language that works as an efficient DevOps tool for different tasks such as web development, data science, and unit testing.

With its small learning curve, Ruby is now a fast-growing scripting language in IT nowadays. Due to its simplicity, beginners can easily get started with Ruby without having strong programming experience.

Now, DevOps engineers usually use Ruby to create small web apps, including simple CMS platforms. Additionally, this language can support some complex applications, such as messaging platforms, and e-commerce websites. Not only that, this programming language is also relevant for creating web services and APIs (application programming interfaces).

• Commonly used for scripting and automation tasks, Ruby always offers moderate performance.
• Ruby has the capability to handle different applications, but it requires very careful consideration for scalability.
• As a cross-platform, this programming language is commonly used in web applications.
• As a simple programming language, and with readable code, it is extremely easy to learn, especially for beginners.
• With a strong presence in automation and scripting, Ruby has a moderate-sized community.

6. Golang

Also popular as Go, Golang is a statically typed, compiled language that is able to run on the Google Go programming platform. It is the fastest programming language. So, most DevOps engineers usually design and develop web apps, command-line tools, and desktop applications.

Google created this programming tool as a low-overhead and comparatively high-performance alternative to other languages such as Java or Python. Because it is compiled, Golang apps have faster start-up times.

This programming language perfectly suits large software projects and big data analytics. Go’s Edge allows any programmer to use more runtime optimizations, such as constant folding and dead code elimination, which sets it apart from other languages.

• Go or Golang) usually provide high performance with fast compilation and execution times. So that it becomes ideal for web applications and command-line tools.
• This effective programming language is designed by Google for concurrency and scales well. So, it becomes a great choice for large-scale projects.
• Go is actually a cross-platform, efficient, and lightweight language. It becomes perfect for different environments.
• Go is known for its simplicity and performance-oriented features among users.
• With a rapidly growing community it offers a wealth of resources for developers

7. PERL

PERL facilitates DevOps engineers across a spectrum of tasks such as web development, networking, data analysis, system administration, machine learning, etc.

 Known among engineers for its flexibility, reliability, and cross-platform compatibility, PERL emerges as the premier scripting and programming language in the DevOps domain.

The most standout feature of PERL is its utility in different platforms such as a software framework. Collections of different modules help build complex applications seamlessly. PERL’s frameworks provide the flexibility to incorporate different tools or languages ​​that facilitate building complex systems from various components.

• PERL provides moderate performance that is well suited for text processing and general-purpose scripting efforts.
• Although inherently flexible and versatile, PERL may not be the first choice for engineers in any large-scale projects.
• With its highly cross-platform, this programming language can operate seamlessly across virtually all systems.
• PERL has various language features that can pose moderate challenges to projects. This suggests potential complications.
• Supported by a moderate-sized yet vibrant community, this programming language particularly is used for system administration.

Conclusion

Aspiring DevOps engineers often face a complex decision when choosing the right programming language. It’s important to evaluate several factors to find the best fit for your goals. Start by considering the types of projects you want to work on.

Are you interested in web development, data science, or unit testing? Your project preferences can help steer you towards the most suitable programming languages.

If you need guidance along the way, Contact Us with The Intellify for expert advice and support.

Frequently Asked Questions (FAQ)

1. What’s The Difference Between Programming And Scripting Languages?

The programming language needs to be applicable to write the code that can be run independently. Scripting languages ​​are also used as the main option for writing code that runs within other programs, such as a web browser or server.

2. How Long Does It Take To Learn A New Programming Language?

According to various studies, learning a new programming language usually takes three to six months. Approximately 500 hours depending on programming language speed, language difficulty level, and available learning resources.

3. Which Language Is Used For Devops? What Programming Language Should I Learn For Devops?

 Learn some important programming languages ​​such as Python and shell scripting Automation, DevOps is used. Python, an efficient programming language, has simplicity and extensive libraries, making it suitable for automation scripts. Again shell scripting is essential for working on Unix-based systems. JavaScript works great for web-related DevOps work.

4. Is Python Or Java Better For Devops?

Python is often considered by DevOps engineers as the better option due to its simplicity, versatility, and extensive library support. So, it becomes ideal for automation and scripting tasks. Now, this programming language is widely used for configuration management and orchestration. Java is powerful and effective and has a steeper learning curve. It is more commonly associated with other development domains.

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Written By,

Shravan Rajpurohit

Written By, Shravan Rajpurohit

Shravan Rajpurohit is the Co-Founder & CEO of The Intellify, a leading Custom Software Development company that empowers startups, product development teams, and Fortune 500 companies. With over 10 years of experience in marketing, sales, and customer success, Shravan has been driving digital innovation since 2018, leading a team of 50+ creative professionals. His mission is to bridge the gap between business ideas and reality through advanced tech solutions, aiming to make The Intellify a global leader. He focuses on delivering excellence, solving real-world problems, and pushing the limits of digital transformation.