In the world of DevOps, two programming languages are often pitted against each other: Golang and Python. Both languages have their own strengths and weaknesses, and choosing the right one for your DevOps needs can be a tough decision. In this blog post, we will take a closer look at Golang and Python, and compare their capabilities in the DevOps landscape.


Golang is a language that has gained immense popularity in recent years, especially in the field of DevOps. One of the key reasons behind its success is its simplicity, which makes it easier to learn and use. The language was designed to be fast, efficient, and reliable, with a focus on minimizing dependencies and maximizing performance. Golang’s popularity in the DevOps landscape is due to its ability to build high-performance, networked services and web applications with ease.

Moreover, Golang’s built-in concurrency support makes it an ideal choice for building scalable and distributed systems. Concurrency is the ability of a system to handle multiple requests at the same time, without affecting the performance of the system. With Golang, it’s easy to write code that can handle multiple requests concurrently, without the need for complex code structures. This feature of Golang makes it a great choice for microservices and other distributed systems, where performance and scalability are critical.

Another key feature of Golang is its ability to compile code into machine code, which allows it to run faster and more efficiently than interpreted languages like Python. This makes Golang a great choice for applications that require high throughput and low latency, such as web servers and other networked services. With its fast compilation times and efficient memory usage, Golang is also well-suited for building command-line tools and other system utilities.

In summary, Golang is a powerful and efficient programming language that has gained widespread popularity in the DevOps landscape. Its simplicity, built-in concurrency support, and fast compilation times make it a great choice for building high-performance, distributed systems and microservices. Whether you’re building a web server, a command-line tool, or a complex distributed system, Golang is definitely worth considering as your programming language of choice.


Python, on the other hand, is a versatile programming language that offers a wide range of applications in the DevOps landscape. The language has gained popularity over the years due to its simplicity, readability, and ease of use. Python’s syntax is concise and easy to understand, making it a great choice for beginners who are just starting their programming journey. However, experienced developers also favor Python for its flexibility and ability to handle complex tasks.

Python’s dynamic nature allows for rapid prototyping and testing, making it a popular choice for scripting tasks in DevOps. It has a vast library ecosystem that includes popular frameworks such as Flask, Django, and Pyramid. These frameworks provide pre-built modules for tasks such as web development, database management, and data analysis.

Python’s extensive library ecosystem also makes it a great choice for automation tasks, such as configuration management and deployment. Tools like Ansible, Fabric, and SaltStack are built on Python and allow for easy automation of repetitive tasks, freeing up time for DevOps teams to focus on more critical tasks.

Another advantage of Python is its portability. Python code can run on any platform, including Windows, Mac, and Linux, making it a great choice for cross-platform development. It also has a large and active community that provides support, resources, and packages for developers.

Overall, Python is a popular choice in the DevOps landscape due to its simplicity, flexibility, and versatility. Its extensive library ecosystem, coupled with its ability to handle automation and scripting tasks, makes it an invaluable tool for DevOps teams.


Performance is a critical factor to consider in DevOps when deciding which language to use. In this regard, Golang has an edge over Python because of its faster execution time. Golang is compiled, which means that it is transformed into machine code before execution. This compilation process allows Golang programs to run faster and consume fewer resources, making it an ideal language for building high-performance systems that require low latency and high throughput.

Python, on the other hand, is an interpreted language, which means that it is not compiled before execution. Instead, Python code is executed line by line by the interpreter, which can result in slower execution times. However, Python provides ways to improve its performance by using libraries such as Cython and PyPy. Cython allows developers to write Python code that can be compiled into C code, which can then be executed at a much faster speed. PyPy, on the other hand, is a just-in-time (JIT) compiler for Python, which can significantly speed up the execution of Python programs.

It is worth noting that performance is not the only factor to consider when choosing a language for DevOps. Other factors such as ease of use, readability, and maintainability are also crucial. However, if performance is a primary concern, then Golang might be the better option. Nonetheless, it is important to evaluate each language’s strengths and weaknesses and choose the one that best fits your specific needs.

Pros and Cons

When it comes to comparing the pros and cons of Golang and Python in DevOps, there are a few things to consider beyond just their library ecosystems. Python has been around for much longer than Golang, so it has had more time to establish a vast array of libraries, modules, and frameworks. This makes it an excellent choice for developers who need to build complex applications quickly and efficiently.

Python’s ease of use and readability are also major advantages. Developers can quickly and easily write Python code, making it a popular choice for those who are just starting in the DevOps world. Python’s simple syntax and lack of boilerplate code allow developers to focus on the task at hand, rather than the intricacies of the language itself.

Golang, on the other hand, is a more recent addition to the programming world. However, its simplicity is one of its greatest strengths. Golang’s lack of complexity and boilerplate code make it a great choice for those who want to write clean, maintainable code that is easy to read and understand. This simplicity also makes Golang more reliable, as there are fewer opportunities for bugs and errors to creep in.

Golang’s standard library is another major advantage. It includes a wide range of useful packages for building networked services and web applications, so developers can get started quickly without having to search for and install additional libraries. This can save time and reduce the risk of errors caused by incompatible or poorly documented libraries.

Overall, the choice between Golang and Python in DevOps comes down to the specific requirements of the project at hand. Python’s vast library ecosystem and ease of use make it an excellent choice for building complex applications quickly, while Golang’s simplicity and built-in concurrency support make it a great choice for building high-performance, networked services and web applications. Ultimately, the best language for DevOps will depend on the specific needs of the project, and the preferences and expertise of the development team.

Community Support

The size and activity of a language’s community can be an important factor when considering which language to use for a project. A large community can mean that there are many resources available, including documentation, tutorials, and forums where developers can get help with their questions. It can also mean that there are more libraries and frameworks available for the language, which can make it easier to build complex applications.

Python has a very large and well-established community, with many resources available for developers of all skill levels. The Python Package Index (PyPI) is one of the largest repositories of open-source software libraries in the world, with over 300,000 packages available. There are also many popular web frameworks for Python, such as Django and Flask, which have large communities of their own.

Golang’s community is newer and smaller than Python’s, but it is growing rapidly. The official Golang website has a forum where developers can ask questions and get help, and there are many Golang-related projects on GitHub. The Go community is known for being welcoming and supportive, with a focus on building high-quality, reliable software. As Golang continues to gain popularity, its community is likely to continue growing and becoming more active.

Which is Better?

It’s important to note that both Golang and Python have their own strengths and weaknesses, and it’s not necessarily a matter of one being better than the other. As mentioned before, Golang’s compiled nature and built-in concurrency support make it a great choice for high-performance applications, while Python’s ease of use and vast library ecosystem make it well-suited for rapid development and scripting tasks.

In some cases, it may even be beneficial to use both languages in conjunction with each other. For example, you could use Golang to build the backend of a high-performance web application, while using Python to create automation scripts for deployment and configuration management.

Ultimately, the choice of which language to use depends on your project requirements, team skillset, and personal preference. Both Golang and Python have their place in the DevOps world, and the decision of which to use should be made on a case-by-case basis.

In Summary

Golang and Python are two popular programming languages used in DevOps. Golang is known for its efficiency, high performance, and built-in concurrency support, making it suitable for building networked services and web applications. Python, on the other hand, is known for its ease of use, readability, and vast library ecosystem, which makes it a great choice for scripting and automation tasks.

When it comes to performance, Golang is often faster than Python due to its compiled nature, while Python’s interpreted nature may cause it to be slower. However, Python’s performance can be improved with the use of libraries like Cython and PyPy.

Both Golang and Python have active communities, with Python having a more established and larger community than Golang. The choice between the two ultimately depends on the specific needs of the DevOps task at hand.

By understanding the pros and cons of each language and considering your specific use case, you can choose the best language for your DevOps needs.