Top 6 DevOps Programming Languages in 2021
There are a huge number of programming languages in the world, and new ones are constantly appearing. Nevertheless, there are those that are the foundations of the foundations and are used most often because of their advantages. In this article, we will look at the current programming languages used in DevOps. We will talk about the most popular scripting languages and their benefits.
Table of Contents:
Criteria for the Best Programming Languages
There are many programming languages in the world, but not all of them are widely used. Consider the parameters that a perfect one should have.
Software that is developed using a particular tool should not become vulnerable. The key point to look at is security and performance.
2. Variability and Scalability
The needs of users can change, so it is important to have the ability to scale, expand functionality, or speed of performance.
It should have a large number of different coding functions: classes, structures, objects, encapsulation, inheritance, etc.
If in the future you need to transfer the program to another OS, it will work correctly.
In case of any emergencies, language should not become the reason.
The TIOBE Programming Community provides the rating of the most popular languages:
This rating is constantly updated and shows the dynamics of changes in the popularity of the use of coding languages.
1. C ++
Let’s start with C ++ which is a pretty old coding language. Nevertheless, many developers around the world choose it for the reasons of stability and security. C programming perfectly fits the DevOps criteria. Features like inheritance, classes, encapsulation, structures, and objects are all in C / C ++. Although, many people note that it is quite difficult to learn. However, if you become a master of c++, other technologies will be much easier to acquire. Despite all the advantages of C / C ++, there are several disadvantages. It is impossible not to mention them, as they can influence your choice. The compilation time of C / C ++ is longer than Go or Ruby has. In addition, difficulties in interacting with binaries are noted.
Java is considered to be one of the best options for DevOps development. Let’s see why it is so popular. According to Alpacked, one of the main characteristics of Java is stability. Java code can be written once and run on any machine. Despite this, the content and stability will not change. Here are some examples of using Java:
- Google apps for Android
- Amazon is actively using Java for enterprise applications
- LMAX – an international fintech company uses Java to conduct transactions on the exchange with minimal delays
- the most popular language according to the Cloud Foundry Foundation (CFF) survey for cloud development
- Another advantage is that Java automatically allocates memory, collects garbage. The same cannot be said about C / C ++, where the developer must write these commands himself.
Python is a fast-growing language that can easily compete with others. It has many advantages that set it apart from others. The main one is of course its simplicity. Python is a high-level technology, so it means that it is easier to learn and understand. It is often very popular in DevOps for this reason. Python is a dynamically typed language. This means writing code is even easier. This point is especially important for beginners in coding. Another nice bonus is that there are no annoying parentheses in Python, which are often forgotten.
There are many IDEs and frameworks available for this Python. Besides, Python is open source and has a lot of documentation that is freely available. This is a great help for developers who want to understand the basic concepts of this language. Python is also often noted when talking about big data and artificial intelligence. Indeed, the scope of this language is quite extensive. It is also used in test scripting and in test automation. As a reminder, automation is one of the key attributes and benefits of DevOps.
4. C #
C # is another leading coding language. It was developed by Microsoft Corporation in 2000. It borrowed a lot from its predecessors, the C ++ and Java. C # uses OOP programming. C # is easy to scale, combined with libraries such as .NET. This flexibility of use is clearly in line with DevOps standards. In addition, it has a large number of libraries to make life easier for software developers. Instead of thinking about how to implement some kind of algorithm, you can use it from a ready-made extensive library. It is great for writing web applications. However, it received the widest distribution in the development of 2D and 3D games.
Scala is similar to Java, so it should be easy for those with Java programming skills to learn. Its programs are free to interact with Java code. Developers of Scala tried to take all the best from Java, abandoning unsuccessful components. So, it is more compact which makes it much easier for developers to work on one project. Another plus is that you can import Java libraries and classes into your Scala application. Scala is great for highly scalable parallel systems because it provides built-in support and features to improve code efficiency. One of the features of Scala is that it runs in a Java virtual machine, which of course makes maintenance more difficult. However, it is still considered a worthy successor to Java. Scala’s main application as an enterprise language is in the development of enterprise applications. For example, it is used by services such as LinkedIn and Twitter.
Ruby is also popular in DevOps programming. It is a dynamic coding language and is open source. If you are familiar with Python, then you will already know a lot. Ruby is an OOP coding language. It has many modules and software functions. Ruby focuses on multithreading and strong dynamic typing. Ruby is often chosen by DevOps because of its many object-oriented design capabilities. Ruby’s built-in modules make development cheaper without rewriting code.
Its full name is a structured query language, it is a declarative programming language that is used to create and manipulate data in relational databases. With its help, you can describe, retrieve, modify data that is stored in relational databases. The task of SQL is to provide the user with the ability to work with the database: changing and adding records, changing the structure of tables, selecting records by condition, etc. Over time, the language has become more than just a way to work with tables. However, to this day it remains the most popular tool for organizing interaction with databases. It is common in DevOps and for example, it can be used to store and process relational data. The main areas of application of SQL are in the development of databases for the functioning of the software, in testing, both manual and automated, by network administrators to monitor the health of the environment.
In DevOps development, it is more important than anywhere else to use optimal programming languages. Safety, speed, the efficiency of execution – all these are the main criteria of DevOps programming. Recently, you can see the trend of developing more and more programming languages. For example, Kotlin (often used to develop Android applications), developed by JetBrains in 2011. And this is just one example. Of course, developers should definitely stay on top of the most popular languages and their benefits. Some companies prefer DevOps as a service (DaaS) approach. This way developers focus on their main work and choose the best coding languages.