The heart of the DevOps movement is the configuration, deployment and management of the infrastructure that is performed via code. When an organisation defines an infrastructure in the lines of code, most but not all of the automating tasks becomes possible in the datacentre.
Practices of continuous integration or continuous delivery that were not possible in the past are now allowed with advanced levels of automation. The application delivery is made friction-free with continuous integration/continuous delivery workflows. Moreover, there is an automatic deployment of the infrastructure to help test processes that can push an application towards production without any interference. The work of a technologist is no longer in the crucial path for the production application.
So, here are the five most relevant programming language that a DevOp should learn to grow his presence.
Python
An all-purpose language in infrastructure, Python has been utilised in building OpenStack and other cloud infrastructure projects.
Python is an excellent language for teaching programming both at the introductory and advanced levels. There are many choices offered by Python for web development in frameworks such as Pyramid and Django. Moreover, Python is widely used in scientific and numeric computing with a broad range of use cases.
Safari Books Online gives an introduction to Python course at ease. There are also O’Reilly conference videos that include labs and talks to give you a chance to find appealing niches in each language. Also, you can find PyCon conference videos that are easily available on platforms like YouTube to teach you various possible developments through Python.
Ruby
Compared with C++, Ruby is considered to be a higher-level programming language. It is much easier to use when you are learning to code first, though. While Ruby is a language, Ruby on Rails is a framework that uses and depends upon Ruby. Many infrastructure projects utilise Ruby in some ways; for instance, ManageIQ is a Ruby on Rails app.
Peter McGowan’s book titled as Mastering Cloudforms Automation is an efficient resource to practically support Ruby use and helps you understand the constructs inside Ruby.
JavaScript
JavaScript allows you to build interactive websites. With the fast movement of time, the use cases of JavaScript have been extended to mobile app development, desktop app development and game development. Even though JavaScript is implemented in all browsers, the same code does not necessarily behave the same way in different browsers. This means that the code working fine in Firefox may not work smoothly in Chrome. Finding an expert JavaScript mentor would make it easy for the beginners to learn the process easily.
JavaScript is slow but too flexible as a dynamically untyped language. Further, Typescript that is a statically typed version of Javascript is a potential solution to help ease the scalability problems. In terms of community size, JavaScript has overtaken Java and is still growing as new and nifty tools are being invented. On the TIOBE index, JavaScript is the eighth most popular language.
The growth of the ecosystem of JavaScript frameworks and projects continue at surprisingly high pace. You can use the power of the Web to learn JavaScript without paying any single penny.
Go
Introduced in 2009, Go programming language is quite a craze in the market. With over a half a million users and community members all over the world, the language has built software simpler, more reliable and much efficient. The focus of the designers of this language is upon creating a humanly readable statistically typed language that performs well at scale. You can begin with Go programming by visiting its official site golang.org.
C
In the computing world, most of the code is written in C and other languages reuse many of its builds to ease the programming experience. Learning C is important in order to know the fundamental level and to know KVM and QEMU projects.
You can pick Learn C the Hard Way, which is a free online book that gives a no-nonsense approach to coding exercises and provides code examples.
Python is the one of the best language for data mining .Its highly scalable nature can offer best visualization packages…
Very nice list. I also made a video recently talking about 5 important languages for DevOps.
https://youtu.be/c3L8EHAYdhI
Thanks
Nice List of programming Language in DevOps… But Most of the Companies using only Python Language for DevOps…., but this is really good. Thanks for the collection…..
https://www.hopetutors.com/course/devops-training-chennai/
Thanks…..