Alright, as you are here I am assuming that you are either interested in becoming a DevOps professional or you are already a DevOps engineer and want to grow in your DevOps career. Let us discuss what it takes to be a DevOps professional. DevOps careers usually have a following job title Junior/Associate/Senior DevOps Engineer or Site Reliability Engineer or Staff Software Engineer Devops or sometimes titles related to Application Infrastructure. In order to get into the above titles of DevOps, it is essential that you have some good working experience as either a Systems Administrator or Systems Engineer or Cloud Engineer or other related titles. You should have a proper understanding of some topic which are essential in order to crack and interview or to start your career in DevOps and the topics are software development, networking, computer architecture and cloud computing.
Let me list out the technologies first before I give a brief introduction to each of them. Below technologies are some of the important technologies and practices which are preferred to learn and have good experience before getting into DevOps career. This will also give an idea to the DevOps professionals where they need to concentrate inorder for them to grow in their career.
Let’s talk briefly about each technology now. These are the must know (not always but preferred) technologies required to be learned for any DevOps engineer.
(e.g., bash, Python)
(OS/ file systems/ administration/ networking)
(e.g., Bash, Powershell)
(e.g., Agile/Waterfall methodologies)
(e.g., OSI Model, HTTP, HTTPS, )
(e.g., GitHub, GitLab)
(e.g., Apache HTTP, Nginx, Apache Tomcat, NodeJS, IIS, Lighttpd)
(e.g., Gradle, Maven, PyBuilder, Ant, NAnt)
Some applications need to be made executable applications from their source code before they can run properly, so in order to make them executable they need to be built first and the build tools help in automating the building process. The building process makes the code into an executable form by the following certain activities such as compiling, linking, packaging the code.
(e.g., MySQL, MongoDB)
(e.g., kubernetes, docker swarm)
(e.g., Prometheus & Grafana)
(e.g., Chef, ansible, puppet)
(e.g., Jenkins, GitLab )
The above mentioned technologies and tools are the most common ones and there are a lot more out there that are ever changing and highly useful, depending on the application development, usage and pricing.
I will be discussing every technology in detail in my upcoming posts. Keep an eye out for the new posts!
If this article helped you understand in a better way and if you would like to add more to this article, please feel free to comment below with suggestions.
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