As for the present IT market, the DevOps
domain is one of the simplest options for IT folks’ salary and career growth.
One common question I buy very often is, “How to become a DevOps engineer?”
In this blog, I will be able to attempt to
answer this with my very own experiences in practicing DevOps in several
organizations.
Towards the top of the article, I even have
added the various teams a DevOps engineer is often a part of.
Many people argue (including me) that there's
nothing sort of a “DevOps Engineer” or a “ DevOps Team “ because it's not a
thing. However, everyone within the industry now got won't to the term “DevOps
engineer, “ and as long as you understand the DevOps philosophy, these titles
don’t matter much.
There are many misconceptions about what
DevOps means. One such misconception is “Automation is DevOps.” Developing
skills associated with automation isn't enough to become a DevOps Engineer.
You must understand the very fact that DevOps
isn't specific to developers or system engineers. It’s for anyone hooked into
evolving practices, technologies, and willing to figure during a collaborative
environment where everything is automated to form everyone’s life very easily.
This article will explain how you ought to
prepare yourself for tools and technologies to become a DevOps engineer who
practices the DevOps philosophy.
Understand the Linux booting process
Install and Configure web servers (Apache,
Nginx, Tomcat, etc..) and find out how web servers work.
Learn how Linux processes work.
Learn how SSH works.
Learn about different file systems.
Learn how volumes add Linux.
Learn about system logging, monitoring, and
troubleshooting.
Learn about important protocols (SSL, TLS,
TCP, UDP, FTP, SFTP, SCP, SSH)
Learn to manage services and check out to
make a service on your own (Initd, Systemd)
Host static/Dynamic websites on web servers.
Setup Load balancers and Reverse Proxys
(Nginx, HA proxy, etc)
Break something and learn to troubleshoot.
The tools and processes involved in DevOps
aren't limited to what's mentioned during this article. However, these are
commonly used open-source tools and technologies you'll start with to become a
DevOps engineer.
Also Read: Unknown Challenges of Machine Learning in Big Data Analytics
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