There are many programming languages, but I would recommend starting with Python. Python is widely used, easy to learn and used for many different use cases, especially in DevOps. And the good thing is, programming concepts stay the same, so when you learn one language well, you can easily learn new ones quite quickly.

So any other DevOps tools you may come across – and there are hundreds of them – are simply optimizing or improving different parts of this workflow. So monitoring and observability tools go under your DevOps toolbelt as well. And connecting all these pieces together and kind of the heart of the DevOps processes is CI CD pipelines.

DevSecOps, shifting security left

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As a DevOps professional, sometimes I forget how it is getting into DevOps from the perspective of a beginner. So I wanted to create this article outlining a path I would take, if I was starting from zero again. 0️⃣ And having the knowledge that I have now, what would be the most efficient path to get there. DEV Community — A constructive and inclusive social network for software developers. The last honorable mention of a background going into DevOps is network engineering. This is probably the farthest from DevOps compared to the other three that I just mentioned, but you still have some skills that you can bring into DevOps as a network engineer.

– Cloud, Docker, Kubernetes

So you have a more difficult entry, but it is possible if you know what to learn. After learning the prerequisites, you can already get started with important DevOps skills of working with containers and container orchestration tools. So basically learning Docker and Kubernetes to help your teams deploy and efficiently run the application. Kubernetes itself is a very complex tool, so it may take some time to master it and make it production ready. With networking and virtual networking knowledge you have an advantage to understand networking in virtual machines and containers, which is a big part of how modern applications are running. So if you’re completely new to IT and already know you want to eventually become a DevOps engineer, then you should start by understanding the complete software development life cycle first.

But to be able to deliver the application changes, of course you need to understand how that application was built, developed and how it works. Now again we are humans and we can assume that even with the most cautious measures and a lot of extensive testing, we can’t always 100% test every single aspect of the deployment and some issue may slip through in the production. 🤷🏻‍♂️ That’s why we have bugs in production and that’s okay as long as we have a plan for handling a bug or issue when it appears in production. So knowing any CI/CD tools like Jenkins, Gitlab CI/CD, GitHub Actions, Circle CI and so on. And most importantly how to integrate this tool with all other technologies to test things, deploy the code and so on is very important. I am not someone from the IT industry, though I do know quite a bit about computers.

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As a network engineer you know how to configure devices and networking between devices. So you have valuable knowledge in configuring networking for infrastructure on premise. Some examples would be writing a shell script to do a task in a Jenkins job in a CI/CD pipeline or writing a small utility script for flushing the cache, starting the builds and deployments, connecting different tools etc.

In dynamic testing, also called black-box testing, software is tested without knowing its inner functions. In DevSecOps this practice may be referred to as dynamic application security testing (DAST) or penetration testing. The goal is early detection of defects including cross-site scripting and SQL injection vulnerabilities. Threat types are published by the open web application security project, e.g. its TOP10,[22] and by other bodies. DevOps is a shared philosophy in which development and operations teams work together. The practice promotes better communication and collaboration between those two teams, as well as other teams in an organization, such as security.

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And again, all these tools can be used either on premise or on cloud. 2.3 – Container Orchestration with Kubernetes
And for projects with tens or hundreds of Docker containers you need to know how to work with container orchestration platforms like Kubernetes, which is the most popular one nowadays.

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