دانلود کتاب دست به توسعه DevOps با لینوکس

DevOps was the most searched word in 2017. In my perspective, we can consider some revolution in IT when we stop creating boundaries among IT teams and start collaborating and working together, aiming for a common objective. Apart from that, we have all the technical stuff which are included in the DevOps mindset, using automation to speed up the time to market and delivery faster, high-quality software and services. I came into DevOps because of my curiosity regarding everything in IT. I started when I was a teenager, studying cybersecurity, because I wanted to be a Hacker, like all geeks when they start with IT. Then I studied operating systems, computer programming, databases, network, security, etc. These terms prepareded me when DevOps came into the picture. Today, the DevOps engineers must possess all these skills. In my daily work, for example, I have to create scripts to automate the cloud servers installation, which can be done in many different ways. Mostly, I use Python for my automation when it is something very specific. For more generic scenarios, I use Ansible. I use Jenkins for scheduling automation, creating pipelines, and many other tools. I also wrote some other courses when I was living in Brazil, which included MongoDB, DevSecOps, Python Development, Docker and OpenShift, and Agile Infrastructure. In the ten years working there, I worked in different companies, in different scenarios, like web hosting, e-commerce development, open-source consultant, EdTech’s, and payment gateways. Today, my position is Big Data DevOps Engineer, wherein I apply my DevOps knowledge about automation into a Big Data scenario, to create pipelines, and automation to create data lakes, data pipelines, automating governance rules, etc.