Alisson Machado de Menezes - Hands-on DevOps with Linux

My Family and FriendsAlisson Machado de Menezes is an experienced Big Data DevOps Engineer, who for the past ten years has been working in different positions, such as Developer, Operations Analyst, Support Analyst, DevOps Engineer, IT Manager, Technical leader and now diving into Big Data. Has many lectures in Brazil in events like Python Brasil, The Developers Conference, Feira Internacional de Software Livre and for some companies in private. Also gave classes regarding Python Programming, Agile Infrastructure, MongoDB, Openshift, Kubernetes, DevOps and DevSecOps. Has the certifications Linux System Administrator (LPIC-1), Linux Engineer (LPIC-2), Suse Certified Linux Administrator (SUSE CLA), LPIC OT DevOps Tools Engineer, Exin DevOps Professional and Studied English in Canada. In 2019, Alisson moved to Germany starting a new challenge in Europe on the Automotive Marketing to help of Empower mobility for tomorrow, where we are trying to be the pioneers on Electrical Cars.

Outside work, Alisson tries to maintain a blog where he shares some experience on the project which he has been working and when there is time travelling, hiking and try different types of beer.

Leonardo Mendes is currently working as a Software Reliability Engineer and core member of the technology innovation team at Cogna. He focuses on FOSS (Free and Open Source Software) projects. He is passionate about training and worked in projects of Education, coordinating the training team in the delivery of Linux, DevOps, Cloud and Big Data training, also participate in the implementation projects, and teaching the courses about Linux, DevOps, Cloud. He is graduated from Computer Networking and has MBA at Cloud Computing. There are a few people I want to thank for the continued and ongoing support they have given me during the writing of this book.

First and foremost, I would like to thank my family, who educated me, taught me how to be independent and strong. Leonardo Mendes, who was the technical reviewer of this book and is one of my best friends. Gabriela Dias, who was the best leader that I had in these ten years of experience in IT and is a great example of a person for me. Juergen Bohn, the boss who brings me to Germany and opened so many doors and uncountable opportunities in Europe. I could have never completed this book without these people in my life. This book wouldnt have happened if I hadnt had the support from BPB Publications, which gave me the support and attention while I was writing.

Finally, I would like to thank God who gave me the intelligence, strength and all the ways for me to be where I am right now.

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, EdTechs, 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. The primary goal of this book is to provide the information and skills necessary to work in todays market as a DevOps Engineer, giving you the basic overview and steps of the most used technologies, based on my ten years of experience: This chapter introduces you with the the virtualization concept on your local machine aiming for you to create your labs, test your new technologies, simulate environments without crashing anything in production, and for your studying purposes. This chapter explains you about some basic bash commands, because we know that nowadays Linux is not a differential anymore, rather a requirement for those who work with Cloud and High Availability.

Here, we set up some services, like a database and a web server bringing up the most common installation, what we call Lamp (Linux Apache Mysql PHP). Reverse proxy is commonly used when you have just one public IP, and you have different sites running behind a private structure. When you are not using cloud services, like Azure or Amazon, you can either set up your own Nginx and make the load balance, or you can pass your connections to the private servers enforcing the security. Docker is one of the leading technologies of a DevOps engineer stack. Here, we will learn the very basics, but enough for you to create your images and commit them to a registry for a deployment. Vagrant is also one very useful tool for those who are not using Docker yet.