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Books I have read and recommend

In no particular order

• G. Kim, J. Humble, P. Debois, J. Willis The DevOps Handbook
  

  My notes from this book
  It is difficult to read at times. It has a lot of repetition. But this book is the actual definition of DevOps. If Viktor Farcic from DevOps Paradox asked me "What is DevOps?" I would just read him this entire book.

• Jeff Geerling Ansible for DevOps

  Jeff has a lot of practice about explaining Raspberry Pi things through his YouTube channel. It seems that he also has is a great book writer. If you want to learn Ansible, this book is more than enough.

• Vladimir Khorikov Unit Testing Principles, Practices, and Patterns

  When Bob's Clean Architecture is very theoretical, this book is a perfect companion to put it into practice. Despite the title, through unit tests implementation, the book enforces us to create a clean architecture.

• Robert C. Martin Clean Architecture

  The basics of software architecture. Without this knowledge, don't call yourself a senior.

• Yevgeniy Brikman Terraform: Up & Running

  A very good complementary lecture by the same author: https://www.youtube.com/watch?v=RTEgE2lcyk4 open_in_new
  It explains Terraform and best practices in simple terms. I read the book three times and each time I learned something new.

• Scott Young Ultralearning
• Cal Newport Deep Work

  My notes from this book

• Eric Ries The Lean Startup

  How to do startup? Start with this book. This is the origin of incremental development known from Agile, Scrum and DevOps.

• Gene Kim The Phoenix Project

  If The DevOps Handbook is too difficult, this book is a good start.

• Peter Thiel Zero to One

  Thiel is know for his different approach to things. And after this book you will change your perspective about business and startups.

• Cal Newport So Good They Can't Ignore You
• Nigel Poulton The Kubernetes Book

  I read some part of some previous edition of this book and it was difficult to continue. But after trying the 2023 release, I didn't understand how people can say that Kubernetes is hard.

• Martin Kleppmann Designing Data-Intensive Applications

  The title suggests many things. Is this book about databases? Is this book about data science? It covers much more: types of databases, database logs, queues, timing, clustering. After reading it I can say that 4.9/5 stars is a very reasonable rating.