The Linux DevOps Handbook: Customize and scale your Linux distributions to accelerate your DevOps workflow 263517

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Key Features
  • Master Linux basics, the command line, and shell scripting
  • Become a DevOps expert by mastering Docker, Git, monitoring, automation, and CI/CD
  • Implement networking, manage services, and leverage Infrastructure as Code (IaC)
  • Purchase of the print or Kindle book includes a free PDF eBook
Book Description
The Linux DevOps Handbook is a comprehensive resource that caters to both novice and experienced professionals, ensuring a strong foundation in Linux. This book will help you understand how Linux serves as a cornerstone of DevOps, offering the flexibility, stability, and scalability essential for modern software development and operations.
You’ll begin by covering Linux distributions, intermediate Linux concepts, and shell scripting to get to grips with automating tasks and streamlining workflows. You’ll then progress to mastering essential day-to-day tools for DevOps tasks. As you learn networking in Linux, you’ll be equipped with connection establishment and troubleshooting skills. You’ll also learn how to use Git for collaboration and efficient code management.
The book guides you through Docker concepts for optimizing your DevOps workflows and moves on to advanced DevOps practices, such as monitoring, tracing, and distributed logging. You’ll work with Terraform and GitHub to implement continuous integration (CI)/continuous deployment (CD) pipelines and employ Atlantis for automated software delivery. Additionally, you’ll identify common DevOps pitfalls and strategies to avoid them.
By the end of this book, you’ll have built a solid foundation in Linux fundamentals, practical tools, and advanced practices, all contributing to your enhanced Linux skills and successful DevOps implementation.
What you will learn
  • Understand how to manage infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Atlantis
  • Automate repetitive tasks using Ansible and Bash scripting
  • Set up logging and monitoring solutions to maintain and troubleshoot your infrastructure
  • Identify and understand how to avoid common DevOps pitfalls
  • Automate tasks and streamline workflows using Linux and shell scripting
  • Optimize DevOps workflows using Docker
Who this book is for
This book is for DevOps Engineers looking to extend their Linux and DevOps skills as well as System Administrators responsible for managing Linux servers, who want to adopt DevOps practices to streamline their operations.You’ll also find this book useful if you want to build your skills and knowledge to work with public cloud technologies, especially AWS, to build and manage scalable and reliable systems.
About the Author
Damian Wojslaw has been working in the IT industry since 2001. He specializes in administration and troubleshooting of Linux servers. Being a system operator and support engineer he has found DevOps philosophy a natural evolution of the way sysops work with developers and other members of the software team.
Grzegorz Adamowicz has been working in the IT industry since 2006 in a number of positions, including Systems Administrator, Backend Developer (PHP, Python), Systems Architect and Site Reliability Engineer. Professionally was focused on building tools and automations inside projects he is involved in. He's also engaged with the professional community by organizing events like conferences and workshops. Grzegorz worked in many industries including Oil & Gas, Hotel, Fintech, DeFI, Automotive, Space and many more.


Table of Contents
  1. Choosing the Right Linux Distribution
  2. Command-Line Basics
  3. Intermediate Linux
  4. Automating with Shell Scripts
  5. Managing Services in Linux
  6. Networking in Linux
  7. Git, Your Doorway to DevOps
  8. Docker Basics
  9. A Deep Dive into Docker
  10. Monitoring, Tracing, and Distributed Logging
  11. Using Ansible for Configuration as Code
  12. Leveraging Infrastructure as Code
  13. CI/CD with Terraform, GitHub, and Atlantis
  14. Avoiding Pitfalls in DevOps



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