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The Linux DevOps Handbook

The Linux DevOps Handbook

By : Damian Wojsław, Grzegorz Adamowicz
4.7 (7)
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The Linux DevOps Handbook

The Linux DevOps Handbook

4.7 (7)
By: Damian Wojsław, Grzegorz Adamowicz

Overview of this book

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.
Table of Contents (20 chapters)
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1
Part 1: Linux Basics
6
Part 2: Your Day-to-Day DevOps Tools
12
Part 3: DevOps Cloud Toolkit

Backing up a database

In terms of most common databases, such as MySQL and PostgreSQL, there are at least two different ways to back up a database:

  • Take a database dump by extracting all current data, along with the database schema
  • Copy replication logs

In cloud environments, you can also take a snapshot of the disk database where the backup is being saved.

A database dump can also be used as a full backup. Replication logs aren’t self-sufficient database dumps, so you will need to combine them with a full backup. This is called an incremental backup.

Doing a full backup can take a long time, especially for big databases. While it’s running, the database puts a lock on its data files, so it doesn’t save new data on the disk; instead, it stores everything in the replication logs until the database lock is released. For large databases, this operation can take hours. Because of that, we will be creating a full backup once a week and copying...

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