Book Image

The Linux DevOps Handbook

By : Damian Wojsław, Grzegorz Adamowicz
3.5 (2)
Book Image

The Linux DevOps Handbook

3.5 (2)
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)
1
Part 1: Linux Basics
6
Part 2: Your Day-to-Day DevOps Tools
12
Part 3: DevOps Cloud Toolkit

Log and metrics retention

Data retention refers to the practice of retaining data, or keeping data stored for a certain period of time. This can involve storing data on servers, hard drives, or other storage devices. The purpose of data retention is to ensure that data is available for future use or analysis.

Data retention policies are often developed by organizations to determine how long specific types of data should be retained. These policies may be driven by regulatory requirements, legal obligations, or business needs. For example, some regulations may require financial institutions to retain transaction data for a certain number of years, while businesses may choose to retain customer data for marketing or analytics purposes.

Data retention policies typically include guidelines for how data should be stored, how long it should be retained, and when it should be deleted. Effective data retention policies can help organizations to manage their data more efficiently, reduce...