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

Summary

In this chapter, we covered the differences between monitoring, tracing, and logging. Monitoring is the process of observing and collecting data on a system to ensure it’s running correctly. Tracing is the process of tracking requests as they flow through a system to identify performance issues. Logging is the process of recording events and errors in a system for later analysis.

We also discussed cloud solutions for monitoring, logging, and tracing in Azure, GCP, and AWS. For Azure, we mentioned Azure Monitor for monitoring and Azure Application Insights for tracing. For AWS, we mentioned CloudWatch for monitoring and logging, and X-Ray for tracing.

We then went on to explain and provide an example of configuring the AWS CloudWatch agent on an EC2 instance. We also introduced AWS X-Ray with a code example to show how it can be used to trace requests in a distributed system.

Finally, we named some open source and SaaS solutions for monitoring, logging, and tracing...