Description
Chaos Engineering with Go is your essential guide to building resilient systems. In today's complex distributed environments, ensuring system reliability is paramount. By introducing controlled chaos into your systems, you can identify weaknesses and fortify them before they become critical failures.
This book explores chaos engineering, offering a complete guide to building resilient systems. Starting with basic concepts and Go programming, it moves to chaos engineering topics like fault tolerance, fault injection, and chaos testing. Readers will learn to design and run chaos experiments using various tools and techniques. The book highlights the importance of monitoring and observability to understand system behavior. It includes practical case studies and best practices, ending with an in-depth look at security chaos engineering and emerging technologies. This book also emphasizes implementing observability practices within chaos engineering workflows, enhancing your ability to reduce downtime and improve system reliability.
With a keen focus on best practices and lessons learned, this book equips readers with the knowledge and tools needed to embrace chaos, ensuring robust and reliable systems in an ever-evolving digital landscape.
Key Features
● Master the core concepts and unique principles of chaos engineering.
● Resilience patterns for unstoppable microservices.
● Hands-on chaos experiments for real-world resilience.
What you will learn
● Grasp fundamental concepts and principles of chaos engineering.
● Implement fault tolerance and resilience patterns using Go.
● Design and execute effective chaos experiments to test system resilience.
● Utilize cutting-edge tools for chaos testing and fault injection.
● Integrate observability practices into chaos engineering workflows.
● Apply security chaos engineering and learn from real-world case studies.
Who this book is for
The book caters to both beginners and experienced professionals interested in enhancing system integrity and reducing downtime. Ideal for site reliability engineers (SREs), DevOps engineers, enterprise architects, tech professionals, and college students.
Table of Contents
1. Exploring the Essence of Chaos Engineering
2. Chaos Engineering Concepts
3. Revision with Go
4. Fault Tolerance and Resilience Patterns
5. Chaos Fault Injection Techniques
6. Chaos Testing Tools
7. Chaos Experiment Design
8. Chaos with Emerging Tech Stack
9. Essence of Observability in Distributed System
10. Observability in Chaos Engineering
11. Security Chaos Engineering Overview
12. Case Studies: Chaos Engineering in Action
13. Best Practices and Lessons Learned
Kapil Kumar Khandelwal is a passionate tech and product enthusiast with over a decade of experience. He launched his illustrious career after achieving his B.Tech degree and later earned an executive MBA in Leadership and Finance.
Mohit Garg completed his Bachelor of Technology in Information Technology in 2010, followed by an MBA in Leadership and Finance. With over 13 years of experience in the IT industry, he has contributed to and engaged with leading product and service-based companies.
