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Go for DevOps

You're reading from   Go for DevOps Learn how to use the Go language to automate servers, the cloud, Kubernetes, GitHub, Packer, and Terraform

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781801818896
Length 634 pages
Edition 1st Edition
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Authors (2):
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John Doak John Doak
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John Doak
David Justice David Justice
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David Justice
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Toc

Table of Contents (22) Chapters Close

Preface 1. Section 1: Getting Up and Running with Go
2. Chapter 1: Go Language Basics FREE CHAPTER 3. Chapter 2: Go Language Essentials 4. Chapter 3: Setting Up Your Environment 5. Chapter 4: Filesystem Interactions 6. Chapter 5: Using Common Data Formats 7. Chapter 6: Interacting with Remote Data Sources 8. Chapter 7: Writing Command-Line Tooling 9. Chapter 8: Automating Command-Line Tasks 10. Section 2: Instrumenting, Observing, and Responding
11. Chapter 9: Observability with OpenTelemetry 12. Chapter 10: Automating Workflows with GitHub Actions 13. Chapter 11: Using ChatOps to Increase Efficiency 14. Section 3: Cloud ready Go
15. Chapter 12: Creating Immutable Infrastructure Using Packer 16. Chapter 13: Infrastructure as Code with Terraform 17. Chapter 14: Deploying and Building Applications in Kubernetes 18. Chapter 15: Programming the Cloud 19. Chapter 16: Designing for Chaos 20. Index 21. Other Books You May Enjoy

Chapter 16: Designing for Chaos

Writing software that works in perfect conditions is easy. It would be nice if you never had to worry about network latency, service timeouts, storage outages, misbehaving applications, users sending bad arguments, security issues, or any of the real-life scenarios we find ourselves in.

In my experience, things tend to fail in the following three ways:

  • Immediately
  • Gradually
  • Spectacularly

Immediately is usually the result of a change to application code that causes a service to die on startup or when receiving traffic to an endpoint. Most development test environments or canary rollouts catch these before any real problems occur in production. This type is generally trivial to fix and prevent.

Gradually is usually the result of some type of memory leak, thread/goroutine leak, or ignoring design limitations. These problems build up over time and begin causing problems that result in services crashing or growth in latency at...

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