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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
Author Profile Icon John Doak
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

Summary

In this chapter, we explored the basics of OpenTelemetry, how to instrument your applications and infrastructure, and how to export that telemetry into backend visualization and analysis tools such as Jaeger and Prometheus. We also extended the benefits of metrics by integrating alerting rules to proactively notify us when an application is operating outside of expected behavioral parameters. With the application of what you have learned, you will never be caught blind during a support call. You will have the data to diagnose and resolve issues in your complex system. Better yet, you will know about these problems before issues are raised by your customers.

We also established some relatively simple metrics, traces, and alerts. With this knowledge, you will be able to implement your own traces, metrics, and alerts to empower you and your team to react quickly and efficiently to failures in production.

In the next chapter, we will discuss how to automate workflows with...

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