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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
Languages
Tools
Concepts
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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

Building workflows that are repeatable and never lost

As DevOps engineers, we write tooling all the time. In small shops, many times, these are sets of scripts. In large shops, these are complicated systems.

As you may have gleaned from the introduction, I believe that tool execution should always occur in a centralized service, regardless of scale. A basic service is easy to write, and you can expand and replace it as new needs arise.

But to make a workflow service work, two key concepts must be true of the workflows you create, as follows:

  • They must be repeatable.
  • They cannot be lost.

The first concept is that running a workflow more than once on the same infrastructure should produce the same result. We called this idempotency, borrowing the computer science term.

The second is that a workflow cannot be lost. If a tool creates a workflow to be executed by a system and the tool dies, the tool must be able to know that the workflow is running and resume...

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