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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 11: Using ChatOps to Increase Efficiency

As DevOps engineers, we often work as part of a team of engineers that help manage a network, service infrastructure, and public-facing services. This means there are a lot of moving parts and communication that needs to occur, especially in an emergency.

ChatOps provides teams with a central interface to tooling to ask questions about current states and to interact with other DevOps tools while recording those interactions for posterity. This can improve feedback loops and real-time communication between teams and help manage incidents effectively.

One of our colleagues, Sarah Murphy, has a saying – Don't talk to the bus driver. As a release engineer for Facebook in the early days, she was responsible for releasing Facebook across their data centers. This was a high-stress and detail-oriented job that required her complete attention. Many of the engineers wanted to know if their feature or patch was being included...

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