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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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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

Logging with context

Logging is probably the most familiar form of telemetry. You probably started logging in the first program you ever authored when you printed Hello World! to STDOUT. Logging is the most natural first step in providing some data about the internal state of an application to an observer. Think about how many times you have added a print statement to your application to determine the value of a variable. You were logging.

Printing simple log statements such as Hello World! can be helpful for beginners, but it does not provide the critical data we require to operate complex systems. Logs can be powerful sources of telemetry data when they are enriched with data to provide context for the events they are describing. For example, if our log statements include a correlation ID in the log entry, we can use that data to associate the log entry with other observability data.

Application or system logs often consist of timestamped text records. These records come in...

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