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Cloud-Native Observability with OpenTelemetry

You're reading from   Cloud-Native Observability with OpenTelemetry Learn to gain visibility into systems by combining tracing, metrics, and logging with OpenTelemetry

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801077705
Length 386 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Alex Boten Alex Boten
Author Profile Icon Alex Boten
Alex Boten
LinkedIn
Alex Boten is a senior staff software engineer that has spent the last ten years helping organizations adapt to a cloud-native landscape. From building core network infrastructure to client mobile applications and everything in between, Alex has first-hand knowledge of how difficult troubleshooting distributed applications is. This led him to the domain of observability and to contributing to related open source projects.nnAn approver and maintainer in several OpenTelemetry projects, Alex has helped implement and evolve the project from its early days in 2019 into the massive community effort that it is today. Alex has contributed to the Python and Go OpenTelemetry implementations, as well as to the specification and the collector projects.nnMore than anything, Alex by codeboten on Twitter loves making sense of the technology around us and sharing his learnings with others.
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: The Basics
2. Chapter 1: The History and Concepts of Observability FREE CHAPTER 3. Chapter 2: OpenTelemetry Signals – Traces, Metrics, and Logs 4. Chapter 3: Auto-Instrumentation 5. Section 2: Instrumenting an Application
6. Chapter 4: Distributed Tracing – Tracing Code Execution 7. Chapter 5: Metrics – Recording Measurements 8. Chapter 6: Logging – Capturing Events 9. Chapter 7: Instrumentation Libraries 10. Section 3: Using Telemetry Data
11. Chapter 8: OpenTelemetry Collector 12. Chapter 9: Deploying the Collector 13. Chapter 10: Configuring Backends 14. Chapter 11: Diagnosing Problems 15. Chapter 12: Sampling 16. Other Books You May Enjoy

Summary

Instrumentation libraries for third-party libraries are an excellent way for users to use OpenTelemetry with little to no effort. Additionally, instrumentation libraries don't require users to wait for third-party libraries to support OpenTelemetry directly. This helps reduce the burden on the maintainers of those third-party libraries by not asking them to support APIs, which are still evolving.

This chapter allowed us to understand how auto-instrumentation leverages instrumentation libraries to simplify the user experience of adopting OpenTelemetry. By inspecting all the components that combine to make it possible to simplify the code needed to configure telemetry pipelines, we were able to produce telemetry with little to no instrumentation code.

Revisiting the grocery store then allowed us to compare the telemetry generated by auto-instrumented code with manual instrumentation. Along the way, we took a closer look at how different instrumentations are implemented...

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Authors (1)

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Boten
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Alex Boten is a senior staff software engineer that has spent the last ten years helping organizations adapt to a cloud-native landscape. From building core network infrastructure to client mobile applications and everything in between, Alex has first-hand knowledge of how difficult troubleshooting distributed applications is. This led him to the domain of observability and to contributing to related open source projects. An approver and maintainer in several OpenTelemetry projects, Alex has helped implement and evolve the project from its early days in 2019 into the massive community effort that it is today. Alex has contributed to the Python and Go OpenTelemetry implementations, as well as to the specification and the collector projects. More than anything, Alex by codeboten on Twitter loves making sense of the technology around us and sharing his learnings with others.
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See other products by Boten

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