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Cloud Observability with Azure Monitor

You're reading from   Cloud Observability with Azure Monitor A practical guide to monitoring your Azure infrastructure and applications using industry best practices

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835881187
Length 368 pages
Edition 1st Edition
Languages
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Authors (2):
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Manuel Lázaro Ramírez Manuel Lázaro Ramírez
Author Profile Icon Manuel Lázaro Ramírez
Manuel Lázaro Ramírez
José Ángel Fernández José Ángel Fernández
Author Profile Icon José Ángel Fernández
José Ángel Fernández
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1:Fundamentals of Observability and Azure Monitor
2. Chapter 1: Introduction to Observability with Azure Monitor FREE CHAPTER 3. Chapter 2: Understanding Azure Monitor Components and Functions 4. Chapter 3: Exploring Azure Monitor Data Sources and the Ingestion Pipeline 5. Part 2: Working with Azure Monitor
6. Chapter 4: Analyzing Your Data Using Logs and Metrics 7. Chapter 5: Responding to Monitoring Events 8. Chapter 6: Visualizing Your Logs and Metrics 9. Chapter 7: Application Observability and Performance Monitoring with Application Insights 10. Part 3: The Road Ahead with Azure Observability
11. Chapter 8: Hybrid and Multi-Cloud Monitoring 12. Chapter 9: Integrating with Third-Party Tools 13. Chapter 10: Building Your Monitoring Strategy 14. Chapter 11: Cost Management and Optimization 15. Chapter 12: Future Trends and Looking Ahead 16. Index 17. Other Books You May Enjoy Appendix

Summary

In this chapter, we covered the comprehensive capabilities of Application Insights, a component of Azure Monitor. We began exploring its automatic and manual instrumentation capabilities, which allow developers to collect detailed telemetry data without significant code changes. We then moved on to the practical aspects of instrumenting code for monitoring, covering the setup process and the benefits of integrating Application Insights into a .NET Core application.

The chapter also highlighted the importance of diagnostics implementation for maintaining application health. We examined how to implement effective diagnostics to quickly identify and resolve issues impacting reliability and performance.

Tracing techniques were another critical focus, as we discussed the use of correlation IDs and parent IDs to track the flow of requests across distributed systems. These techniques help in understanding the execution flow and interactions within the application.

The logging...

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