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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

Instrumenting code for monitoring

Instrumentation is a crucial process for monitoring and understanding the performance and behavior of your application in a production environment. By adding specific code to your application, you can collect detailed diagnostic data, including performance metrics, error logs, and trace information.

The Application Insights data model is aligned with the three pillars of observability discussed in Chapter 1. It supports distributed tracing, metrics, and logs as telemetry data types. Let’s explain them in more detail within the context of Application Insights.

Distributed tracing is a method used to track the flow of requests through various services and components in a distributed system. It provides a detailed view of how different services interact with each other and helps in understanding the end-to-end execution flow of a request.

In Application Insights, distributed tracing works by capturing and correlating telemetry data across...

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