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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

External telemetry – integrating insights from external sources

In the Custom data sources – Azure Monitor REST API section, we mentioned that Azure Monitor provides a REST API called Logs Ingestion API for sending logs to the Log Analytics workspace. This can be done using a REST API call or client libraries (.NET, Go, Java, JavaScript, and Python), but the ingestion is supported for a limited set of Azure tables and any custom table created in the Log Analytics workspace.

The next diagram illustrates the necessary steps for sending data to the Logs Ingestion API:

Figure 3.14 – The Logs Ingestion API flow

Figure 3.14 – The Logs Ingestion API flow

While submitting a custom metric was a straightforward task, submitting custom logs requires a more complex process. Like the previous case, it starts with the obtention of the required authentication tokens to be able to submit the information. After that, we need to enable a data collection endpoint (DCE) inside Azure Monitor...

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