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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 visual side of monitoring with Azure, exploring tools and services that allow you to create intuitive and actionable visual representations of log and metric data.

We then moved on to the Azure visualization tools you can use to visualize collected data, such as Azure Monitor Insights, Azure Workbooks, Azure dashboards, Azure Managed Grafana, and Microsoft Power BI on Azure. Each of these tools has specific features and use cases that cater to different monitoring needs and scenarios.

The chapter also highlighted the importance of criteria when choosing the right visualization tool. The choice of the most suitable visualization tool depends on various factors, such as the type and source of the data, the format and level of detail of the visualization, the target audience, and the purpose of monitoring. The chapter provided a guide to compare and select the optimal tool based on these criteria.

Finally, we provided a lab practice that...

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