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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

Parsing log capabilities to simplify querying

Azure Monitor provides powerful parsing capabilities that allow you to extract and manipulate data from log entries. These parsing capabilities are essential for transforming unstructured log data into a structured format that can be more easily analyzed. Key operators for parsing logs in Azure Monitor include parse, parse-where, and parse-kv. Here’s how you can use these operators to effectively parse and analyze your log data:

  • parse: The parse operator is used to extract data from text columns by applying a specified pattern. This operator creates new columns from the extracted values. The structure of the operator is as follows:
    LogsTable
    | parse TextColumn with "pattern" ExtractedValue

    For example, imagine you have a log message such as Error: File not found in directory /user/docs. You want to extract the error type and the directory path:

    LogsTable
    | parse Message with "Error: " ErrorType " in...
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