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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

Product type Paperback

Published in Nov 2024

Publisher Packt

ISBN-13 9781835881187

Length 368 pages

Edition 1st Edition

Languages

Python

Tools

Azure Monitor

Concepts

Cloud Native

Authors (2):

Manuel Lázaro Ramírez

José Ángel Fernández

View More author details

Table of Contents (19) Chapters

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

Why subscribe?

17. Other Books You May Enjoy

Appendix

Understanding Application Insights fundamentals

Azure Application Insights, now a component of Azure Monitor, started as a standalone APM service in Azure. APM is a critical practice focused on ensuring that software applications meet performance standards and provide a high-quality user experience. This involves monitoring and managing their performance and availability.

In the context of Application Insights, APM involves several key activities:

Performance monitoring: Continuously tracking the performance of applications, including response times, throughput, and resource utilization, to ensure they meet predefined performance criteria
Anomaly detection: Identifying unusual patterns or anomalies in application behavior that could indicate potential performance issues or failures
Diagnostics and troubleshooting: Providing detailed insights and diagnostic data to help developers and IT professionals troubleshoot and resolve performance problems and errors
User...

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Authors (2)

José Ángel Fernández

José Ángel Fernández

José Ángel Fernández has worked as a Microsoft Specialist and Cloud Solution Architect, specializing in advanced cloud migrations, with extensive technical expertise and a deep understanding of Azure solutions. He has been focused on the cloud for the last 11 years at Microsoft, starting at the same time virtual machines reached general availability and Azure Monitor was not yet a product. José Ángel graduated with a degree in telecommunications engineering from the Technical University of Madrid in 2013. He later earned a degree in big data analytics from the Graduate School of Engineering and Basic Sciences of Charles III University of Madrid in 2020. He resides in Madrid, Spain with his wife, his three-year-old child, and an adopted black cat that has never brought him bad luck.

See other products by José Ángel Fernández

Manuel Lázaro Ramírez

Manuel Lázaro Ramírez

Manuel Lázaro Ramírez is a Microsoft Cloud Solution Architect with a wide technical breadth and deep understanding of Azure solutions. He has been focused on designing and implementing cloud architectures in different industries for the last 10 years. Manuel graduated with a degree in pure and applied mathematics from Complutense University of Madrid in 2013 and later earned a master's degree in pure and applied mathematics from Complutense University of Madrid in 2014. He resides in Madrid, Spain, with his wife, and his passion is developing code with their friends and working and solving real-world business problems with cloud technology to deliver real value.

See other products by Manuel Lázaro Ramírez

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