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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 FREE CHAPTER
2. Chapter 1: Introduction to Observability with Azure Monitor 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

Future Trends and Looking Ahead

Throughout this book, we have reviewed the rapidly evolving landscape of monitoring and observability and how it promises to transform how applications running in the cloud ecosystem operate. In this final chapter, we will delve into emerging trends and innovative approaches that will redefine the way we monitor, analyze, optimize, and operate our cloud environments.

This chapter explores how AI integration into observability platforms is revolutionizing the way we predict, detect, and solve problems. AI-driven analytics enable predictive observability, helping your organization anticipate issues before they arise, reducing downtime, and enhancing reliability. We will examine how tools such as Copilot for Azure, integrated with Azure Monitor, enhance predictive capabilities and support proactive monitoring. We will continue exposing how, as serverless computing grows, traditional monitoring struggles with its stateless and ephemeral nature. We’...

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