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Building Microservices with Node.js

You're reading from   Building Microservices with Node.js Explore microservices applications and migrate from a monolith architecture to microservices

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781838985936
Length 324 pages
Edition 1st Edition
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Author (1):
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Daniel Kapexhiu Daniel Kapexhiu
Author Profile Icon Daniel Kapexhiu
Daniel Kapexhiu
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Table of Contents (23) Chapters Close

Preface 1. Part 1: Understanding Microservices and Node.js
2. Chapter 1: Introducing Microservices FREE CHAPTER 3. Chapter 2: Exploring the Core Principles of Microservices 4. Chapter 3: Understanding Node.js Fundamentals: Building Blocks and Key Concepts 5. Chapter 4: Leveraging the JavaScript and Node.js Ecosystem for Microservices Development 6. Part 2: Building and Integrating Microservices with Node.js
7. Chapter 5: Knowing the Infrastructure of Microservices in Node.js 8. Chapter 6: Designing Microservices Architecture in Node.js 9. Chapter 7: Integrating Microservices in Node.js Applications 10. Chapter 8: Debugging Microservices in Node.js 11. Part 3: Data Management in Microservices Using Node.js
12. Chapter 9: Database Manipulation in Microservices with Node.js 13. Chapter 10: API Communication and Data Contracts in Microservices 14. Chapter 11: Caching and Asynchronous Messaging in Microservices 15. Chapter 12: Ensuring Data Security with the Saga Pattern, Encryption, and Security Measures 16. Part 4: Monitoring and Logging in Microservices with Node.js
17. Chapter 13: Monitoring Microservices in Node.js 18. Chapter 14: Logging in Microservices with Node.js 19. Chapter 15: Interpreting Monitoring Data in Microservices 20. Chapter 16: Analyzing Log Data in Microservices with Node.js 21. Index 22. Other Books You May Enjoy

Correlation of log data with metrics and monitoring data

Correlation of log data with metrics and monitoring data involves analyzing log data in conjunction with them to gain deeper insights into system behavior, performance, and health. By correlating logs with metrics and monitoring data, organizations can identify patterns, anomalies, and root causes of issues more effectively. Here’s how correlation with metrics and monitoring data is beneficial and how it can be achieved.

Let’s look at some benefits first:

  • Holistic view: Correlating logs with metrics provides a comprehensive view of system performance and behavior, allowing organizations to understand how changes in metrics relate to events captured in logs.
  • Root cause analysis: By correlating logs with metrics, teams can quickly pinpoint the root cause of issues by identifying patterns or anomalies in both log data and corresponding metric values.
  • Proactive monitoring: Correlation enables proactive...
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