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Building Microservices with Node.js

You're reading from  Building Microservices with Node.js

Product type Book
Published in May 2024
Publisher Packt
ISBN-13 9781838985936
Pages 324 pages
Edition 1st Edition
Languages
Author (1):
Daniel Kapexhiu Daniel Kapexhiu
Profile icon Daniel Kapexhiu

Table of Contents (23) Chapters

Preface 1. Part 1: Understanding Microservices and Node.js
2. Chapter 1: Introducing Microservices 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

Structured logging and log levels

Structured logging involves organizing log messages in a predefined format, typically as key-value pairs or JSON objects, making them more machine-readable and enabling easier analysis. Log levels indicate the severity or importance of a log message.

Here are some best practices for structured logging:

  • Consistent format: Define a consistent structure for log messages across all microservices. Use key attributes such as timestamp, level, service_name, and custom fields.
  • Contextual information: Include relevant context information in logs, such as user IDs, transaction IDs, and service-specific identifiers. Facilitate correlation between logs from different microservices.
  • Error information: For error logs, include details such as error codes, stack traces, and additional diagnostic information. This aids in root cause analysis (RCA) and debugging.
  • Correlation IDs: Use correlation IDs to trace requests across microservices. Include...
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