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

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781838985936

Length 324 pages

Edition 1st Edition

Languages

JavaScript

Tools

Node.js

Concepts

Front End Web Development

Author (1):

Daniel Kapexhiu

View More author details

Table of Contents (23) Chapters

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

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Microservice-level caching and database query caching

Microservice-level aching and database query caching are strategies employed to enhance the performance and scalability of microservices by reducing the need for repeated computations and database queries.

Microservice-level caching

Microservice-level caching involves storing and retrieving frequently accessed data within individual microservices to avoid redundant computations or external calls. Each microservice maintains its own cache, and caching decisions are made within the microservice boundaries.

Caching can allow microservices to improve fault tolerance, which is the ability of a system to continue functioning despite failures or errors. Caching can act as a buffer during temporary service outages or network issues, which can affect the availability and performance of microservices. Caching can help microservices to do the following: