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Accelerating Server-Side Development with Fastify

You're reading from   Accelerating Server-Side Development with Fastify A comprehensive guide to API development for building a scalable backend for your web apps

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781800563582
Length 406 pages
Edition 1st Edition
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Authors (3):
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Maksim Sinik Maksim Sinik
Author Profile Icon Maksim Sinik
Maksim Sinik
Matteo Collina Matteo Collina
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Matteo Collina
Manuel Spigolon Manuel Spigolon
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Manuel Spigolon
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Table of Contents (21) Chapters Close

Preface 1. Part 1:Fastify Basics
2. Chapter 1: What Is Fastify? FREE CHAPTER 3. Chapter 2: The Plugin System and the Boot Process 4. Chapter 3: Working with Routes 5. Chapter 4: Exploring Hooks 6. Chapter 5: Exploring Validation and Serialization 7. Part 2:Build a Real-World Project
8. Chapter 6: Project Structure and Configuration Management 9. Chapter 7: Building a RESTful API 10. Chapter 8: Authentication, Authorization, and File Handling 11. Chapter 9: Application Testing 12. Chapter 10: Deployment and Process Monitoring for a Healthy Application 13. Chapter 11: Meaningful Application Logging 14. Part 3:Advanced Topics
15. Chapter 12: From a Monolith to Microservices 16. Chapter 13: Performance Assessment and Improvement 17. Chapter 14: Developing a GraphQL API 18. Chapter 15: Type-Safe Fastify 19. Index 20. Other Books You May Enjoy

How to optimize the application

To optimize the application, we must start from the output of the analysis phase of the Optimization Cycle workflow. The actions that we could take are very different:

  • No action: The data analysis suggests that optimization is not possible or is not worth the effort to improve performance
  • Code base optimization: The data tells us that there are bad algorithms or bad business logic implementation in our code base, and we can rewrite it to speed up the server
  • Architectural action: The data identifies a system bottleneck, such as a legacy database
  • Configuration setup: The analysis suggests that tweaking the configuration could improve the performance

The No action step is continually revised based on data that we will continue to measure and analyze over time.

For every action type, there is different knowledge to acquire. Working within a fantastic and heterogeneous team helps cover all these aspects, which are not always...

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