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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 measure an application’s performance?

By following the Optimization Cycle, the first step to improving something in every work field is that we need to set a baseline. The starting point will be different for each company’s department. For instance, the sales team will measure the sales or the revenue over time to set its improvement goals.

So, we need to define what is worth measuring by defining our application’s metrics boundaries. It’s clear that our first challenge is choosing what to measure. The most common metrics are the following:

  • HTTP response times and request rates
  • Error ratings
  • Process metrics such as CPU, memory, and Garbage Collector usage

Each bullet point is a KPI. Every KPI requires a different approach and a different analysis. Despite their differences, these measurements are strongly connected since inadequate resource management will impact the response latency, and a high error rating may increase...

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