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API Analytics for Product Managers

You're reading from   API Analytics for Product Managers Understand key API metrics that can help you grow your business

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781803247656
Length 344 pages
Edition 1st Edition
Concepts
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Author (1):
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Deepa Goyal Deepa Goyal
Author Profile Icon Deepa Goyal
Deepa Goyal
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Table of Contents (24) Chapters Close

Preface 1. Part 1:The API Landscape 2. Chapter 1: API as a Product FREE CHAPTER 3. Chapter 2: API Product Management 4. Chapter 3: API Life Cycle and Maturity 5. Chapter 4: Building and Managing API Products 6. Chapter 5: Growth for API Products 7. Chapter 6: Support Models for API Products 8. Part 2: Understanding the Developer 9. Chapter 7: Walking in the Customer’s Shoes 10. Chapter 8: Customer Expectations and Goals 11. Chapter 9: Components of API Experience 12. Part 3: Deep Dive into Key Metrics for API Products 13. Chapter 10: Infrastructure Metrics 14. Chapter 11: API Product Metrics 15. Chapter 12: Business Metrics 16. Part 4: Setting a Cohesive Analytics Strategy 17. Chapter 13: Drawing the Big Picture with Data 18. Chapter 14: Keeping Metrics Honest 19. Chapter 15: Counter Metrics to Avoid Blind Spots 20. Chapter 16: Decision-Making with Data 21. The API Analytics Cheat Sheet
22. Index 23. Other Books You May Enjoy

Key success factors (KSFs) for APIs

KSFs are critical areas or elements that are necessary for the success of an API. Identifying the KSFs for an API can help you understand what you need to focus on to ensure your APIs are successful.

For an API, the KSFs can vary depending on the specific use case, but some examples could include the following:

  • Performance: The API should have a low response time, high throughput, and a low error rate
  • Scalability: The API should be able to handle a high number of requests and increases in traffic
  • Reliability: The API should be available and responsive at all times, with minimal downtime
  • Security: The API should be secure and protect sensitive data
  • Usability: The API should be easy to use and understand for developers
  • Flexibility: The API should be flexible and able to integrate with different systems and platforms
  • Adoption: The API should be widely adopted by developers and organizations
  • Retention: The API should...
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