Generative AI for API Sprawl Management in Enterprise Architectures

Generative AI for API Sprawl Management in Enterprise Architectures

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Defining Standards and Rules

9 of 23

9 of 23

Defining Standards and Rules

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Classroom Contents

Generative AI for API Sprawl Management in Enterprise Architectures

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  1. 1 Welcome and Introduction
  2. 2 Agenda Overview
  3. 3 History of Microservices
  4. 4 Advantages of Microservices
  5. 5 Microservices Adoption Milestones
  6. 6 The Problem of API Sprawl
  7. 7 Challenges of Distributed Development
  8. 8 Proposed Solution: Centralization
  9. 9 Defining Standards and Rules
  10. 10 Programmatic Enforcement and Starter Kits
  11. 11 Leveraging AI for API Management
  12. 12 Governance Model in CICD
  13. 13 Preventing API Duplication at Inception
  14. 14 Building an AI-Powered API Discovery Tool
  15. 15 Steps for Effective Data Preparation
  16. 16 Indexing and Context Building
  17. 17 Creating a Query Interface
  18. 18 Generating Detailed Responses
  19. 19 Simplified Flow of API Discovery
  20. 20 Leveraging AI for API Documentation
  21. 21 Automating Documentation Generation
  22. 22 Strategies to Control Existing API Sprawl
  23. 23 Conclusion: Transforming API Landscape with AI

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