Caching and Data Freshness

Caching and Data Freshness

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1What are APIs, and Why are They Needed?2What is API Design, and Why Does it Matter?3How AI is Reshaping API Design 4Business Considerations with APIs

5The Lifecycle of an API Request 6Resource-Oriented API Design with REST 7Flexible Data Access with GraphQL 8Typed Service Communication with gRPC 9Real-Time and Event-Driven Communication

10From Product Requirements to an API Model 11Collections, Pagination, Filtering, and Bulk Operations 12Safe Writes, Idempotency, and Concurrent Updates 13Errors and Consumer Recovery 14Asynchronous Operations and Streaming Responses 15API Evolution and Developer Experience

16Authentication and Credential Management 17Authorization and Tenant Isolation 18Transport Security and Trusted Event Delivery 19Input Validation, Abuse Prevention, and Threat Modeling,

20Cookies, Sessions, and Request State 21Timeouts, Retries, and Graceful Degradation 22Event-Driven Architecture and Asynchronous Workflows 23Rate Limits, Quotas, and Admission Control

24Caching and Data Freshness

25Back-of-the-Envelope Calculations for API Latency 26API Monitoring and Observability 27API Versioning and Lifecycle Management

28Design a Search and Autocomplete API 29Design a File Upload and Download API 30Design a Comments API 31Design a Maps and Navigation API 32Design a Streaming Media API 33Design a Payment API 34Design a Real-Time Chat API 35Design a Conversational AI Assistant API

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API Design and Product Architecture for Modern Applications
Caching and Data Freshness