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CodeSignal

Throttling API Requests

via CodeSignal

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Overview

Throttling manages high request volumes by slowing down requests instead of blocking them. Unlike rate limiting, which rejects excess requests, throttling adds delays when thresholds are exceeded. This keeps your API responsive and stable during traffic spikes.

Syllabus

  • Unit 1: Enhancing and Extending Delay Throttle Middleware
    • Visualizing Throttling with Console Logs
    • Implementing Request Timeouts for Better Throttling
    • Tracking Wait Times with Response Headers
  • Unit 2: Throttling API Requests with Token Bucket
    • Implementing Exponential Backoff for API Throttling
    • Implementing Token Bucket Replenishment Mechanism
    • Integrating Express with Token Bucket Throttling
  • Unit 3: Queue-Based Throttling in TypeScript REST API
    • Creating a Request Queue Data Structure
    • Implementing Request Timeout Handling
    • Processing Requests from the Queue
    • Implementing the Queue Throttle Middleware
    • Testing Queue Throttling Under Load
  • Unit 4: Tiered Token Bucket Throttling
    • Implementing Rate Limit Response Headers
    • Implementing Basic Token Bucket Throttling

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