API Rate Limiting for Identity Verification (2)

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API rate limiting is essential for maintaining the security and performance of identity verification (IDV) systems, which are increasingly targeted by malicious actors through brute-force and denial-of-service attacks. Rate limiting restricts the number of requests a client can make within a specified timeframe, preventing system overloads and ensuring service availability for legitimate users. Didit employs a sophisticated rate limiting strategy utilizing algorithms like token bucket and leaky bucket, along with tiered, endpoint-specific, and IP-based limits, to balance security, fairness, and developer experience. Effective rate limiting involves choosing the right algorithms, setting appropriate limits, providing informative error responses, and dynamically adjusting limits based on system load and detected anomalies. Didit's approach includes real-time monitoring, returning 429 Too Many Requests errors when limits are exceeded, and offering a dedicated endpoint for checking current rate limit status. Best practices for integrating with rate-limited APIs include implementing retry logic, caching responses, optimizing API usage, and respecting rate limit headers.

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