Best Practices for API Rate Limiting in Identity Microservices
Blog post from Didit
Rate limiting is a critical component in safeguarding identity microservices, ensuring they remain stable and secure against abuse and overload. Didit's AI-native identity platform exemplifies this by implementing both global and endpoint-specific rate limits, which protect services from denial-of-service attacks and excessive traffic while maintaining high availability. Effective communication with clients is achieved through standard HTTP headers that guide them on usage limits and appropriate handling of 429 responses, with an emphasis on implementing exponential backoff strategies for retrying requests. Didit offers pre-configured rate limiting solutions, allowing developers to focus on core features without the need to build complex infrastructure from scratch. This approach includes a modular architecture that supports various identity verification processes, such as ID Verification, Passive & Active Liveness, and AML Screening, with Didit handling the complexities of traffic management and stability. The platform also provides integrations with tools like Zapier and offers a free tier to make advanced identity verification accessible to businesses.
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