Drive application performance and stability with global rate limiting
Blog post from Ngrok
The implementation of global rate limiting in API requests and incoming HTTP network traffic is crucial for maintaining reliable services, especially in preventing over-eager or malicious clients from overwhelming a system. Ngrok's API gateway, launched recently, includes a Traffic Policy module that allows users to apply rate limits to manage incoming requests efficiently. This ensures that resources are allocated fairly among clients, particularly for AI applications where excessive activity can be deterred by throttling requests. Using a sliding window algorithm, rate limiters like "Ursula" can manage requests by counting the number over a specified period, ensuring that average requests remain below a certain threshold to prevent excessive traffic. Bucket keys can be utilized to apply rate limits to specific criteria, such as client IP addresses or HTTP headers, allowing for more granular control and preventing individual clients from monopolizing resources. When a rate limit is exceeded, the system responds with an HTTP 429 status, indicating the client should retry after a specified duration, thus maintaining service integrity and fairness.
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