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Replit details distributed Websocket rate-limiting strategy

Replit's engineering team has detailed a novel approach to rate-limiting persistent WebSocket connections in a distributed system. Traditional rate-limiting methods, often relying on in-memory counters or Redis for API calls, are insufficient for stateful connections that require managing concurrent open connections across multiple servers. The proposed solution involves each server tracking its own connection count for users in Redis, using keys that include server and user IDs. To address potential failures, these counts are set with expiration times and require a refresh mechanism to ensure accuracy. AI

IMPACT Details a specific infrastructure solution for managing persistent connections, relevant for developers building scalable real-time applications.

RANK_REASON Blog post detailing a technical implementation strategy for a specific infrastructure problem.

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  1. Replit blog TIER_1 English(EN) ·

    Distributed Websocket Rate Limiting

    Rate limiting is standard practice for services offering an API. It's used for both protecting against bad actors, for example, attempting DOS attacks and to simply enforce limits on the service. There are many resources on the web on how to implement a rate limiter in your favor…