Rate Limit : Token Bucket Algorithm #distributedsystems
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Rate Limit : Token Bucket Algorithm #distributedsystems
Rate limiting is a crucial aspect of system design, ensuring fair usage and optimal performance in various applications. Token Bucket Algorithm is one way to implement Rate Limiting, breaking down its concepts in this short video.
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Token Bucket Algorithm Explained
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Rate Limiting Vs Throttling Both are used to control API traffic and protect systems , but let’s see how do they differ. 👉Rate Limiting : ➡️Rate limiting is used to apply a hard cap on requests say 100 per hour per user and if limit is exceeded reject excess ones. ➡️ Goal of rate limiting is to prevent abuse and enforce quotas. ➡️ Rate limit immediately blocks user request if it exceeds the limit. 👉 Throttling: ➡️ Throttling is used to slow down request or queue them to maintain a steady flow.
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