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ReadyCan you walk me through how you'd design a rate limiter for an API?
Sure! I'd use a sliding window approach with Redis for distributed rate limiting. Each request increments a counter scoped to the user and time window.
Triggered by "rate limiter"
Rate Limiting Approaches
- • Token Bucket — fixed capacity, constant refill rate
- • Sliding Window — rolling time frame, most accurate
- • Leaky Bucket — fixed processing rate, queues excess
✦ Your STAR story from Acme Corp covers this.
ReadyCan you walk me through how you'd design a rate limiter for an API?
Sure! I'd use a sliding window approach with Redis for distributed rate limiting. Each request increments a counter scoped to the user and time window.
Triggered by "rate limiter"
Rate Limiting Approaches
- • Token Bucket — fixed capacity, constant refill rate
- • Sliding Window — rolling time frame, most accurate
- • Leaky Bucket — fixed processing rate, queues excess
✦ Your STAR story from Acme Corp covers this.
ReadyTriggered by "rate limiter"
Rate Limiting Approaches
- • Token Bucket — fixed capacity, constant refill rate
- • Sliding Window — rolling time frame, most accurate
- • Leaky Bucket — fixed processing rate, queues excess
✦ Your STAR story from Acme Corp covers this.
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