Rate limiting at scale: over-allow or under-allow?
The five rate limiting algorithms and the boundary bug that separates them, why 50 servers each counting alone let 10 times the limit through, and how to design a limiter that keeps working, on purpose, when a Redis node dies.
01 · Previously
W01 · DAY 03 · Rate Limiting at Scale
Stored, replicated. Now: protected.
Previously: replication
Previously, on Day 2, you copied the data: leaders and followers, replication lag, failover and fencing.
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