03
Expedition · Case Study 1
Rate Limiter
Design a distributed rate limiter — token bucket, sliding window, Redis atomicity, fail-open vs fail-closed.
System Requirements
Problem statement, functional requirements, back-of-envelope estimation, NFRs, API design, and base architecture.
FREstimationNFRAPIBase Architecture
Open →
Deep Dives
All major algorithms, distributed rate limiting with Redis atomicity, rule storage strategies, fault isolation — node down, Redis down, DDoS defense.
Token BucketSliding WindowRedis AtomicityRule StorageDDoS Defense
Open →
Observability
SLIs and SLOs for a rate limiter, latency and availability measurement, alerting strategy, and error budgets.
SLI / SLOAlertingError Budget
Open →
Final Design
The complete architecture after all deep dives — every component justified, every tradeoff resolved.
Final ArchitectureFull Diagram
Open →