Case Studyscylladbfeature storedragonflydbcompaction tuning
Agoda Scales Feature Store To Maintain 10ms P99 Latency
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9.2
Agoda scaled its ScyllaDB-backed online feature store after server traffic spiked 50× between Jan 2023 and Feb 2025, aiming to maintain a 10ms P99 latency SLA. Engineers used DragonflyDB caching, client-side caching, compaction tuning, and a SATA→NVMe disk upgrade; combined changes increased cold-cache capacity from about 5K EPS to roughly 300K EPS, restoring stability.
Scoring Rationale
High practical impact due to verified 50–60× capacity gains; limited novelty because solutions are well-known operational optimizations.
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