Facing rapid growth and high write loads, HuoLala replaced HBase with kvrocks for trace data storage, evaluating Leveled, Universal, and FIFO compaction strategies, optimizing configurations, and ultimately achieving stable operation with up to 70 k QPS, near‑hundred terabytes of data, and a 55% cost reduction.
In this interview, Kvrocks PMC Lin Tianyi explains the challenges of large‑scale storage, the architecture and replication model of Kvrocks, its open‑source community roles, Redis‑compatible clustering, migration commands, future roadmap, and his perspective on the Chinese open‑source ecosystem.
This article explains how Ctrip’s technical team identified the limitations of Redis on private cloud, evaluated numerous NoSQL/NewSQL options, selected Kvrocks, and engineered TRocks with functional, availability, and operational enhancements that deliver higher performance, lower cost, and robust data consistency for large‑scale KV workloads.
This article describes Ctrip's journey from using Redis to developing TRocks, a persistent key‑value database based on Kvrocks, covering background, challenges, research, architectural enhancements, performance and cost evaluations, and future development plans.
Facing a ten‑fold cost increase for public‑cloud Redis, Ctrip engineers evaluated Redis‑on‑SSD alternatives, chose KVROCKS, performed extensive protocol‑compatible modifications, benchmarked performance on standard and Optane SSDs, and demonstrated substantial cost savings while preserving Redis semantics.
