How Uber Serves over 150 Million Reads per Second from Integrated Cache with Stronger Consistency Guarantees

How Uber Serves over 150 Million Reads per Second from Integrated Cache with Stronger Consistency Guarantees

摘要

Uber的CacheFront缓存系统在扩展规模后，面临缓存命中率和一致性挑战。通过优化存储引擎，实现了同步缓存失效，结合异步CDC机制和TTL，提升了缓存一致性。引入Cache Inspector工具，实时监控缓存状态，确保数据新鲜度。这些改进使CacheFront在读密集型场景中表现卓越，缓存命中率高达99.9%，每秒处理超1.5亿行数据。