- Main point: Uber engineers updated CacheFront architecture to serve over 150 million reads per second with stronger consistency, addressing stale read issues and supporting growing demand.
 Key information:
- In earlier design, 40 million reads per second was achieved through deduplication but lacked end-to-end consistency.
 - New implementation introduced write-through consistency protocol, deduplication layer, and tombstone markers.
 - After transaction, storage engine returns commit timestamp and affected row keys to invalidate cached entries.
 - Flux continues tailing MySQL binlogs and performing asynchronous cache fills.
 - Engineers explained motivation as increasing demand for higher cache hit rates and stronger consistency.
 - They deprecated dedicated API and enhanced telemetry and observability dashboards.
 
Important details:
- Cache invalidations relied on TTL and CDC before, introducing eventual consistency and delayed update visibility.
 - There were issues like read-own-writes and read-own-inserts inconsistencies.
 - Cache shards were reorganized for even load distribution.
 - Cache Inspector tool compares binlog events to cache entries.
 - TTLs for tables can be extended up to 24 hours with high cache hit rate and low latency maintained.
 
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