Related reading
- 1 points
Saving another 100TB of RAM with math (and Rust)
Cloudflare reduced the memory footprint of its Pingora Backend Router by re‑examining the consistent‑hashing implementation in the pingora‑ketama library. By increasing the number of virtual hash points per server from the default 1 to the standard 160 (and applying weighted hashing based on disk capacity), they cut the per‑node overhead enough to reclaim >100 TB of RAM across the fleet. The post…
Accelerating the borderless Lakehouse: Announcing preview of cross-cloud caching
Google Cloud previewed cross‑cloud caching for its Borderless Lakehouse. The feature caches sub‑file Parquet blocks in Google Cloud, encrypts them with GMEK, isolates cache per tenant/region, and validates freshness via metadata checks. In tests it can reduce cross‑cloud data transfer to <5% of the original size, lowering query latency and cost for Iceberg tables stored in other clouds. BigQuery…
Google Cloud Bloggoogle.com3 minreleaseIntroducing Smooth Scaling: faster, more intelligent scaling
Redis Cloud Pro introduces Smooth Scaling, which leverages atomic slot migration (ASM) from Redis 8.4 to move only the necessary hash slots during scaling. This shortens scaling windows and reduces impact on live traffic without any code changes.
Redisredis.io3 min


