Related reading
Introducing Filestore agent volumes: fully managed storage for agent workspaces
Google Cloud adds Filestore agent volumes, a fully‑managed, elastic file‑system that automatically provisions isolated POSIX workspaces for GKE‑based AI agent sandboxes. Volumes attach in milliseconds, support RWX with file‑level locking, and charge only for used capacity with automatic tiering, aiming to cut cold‑start latency and storage waste for large‑scale agent fleets.
Google Cloud Bloggoogle.com4 minAccelerating 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 minreleaseThe Design and Implementation of a Log-Structured File System
The paper introduces a log‑structured file system (LFS) that writes all data sequentially to a log and uses a segment cleaner to reclaim space. In the Sprite LFS prototype, write throughput reaches 65‑75 % of raw disk bandwidth, an order of magnitude faster than Unix for small files, while reads remain comparable.
Hall of Fameberkeley.edu53 minpaperAmazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases
Amazon Aurora is a cloud-native relational database that decouples compute from storage, offloading redo log processing to a purpose-built, multi-tenant storage service. This architecture significantly reduces network I/O, enables fast crash recovery, and provides high durability and availability through a novel 6-way replication quorum model.
Hall of Famestanford.edu47 minpaper

