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Showing 21–40 of 48 dossiers

Buttondown cut its database from 2TB to 750GB by deleting three legacy tables

Buttondown’s 'Great Pruning' is a small-SaaS operations story about deleting architecture rather than adding it. The company removed duplicated or over-retained request and email-event data after changing how those workloads were processed.

Railway makes Postgres recovery, HA and pooling machine-operable from its CLI

Agents and operations tooling can inspect HA health, trigger switchovers, restore to a timestamp and change connection pooling from one machine-readable surface. That increases automation power, but recovery actions still create real operational boundaries such as brief failover interruption and forked PITR services.

Amazon Aurora Serverless gets faster burst scaling

Aurora Serverless can now add roughly 12 ACUs in the first second of a scale-up event on platform versions 3 and 4. The change is automatic and is most useful for bursty SaaS, API, batch and agent workloads, but it does not remove the separate resume delay when a database has scaled all the way to zero.

Anthropic’s Model Hardware Standard gives AI agents a shared interface for physical devices

MHS is an attempt to make microscopes, liquid handlers, robotic arms and other programmable hardware look like a consistent tool surface to AI agents. It is still a research preview, but the interoperability layer is already being tested with research institutions and hardware vendors.

Kubernetes 1.37 moves more cluster operations into the core platform

The release consolidates several recurring cluster-management jobs into core APIs and controllers. HPA scale-to-zero is now default-on Beta, storage-version migration and Pod Certificates are Stable, DRA can satisfy existing extended-resource requests, and large etcd reads gain a streaming path that reduces peak memory pressure.