Docker build cache, dangling images, stopped containers, and orphaned volumes accumulate silently. On a busy build agent the filesystem fills within weeks, and the first visible symptom is usually something unrelated failing — a node marked NotReady, or a database refusing writes on the same volume.
Build agents were failing every few weeks with no-space errors, and on two occasions a shared node filled up and evicted unrelated production pods. Cleanup was manual and inconsistent. BuildKit cache mounts and multi-stage build layers were accumulating fastest, and a set of orphaned volumes from removed containers had never been reclaimed.
CI build agents and Kubernetes nodes running containerized workloads, with frequent image builds across many services.
AceMQ measured what was actually consuming disk before changing anything — separating build cache, image layers, container writable layers, logs, and orphaned volumes — because the right retention policy differs for each. We then established automated pruning with retention that preserves cache value instead of discarding it wholesale.
The recurring no-space failures stopped, and build cache hit rates stayed high because pruning is retention-based rather than a full wipe. Production pods no longer share a filesystem with the build cache.
Resolving containers repeatedly OOMKilled because the JVM and Node runtimes inside them were sizing heap against host memory rather than the cgroup limit.
Restructuring Dockerfiles and CI caching so builds reuse layers properly, cutting pipeline time and image size across a large service estate.
Whether you need architecture advisory, 24/7 support, or full managed services, AceMQ has the expertise to help.