Bound docker_logs growth in the periodic cleanup task (same architecture as the
metrics/events retention). run_docker_retention gains logs_retention_days +
logs_max_bytes_per_container: it prunes lines past the age window, then keeps
only the newest ~cap bytes per (host, container) via a window-function ring
(exclusive-prefix sum, so the newest line always survives even if it alone
exceeds the cap). Containers rotate independently.
- settings DEFAULTS: docker.logs.enabled/exclude/retention_days(3)/
max_bytes_per_container(5MB) — operator preference: ~3 days / ~5 MB
- cleanup.py reads the two windows fresh each run (rule 25, no restart)
- integration rotate test: age prune + per-container byte cap + isolation
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CAGR73DUowdVFVvYzLXC5C
Bounds Docker time-series growth (the main scaling concern). New
docker_metrics_hourly table + docker_006 migration; a plugin retention module
(docker.run_retention capability) rolls raw docker_metrics older than the raw
window into hourly averages (idempotent upsert), deletes the rolled raw rows,
then prunes stale rollups + lifecycle events. Core cleanup.py drives it each
hourly run via the capability (no plugin-model import), reading the three
retention windows fresh from settings so changes apply without restart (rule 25).
Settings → "Thresholds & Retention" gains a Docker retention card (raw /
rolled-up / events windows, working defaults 7/90/30 days). Unit tests cover the
hour-aligned cutoff/bucketing helpers; integration test exercises the real
rollup-average + prune across both windows.
Milestone 77 task #941.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016Jg27rgypiW2efULXJDtMC
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