3 commits

Author	SHA1	Message	Date
rcourtman	ee0e89871d	fix: reduce metrics memory 86x by reverting buffer and adding LTTB downsampling ... The in-memory metrics buffer was changed from 1000 to 86400 points per metric to support 30-day sparklines, but this pre-allocated ~18 MB per guest (7 slices × 86400 × 32 bytes). With 50 guests that's 920 MB — explaining why users needed to double their LXC memory after upgrading to 5.1.0. - Revert in-memory buffer to 1000 points / 24h retention - Remove eager slice pre-allocation (use append growth instead) - Add LTTB (Largest Triangle Three Buckets) downsampling algorithm - Chart endpoints now use a two-tier strategy: in-memory for ranges ≤ 2h, SQLite persistent store + LTTB for longer ranges - Reduce frontend ring buffer from 86400 to 2000 points Related to #1190	2026-02-04 19:49:52 +00:00
rcourtman	80cdfab536	Update metrics docs with canonical resourceType values ... - Use canonical types (vm, container, dockerContainer) instead of aliases (guest, docker) in examples - Document that guest/docker aliases are accepted by the API - Clarify persistent store type mapping in data flow doc	2026-02-01 22:26:04 +00:00
rcourtman	ad4acf1222	chore: add frontend utilities and metrics documentation ... - Add useResizeObserver and useTooltip React hooks - Add utility functions for anomaly colors, error extraction, text width, and threshold colors - Add METRICS_DATA_FLOW.md documentation - Ignore SQLite temp files (*.db-shm, *.db-wal)	2026-01-22 13:48:41 +00:00