One 502 among about 70 requests read steward@swarm critical at 1.4%:
past the 30-request minimum and far past the 0.1% cutoff, yet one
error. A new Settings → Thresholds field, "Fewest server errors to
fail" (traefik.threshold.min_5xx, default 3), must also be reached in
the 15-minute window; the 0.1% cutoff still catches a busy router.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Two 500s of about sixteen requests graded roundtable@swarm critical at
9.1%. The Settings → Thresholds minimum of requests in 15 minutes (30 by
default) now guards both shares; the 5xx share still keeps its fixed
cutoff whatever the router's history.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
#5741 "Traefik routers are graded against their own normal", milestone 513.
- A router's 4xx share and p95 learn their normal (learn_normal in the
plugin's setup). Once a router has 5 days of history, a reading over the
fixed cutoff but inside its normal is healthy, and the healthy table says
it is usual for that router. One out of its normal is a warning that says
what is usual, and a metric anomaly.
- The 5xx share is a failure: fixed cutoff always, whatever the history or
traffic (System 182's ruling).
- A 4xx share over fewer requests than Settings -> Thresholds' new "Fewest
requests to judge 4xx" (30 per 15 minutes) isn't graded on the page, and
isn't judged for anomalies.
- Core: learn_normal(gate=(metric, least)) judges a key only while its
resource's gate metric averages at least `least`; `least` may be a
function, so it follows a setting. learn_normal(since=...) learns only
from history after a moment: Traefik latency learns from #5755's
per-scrape figures only.
- The Traefik page lists the routers' metric anomalies of the last 30 days
(_anomaly_card.html). The dashboard widget keeps its why to problems.
- Thresholds and docs say when the cutoffs give way to a normal.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>