Statistical
Recurring Pattern Detection
Updated Jul 29, 2026 · today
Identifies log patterns that recur on a schedule — daily batch jobs, hourly cron runs, weekly reports — and flags when one fails to fire on its expected cadence.
Example alert
Exact wording varies — the detector generates titles from the anomaly it finds. This is representative of what an alert looks like when it fires.
How it works
Detects periodicity in log pattern timestamps using autocorrelation. Once a recurring schedule is learned (daily, hourly, weekly), a missed occurrence triggers an alert. Learning period: 2–3 full cycles of the detected cadence.
Availability
Runs on these tiers:
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