01 / Promise
Name the outcome
A dashboard, table, export, search index, or derived file stays fresh inside its promised interval.
Data freshness monitoring
Data freshness monitoring for stale outputs.
Some workflows do not have a neat start and finish. Freshness monitors watch whether the output keeps changing inside the promised interval, then open an incident when data goes stale.
Operating spine
The workflow operating spine.
Freshness pages need a proof path too: define what fresh means, prove it changed recently, then inspect the stale-output incident.
02 / Signal
Send the signal
Send a freshness signal after the source is verified, including safe row counts, object ids, timestamps, or version markers.
03 / Drill
Break it on purpose
Pause the refresh or send an old timestamp so Luota proves the stale-output path before production users find it.
04 / Incident
Inspect the bad day
The incident should show last fresh time, expected window, stale source, owner, payload context, and runbook.
05 / Handoff
Leave an operator path
Route the owner to refresh, rebuild, backfill, or communicate stale data with retained evidence.
Fresh output signal
Send a ping when the output is freshly produced or verified. Luota records the latest signal and compares it to the expected freshness window.
Useful stale incidents
Freshness incidents include the monitor, owner, environment, recent signals, payload context, and runbook so the operator knows what stopped moving.
Reports and syncs
Use freshness for dashboards, exports, cache refreshes, reconciliation files, search indexes, and data products where stale output is the failure.
Not just uptime
The app can be up while the data is wrong. Luota treats stale output as a first-class operational incident.
Need a concrete migration or monitoring pattern? Start with the docs, then adapt the payload to the evidence your operator needs.
Open integration docs