01 / ANALYZEStart with one flow.
Bring one day of evidence. Get back the steps Clutta found, the id that ties them together, and where the flow stopped, with the records cited.
One-shot investigationClutta works out how each flow normally runs, then watches for the run that does not finish. No replacement stack and no new query language required.
01 / ANALYZEBring one day of evidence. Get back the steps Clutta found, the id that ties them together, and where the flow stopped, with the records cited.
One-shot investigation02 / SCANClutta learns how each flow normally runs from repetition, then names the run that stops partway, against the deadline that flow usually meets.
Continuous detection03 / CASE FILESOne Case File per stop, with every affected run and the records behind it, not a thousand alerts. The investigation starts where the search would have ended.
Operational memoryOne verified case, shown in full. Independent research establishes that the problem is larger than one incident.
HTTP 200 across services
3.6 ms authentication response
API key validated
No crash or timeout
Clutta connects service health, payload structure, and downstream behavior into one traceable failure path.
At scale the failure hides inside the average. A thousand customers stuck out of a million is 0.1 percent on every dashboard and a thousand tickets by Monday. Every new integration adds a flow where that can happen, and a proper check for one still takes a quarter.
name complexity and overhead as their largest observability obstacle.
Grafana 2025still learn about interruptions through complaints, tickets, or manual checks.
New Relic 2025silent semantic failures studied across nine distributed systems.
USENIX OSDINothing installed in your services. Point Scan at one system for a day. We come back with the flows it found and which of them are ready to check. Nothing is activated until you approve it.
curl -fsSL https://clutta.io/install | sh
Start with the evidence you already have.