Pick one promise
Start with a workflow that creates customer pain if it silently stops: billing access, report delivery, visible generated output, data freshness, backup proof, or deploy verification.
Your app is up but billing is wrong
Monitor the path from provider event to local subscription state, entitlement update, and customer-visible confirmation.
Open playbook
Background jobs without alert noise
Use one monitor per customer-facing promise, attach safe retry context, and alert only when the promised outcome is missing.
Open playbook
Heartbeat vs run lifecycle vs freshness
Use heartbeats for simple completion, runs for bounded workflows, and freshness checks when the output must keep changing.
Open playbook
Monitor generated output
Treat validated, saved, user-visible output as the success condition instead of model-call completion.
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GitHub Actions operational proof
Attach workflow run id, commit SHA, artifact proof, and smoke result after the real operational promise is true.
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Freshness for stale outputs
Use freshness monitors when dashboards, derived tables, reports, or files can go stale without throwing an error.
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Capture evidence, not noise
Payloads should include ids, stage, duration, deploy SHA, safe retry guidance, and the smallest context needed to act. Avoid raw secrets and unnecessary customer data.
Keep existing tools
Luota complements uptime checks, logs, CI, error tracking, and provider dashboards. It answers whether the promised workflow outcome happened.
Need a concrete migration or monitoring pattern? Start with the docs, then adapt the payload to the evidence your operator needs.
Open integration docs