Overview
Detection is the second step of the loop. Once your stack is connected (Context), Polylane watches it and surfaces what needs attention. You don't write alert rules or tune thresholds. Agents read the telemetry and decide.
How detection works
Polylane assembles a check list for every connected cloud account and observability integration:
- Built-in checks for each provider, covering metrics, logs, and traces.
- Checks generated from your own saved queries and dashboards. Save a query or build a dashboard in your provider and Polylane picks it up on the next sync.
- Key queries you curate per account.
Each check resolves a signal, then a statistical pass and an agent decide together whether it points at a real problem. Each check knows which direction is worse for its metric, so an improvement never raises an issue. Deterministic thresholds exist only where a check explicitly declares one, such as crash-looping pods on a Kubernetes cluster. Every evaluation is recorded as a check run against the resource, with a status of healthy, breached, or stable, so you can audit what ran and what it concluded.
On the Free plan, these checks pause after 10 days without anyone using the workspace and resume the moment someone opens it. See Inactive workspaces.
Detection surfaces
- Issues: the single detection lifecycle. Signals from Polylane's own checks and alerts from your connected providers both become issues.
- Change intelligence: every pull request in a connected repository is reviewed against the infrastructure it deploys to.
- Advisories: configuration and setup risks on your resources, such as missing observability coverage.
From detection to investigation
Detection output feeds Investigation:
- Every new issue gets a fix run, the investigation that reaches its verdict and works a confirmed incident to a fix. You can also start one on any issue by hand.
- Fix runs are threads, where agents query your providers and cite evidence.
Detection events also feed the feed and notifications: an issue verdict and a provider alert each land there as they happen.
Next steps
Memories
How Polylane learns your system. Memories capture confirmed findings from agents and people; notes are the auto-written workspace and daily context.
Issues
Every detection in Polylane becomes an issue with one lifecycle. Agents detect and deduplicate each one, a fix run reaches its verdict, and you read the whole story in that fix run's thread.