# Polylane use cases

> What teams hand to Polylane: incident response, DevOps, impact analysis, ticket resolution, observability, and release management. Canonical: https://polylane.com/use-cases

Every function of running production, handled by agents. Six jobs teams hand to Polylane on day one; underneath each one, Polylane learns your system, watches it, investigates, and acts.

## Polylane for impact analysis

> Catch issues before they reach production: every pull request reviewed against the live infrastructure it deploys to.

Catch issues before they reach production. Every pull request reviewed against what's live, not just the diff.

- Every pull request reviewed against live production
- A comment with the mechanism, the evidence, and the one-sentence fix
- A required check that blocks the risky merge

Full page: https://polylane.com/use-cases/impact-analysis (Markdown: https://polylane.com/use-cases/impact-analysis.md)

## Polylane for incident response

> AI incident response: alerts triaged in seconds, automated root cause analysis with receipts, and mitigation before the meeting starts.

It's 2:14am and checkout is failing. By 2:15 the investigation is running.

- Every alert and detection triaged the moment it fires
- Investigations with evidence behind every claim
- Mitigate first, then the permanent fix for review

Full page: https://polylane.com/use-cases/incident-response (Markdown: https://polylane.com/use-cases/incident-response.md)

## Polylane for DevOps

> AI for DevOps: one live graph of your cloud infrastructure, every change tracked to who made it, queues and cron jobs watched.

The infrastructure work nobody was hired to do. Mapped, watched, and kept honest by agents.

- Every resource across your providers in one live graph
- Every change on the record, tied to who made it and when
- Queues, crons, and workers watched like user-facing services

Full page: https://polylane.com/use-cases/devops (Markdown: https://polylane.com/use-cases/devops.md)

## Polylane for ticket resolution

> AI ticket resolution: agents run root cause analysis with full production context and prepare the fix for your review.

The ticket becomes a pull request. Polylane does the digging in between.

- Bugs investigated with production context, not guesses
- Root cause with evidence: every claim cited
- The fix comes back ready to review, or goes to Devin, Cursor, or Factory

Full page: https://polylane.com/use-cases/ticket-resolution (Markdown: https://polylane.com/use-cases/ticket-resolution.md)

## Polylane for observability

> AI observability: agents read your metrics, logs, and traces, cut alert noise, and close instrumentation gaps with code.

Your telemetry already knows what's wrong. Polylane actually reads it.

- Every metric, log, and trace series read on a cadence
- Monitoring questions derived from your code, kept honest against real data
- Coverage gaps closed with code

Full page: https://polylane.com/use-cases/observability (Markdown: https://polylane.com/use-cases/observability.md)

## Polylane for release management

> Deployment monitoring with automatic rollback: every deploy watched against baseline, regressions tied to the change behind them, rollbacks you opt into.

Ten deploys a day. One of them is bad. Polylane finds it and rolls it back.

- Every deploy watched against how the service normally behaves
- Regressions tied to the exact change behind them
- Opt-in rollbacks: three per hour, receipted, on the record

Full page: https://polylane.com/use-cases/release-management (Markdown: https://polylane.com/use-cases/release-management.md)

## How Polylane works

- **It learns your system first.** The context graph maps every resource and dependency across your clouds, repos, and observability providers. Agents reason over real topology, not guesses.
- **Detection without thresholds.** Built-in checks for every provider, plus checks generated from your own saved queries and dashboards. A statistical pass and an agent decide together, and an improvement never raises an issue.
- **Investigations that show receipts.** Every claim links back to the query, log line, or change record behind it. A verdict without evidence falls back to inconclusive.
- **Writes are earned, never assumed.** Accounts connect read-only. Rollbacks are off by default, rate-limited, and on the record. Code changes go through your normal review.
- **It gets sharper every week.** Memories, daily notes, and monitoring queries re-confirmed against real data: July's investigation learns from June's.

Early access is rolling out through the waitlist: join at https://polylane.com/#join