Every function of running production. Handled by agents.
Impact analysis
- 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
Incident response
- Every alert and detection triaged the moment it fires
- Investigations with evidence behind every claim
- Mitigate first, then the permanent fix for review
DevOps
- 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
Ticket resolution
- 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
Observability
- 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
Release management
- 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
How Polylane works. It learns your system, watches it, investigates, and acts.
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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.
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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.
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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.
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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.
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It gets sharper every week
Memories, daily notes, and monitoring queries re-confirmed against real data: July's investigation learns from June's.