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The infrastructure work nobody was hired to do. Polylane does it for you.

Polylane keeps every cloud in one graph and watches the queues, crons and workers nobody else is watching.

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One graph, every provider. It keeps itself up to date.

Topology
Search your cloud resources...
Galaxy
checkout-edge Worker
Critical Critical to your architecture.

Issue hotspot: 4 issues in the last 7 days

Change hotspot: 12 changes in the last 7 days

Cloudflare · coreplane · earth · Compute
hd-prod Hyperdrive
Critical Critical to your architecture.

Change hotspot: 7 changes in the last 7 days

Cloudflare · coreplane · earth · Databases
ingest-events Lambda function
Standard Important to your architecture.

Issue hotspot: 2 issues in the last 7 days

AWS · coreplane-prod · us-east-1 · Compute
payments-db Database
Critical Critical to your architecture.

Issue hotspot: 1 issue in the last 7 days

Change hotspot: 3 changes in the last 7 days

PlanetScale · coreplane · us-east · Databases

Peace of mind. Nothing happens behind your back.

Agents should act on your behalf without putting production at risk. Polylane is built so you can leave it alone.

Read-only from the start

Every account connects read-only: AWS through a scoped role, most providers with an API token. Write access is a separate, per-account decision.

Agent
AWS Cloudflare
query metrics delete stack read logs purge cache

Writes are earned

A write pauses the run and shows you the exact call before anything happens, unless you allowed it ahead of time. Nothing reaches production just because an agent decided it should.

write request

PATCH /workers/checkout-edge

reason: restore the Hyperdrive pool to 50

Approve Reject with a note
waiting on you Cloudflare

Evidence for everything

Every claim links to the query, log line or deploy behind it. Every run is a transcript you can watch, interrupt and share.

thread transcript

● queryLogs → 4,112 rows cited

● deployHistory → 12 deploys cited

cause: deploy 9f3c2a1 evidence

These prompts already work. Copy one, swap your own service name in, and run it.

Give it to your coding agent and let it cook.

Every prompt

Swap the agent. Keep everything.

Your connections, context graph and memories live with Polylane, not with the agent. When a better coding agent ships, point it at the same MCP server and everything comes along.

  • Connections and scopes live in the workspace: connect once, every agent benefits
  • Works with Claude Code, Cursor, Codex, OpenCode, VS Code, Pi, and whatever ships next
  • Memories, notes and investigations persist: switching agents loses nothing
Claude Code Cursor Codex OpenCode VS Code Pi
Claude CodeCursorCodexOpenCodeVS CodePi
aws cloudflare datadog github slack sentry

Polylane runs the whole loop. You step in when it needs you.

  • It learns your system first

    The context graph connects every resource and dependency across your clouds, repos and observability providers, so Polylane reasons over your real system instead of guessing.

  • Detection without thresholds

    Built-in checks for every provider, plus checks built from your own saved queries and dashboards. Statistics and an agent decide together, and a metric getting better never raises an issue.

  • Investigations that cite their sources

    Every claim links back to the query, log line or deploy behind it. Without evidence, the verdict is inconclusive.

  • Writes are earned, never assumed

    Accounts connect read-only. Write actions pause for your approval, with the request and reason on screen, unless you've allowed it ahead of time. Code changes go through your normal review.

  • It gets sharper every week

    It remembers what it confirms, keeps daily notes, and re-checks its monitoring queries against real data, so every incident makes the next one faster.

It plugs into what you already run. Connect read-only and start.

Common questions.

Which providers does Polylane support today?

Polylane supports clouds, observability tools, source control and coding agents. The integrations page has the full list, including what's coming next.

How does it link resources across clouds?

The way traffic actually flows: hostnames, DNS records, and IP addresses matched across providers, environment variables that reveal dependencies, traces where you have them, and infrastructure-as-code that declares what deploys where.

Do I need to tag resources or draw the topology?

No. Connect each account read-only and the graph builds and maintains itself. You can correct or annotate anything.

How much access does each cloud need?

The minimum, read-only by default: AWS through a scoped CloudFormation role, Cloudflare through pre-filled token permissions, and equivalents everywhere else. Write access is a separate, per-account decision.

Which background systems does it watch?

Whatever your providers run: SQS queues and scheduled jobs on AWS, Cloudflare Queues, Render background workers and cron jobs, Kubernetes CronJobs, Fly.io machines. If it's in a connected account, it's in the graph.

More use cases

Know what's running, everywhere. Without keeping a spreadsheet.