Your telemetry already knows what's wrong. Polylane actually reads it.
Join the waitlistIt watches so you don't stare. Your metrics, logs, and traces, read around the clock: judged, not just stored.
Critical latency degradation in checkout-edge worker
Critical latency degradation detected in checkout-edge worker: 18x+ P99 latency spikes sustained for 12 minutes
edge-gateway Cloudflare Worker ··· checkout-edge Cloudflare Worker ··· 
hd-prod Hyperdrive ··· 
payments-db PlanetScale ··· cart-svc Cloudflare Worker ··· It asks the questions your code can answer. Monitoring built from the log lines, spans, and metrics your code declares.
Key queries
31 active · 2 telemetry gapsGenerated from your telemetry and your connected code, judged on observed data: every candidate ran against a day of real data before it was kept.
Gaps get closed with code. Polylane writes the missing instrumentation for you.
Key queries
31 active · 2 telemetry gapsGenerated from your telemetry and your connected code, judged on observed data: every candidate ran against a day of real data before it was kept.
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.
It plugs into what you already run. Connect read-only and start.
AWS 
Cloudflare 
Vercel 
Render 
Fly.io 
Kubernetes PlanetScale 
Supabase 
Modal 
GitHub 
Slack 
Datadog 
Honeycomb 
Axiom 
Sentry 
Better Stack 
Devin 
Cursor 
Factory 
MCP Server Questions.
Does this replace my observability tooling?
No. Polylane is not a dashboard or a metrics store: it reads the same series your dashboards chart, through Datadog, Honeycomb, Axiom, and Sentry, and does the part they don't: deciding, investigating, and acting.
What if I don't have an observability provider?
Cloud-native signals carry most of it: Workers analytics on Cloudflare, CloudWatch on AWS, and their equivalents elsewhere. Connect Datadog, Honeycomb, Axiom, or Sentry and those series join the same graph as first-class sources.
What are key queries?
Monitoring questions with a query behind each one, generated from your telemetry and your connected code, and executed against a day of real data before they're kept. Questions the account can't answer yet are kept deliberately, as telemetry gaps worth closing.
Will the instrumentation fixes change my stack?
No. They mirror the setup you already use and add no new dependencies: structured events, error capture, and the attributes an investigation actually needs.
Does AI monitoring create more alert noise?
The default verdict is no issue. Checks know which direction is worse, improvements never fire, and traffic swings alone are not treated as failures. Silence is a feature: Polylane speaks when something real breaks.