Production stopped fitting in anyone's head. Polylane holds all of it: clouds, code, and telemetry in one live graph.
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Agents are as good as their context. Here's how Polylane learns yours.
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Your whole cloud, read-only
AWS through a read-only role, most providers with an API token. Every resource joins the graph, and it stays fresh on its own.
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Linked across providers
Hostnames, DNS records, and IPs connect the clouds: a Cloudflare CNAME pointing at a Render service. The real request path, not the diagram from two years ago.
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The important stuff, watched harder
Every resource gets a tier, from critical to minimal, worked out daily from traffic and what depends on it. Override any of it.
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It writes things down
Each resource keeps a wiki that rewrites itself as your system drifts, and agents leave notes: July's investigation learns from June's.
CLI or MCP, your choice. Your coding agent connects whichever way you want.
The CLI wires it.
One install connects your stack and registers Polylane in every coding agent on your machine.
MCP serves it.
Your clouds, telemetry, deploys, and code behind one MCP server. Reads by default; writes sit behind a default-deny policy.
In the tool you already use. Every agent reads the same graph.
Code mode. One round trip, just the answer.
Instead of calling tools one by one, your agent writes TypeScript against the MCP's tools namespace and the server runs it. Intermediate results never touch the context window; only the answer comes back.
// Which deploy slowed checkout-edge? const deploys = await tools.deployHistory({ service: "checkout-edge", hours: 24 }); const { points } = await tools.queryMetrics({ service: "checkout-edge", metric: "latency.p99", hours: 24, }); const median = (xs) => xs.sort((a, b) => a - b)[xs.length >> 1] ?? 0; const p99 = (t, side) => median(points.filter((p) => (side < 0 ? p.t < t : p.t > t)).map((p) => p.v)); // Score every deploy by the p99 shift across its timestamp. const [worst] = deploys .map((d) => ({ ...d, shift: p99(d.at, 1) / p99(d.at, -1) })) .sort((a, b) => b.shift - a.shift); // Pull the error logs right after the suspect deploy. const errors = await tools.queryLogs({ service: "checkout-edge", level: "error", after: worst.at, limit: 5, }); // Only this returns; the series and logs stay in the sandbox. return { deploy: worst.sha, // 9f3c2a1 p99Shift: worst.shift, // 4.8 topError: errors[0]?.message, // "Hyperdrive pool exhausted" };
✓ one answer back; twenty round trips saved