DiscoveryThe problemAI ships code faster than your monitoring can keep up.
Every team we talk to has the same three problems. The monitoring stack was built for a world where humans wrote every line of code — and it's breaking now that they don't.
Coverage gaps
Agents ship endpoints and flows faster than anyone can write tests for them. Engineers find out what's broken when customers do.
Brittle, click-built monitors
Record-and-replay tools break the moment the UI changes. Synthetic modules bolted onto APM suites can't script complex auth or multi-step flows.
Triage without context
Alerts fire. Engineers reconstruct the incident from scratch at 2am — no trace, no impact, no fix. And no agent can act on a screenshot in PagerDuty.
PlatformDetect incidents. Communicate them. Resolve them fast.
Detect
Find failures before customers do.
- Test ReporterCI test analytics & flake tracking
- UptimeHTTP, TCP, heartbeat, ICMP
- SyntheticNative Playwright, global infra
- Agentic MonitorsNatural-language checks via Rocky
Communicate
Get the right signal to the right team.
- AlertsEvery channel, including agent webhooks
- Status PagesAuto-updated from monitor state
- DashboardsShare reliability with the business
Resolve
Ship the fix, not the war room.
- Rocky AIRoot cause · impact analysis· suggested fix
- TracesFrom browser request to backend span
ProofFrom hyperscale platforms to global retail — Checkly runs in production.
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DifferentiationMost vendors are bolting AI on. We made two structural bets.
AI in the product.
Rocky AI analyzes every artifact — error messages, stack traces, console logs, video, screenshots, Playwright traces, network requests, your check code — and ships a diagnosis directly into your alert channels.
AI in the platform.
Checkly is built from the CLI and API up. Any LLM agent can create, manage, and escalate tests and monitors directly from the workflow they're already in — as a first-class user, not a dashboard consumer.
The closed loopThe loop no other vendor can tell end-to-end.
Agent ships a feature
A coding agent writes the endpoint or flow.
Agent writes tests
Playwright tests for what it just built.
Runs in CI/CD
Validates before the merge.
Promoted to production
One CLI command: tests become monitors.
Rocky diagnoses
On failure: root cause, user impact, fix.
Agent opens a PR
Reads the diagnosis via MCP. Ships the fix.
Over to youTell us where you're at.
We find the right shape of Checkly by understanding your stack, your renewal window, and where AI is already in your workflow.