Checkly Documentation

The active monitoring layer for engineers & agents

Detect downtime with powerful monitors defined in TypeScript running from global or internal locations. Communicate outages with customizable alerts and status pages. Resolve errors with traces and AI root cause analysis for failures.

Detect
Communicate
Resolve

Monitors are created in the UI or through coded constructs

You can use Browser Checks to run plain @playwright/test spec in your repo on a schedule from locations around the globe, alongside API checks, URL monitors, and heartbeats.

__checks__/homepage.spec.ts

import { test, expect } from '@playwright/test'

test('homepage loads', async ({ page }) => {
  const response = await page.goto('https://www.checklyhq.com')
  expect(response?.status()).toBeLessThan(400)
  await expect(page).toHaveTitle(/Checkly/)
})

Create your first check API Checks Uptime Monitors Playwright Check Suites Testing

Alerts and status pages as code

Define alert channels once and attach them to any check or group. Route failures to Slack, email, PagerDuty, or webhooks, and publish a status page from the same project.

__checks__/alerts.check.ts

import { SlackAppAlertChannel } from 'checkly/constructs'

// Install the Checkly Slack App in your Slack workspace before deploying.
export const slack = new SlackAppAlertChannel('ops-slack', {
  slackChannels: ['#ops'],
  sendFailure: true,
  sendRecovery: true,
  sendDegraded: false,
})

Set up alerting Alert channels Status Pages Dashboards Maintenance Windows

Find the root cause with Rocky AI

Rocky AI uses your check’s errors, logs, screenshots, and available traces to explain what failed, identify the likely root cause, and assess user impact. By default, Rocky AI analyzes every new error group automatically, and you can start an analysis from any failing result.

Terminal

npx checkly checks get <check-id> --error-group=<error-group-id>

Explore Rocky AI Root cause analysis Automatic check repair

What are you monitoring?

Start with what you need to keep working, then choose the right check.

Websites & user journeys

APIs & services

Infrastructure & jobs

What’s new

The latest features and improvements shipping across Checkly.

View changelog

Create and manage checks from your AI agentThe Checkly MCP server can now create, update, and delete checks, monitors, and check groups, so an agent can go from “this endpoint matters” to a running monitor without leaving the conversation.Read more Automatic check repair (Beta)Rocky AI proposes, tests, and applies fixes for repairable errors such as outdated selectors in Browser and Multistep checks.Read more Status pages rebuilt around componentsGroup services into components with StatusPageV3, and let automation rules open and resolve incidents for you.Read more Pull requests from the UIWith the GitHub App installed, Export to Code and UI edits to code-managed checks open a pull request against the defining file.Read more Track contract usage and credit budgetsContract customers can see consumed and remaining credits, usage trends, and projected consumption by account and check type.Read more Private Locations report their own errorsA new Errors tab shows error trends, stack traces, and agent details for every Private Location.Read more Inspect projects from the appMonitoring as Code projects now appear in the UI with their resources, deployment history, and any drift from code.Read more Timezone-aware maintenance windowsRecurring maintenance windows stay at their local time through daylight saving changes.Read more

Build with Checkly

Everything you need to define, test, deploy, and automate your monitoring from code, CI, or an AI agent.

Browse guides

Monitoring as Code

Test and deploy from your terminal or CIRun checks against any environment with checkly test, then ship them as always-on monitors with checkly deploy.CLI reference Every resource, typed and versionedChecks, groups, alert channels, status pages, and dashboards, all defined as TypeScript constructs in your repo.Constructs reference Automate anything with the REST APIManage checks, results, and account settings programmatically, with an OpenAPI spec you can generate clients from.API reference

AI agents

Teach your agent ChecklyOfficial skills give Claude Code, Cursor, Codex, and other agents the context to write, test, and deploy monitoring correctly.Install Checkly Skills Query and manage your account from chatInspect failing checks, results, incidents, and root cause analyses, or create and update checks from any MCP client.Connect the MCP server Root cause analysis for new failuresRocky AI reads errors, traces, screenshots, and the last passing run, then explains the impact and suggests a fix.Meet Rocky AI

Platform

Run checks on every deployGate releases with GitHub Actions, GitLab, Vercel, or Jenkins, and deploy monitoring changes alongside your code.CI/CD integrations Monitor inside your networkRun the Checkly Agent in your own infrastructure to check internal services, staging environments, and private APIs.Set up a Private Location Manage Checkly with your IaCPrefer Terraform or Pulumi over the CLI? Official providers cover checks, groups, alert channels, and more.Terraform provider

Connect with Checkly

Find the community, read the blog, and explore open source projects.

CommunityJoin the conversationAsk questions, share what you built, and get help from the Checkly team and other users.Slack GitHub YouTube

Open sourceView the sourceThe CLI and the Terraform and Pulumi providers are developed in the open.checkly-cli Terraform Pulumi

LearnRead the latestProduct news, engineering deep dives, and fundamentals of testing and monitoring with Playwright and OpenTelemetry.Blog Learn Guides

Getting Started

Detect

Communicate

Resolve

AI

Integrations