Checkly

Overview

Founded in 2019 and headquartered in Berlin, Germany, Checkly is a synthetic monitoring platform built for developers in the monitoring and automation space. Its core philosophy is "Monitoring as Code" — developers write browser checks and API checks in TypeScript or Python, manage versions via Git workflows, and integrate seamlessly with CI/CD pipelines. Checkly uses Playwright to drive real browser engines for end-to-end testing across 20+ global locations.

Checkly positions itself as a "pre-deployment" monitoring tool rather than a passive alerting system. Its browser checks act as quality gates in deployment pipelines, ensuring critical user journeys work before new releases go live. Beyond browser checks, Checkly supports multi-step HTTP API request chains and multi-region availability probing, covering the core monitoring needs of modern web applications.

Key Strengths

• Playwright-Powered Real Browser Checks: Uses the Playwright engine to run true end-to-end checks on Chromium, Firefox, and WebKit — 3 browser engines. Each run records full video and HAR files; on failure, developers can replay frame-by-frame, cutting troubleshooting time by over 50%.
• Monitoring as Code: Define checks in TypeScript or Python — 2 languages — commit to Git, review via Pull Requests, and track versions, bringing monitoring into the existing development workflow instead of a separate ops tool.
• Native CI/CD Integration: Deep integration with 3 CI/CD platforms — GitHub Actions, GitLab CI, and Jenkins — auto-running checks in deployment pipelines and blocking releases on failure to prevent regressions reaching production. See Monitoring & Alerting Guide.
• Multi-Region + Private Locations: 20+ managed locations across North America, Europe, Asia Pacific, and South America, plus private agents inside your network for internal API and staging environment monitoring.

Product Ecosystem

Browser Checks

Playwright-based end-to-end test scripts with page interactions, element assertions, and network interception. Each run captures full video, console logs, HAR files, and screenshots for failure replay.

API Checks

Multi-step HTTP request chain validation for REST and GraphQL endpoints, with custom assertions (status code, response body, response time), environment variables, and secret management. See API Error Handling Guide.

Check Groups

Organize related checks into logical groups with unified frequency, alerting rules, and location distribution for large-scale management of monitoring assets.

Alert Channels

Slack, PagerDuty, Opsgenie, Email, and Webhook alerting with silencing windows and escalation policies to ensure failures reach the right people.

Private Locations

Deploy Docker proxy agents inside your network to monitor internal APIs, staging environments, and non-public services, balancing security and coverage.

Limitations

• Synthetic Monitoring Only: No APM, Real User Monitoring (RUM), or infrastructure metrics; full-stack observability requires pairing with Datadog or New Relic.
• High Cost at Scale: Pricing is based on check execution count; large deployments (millions of checks per month) incur significant cost compared to open-source alternatives.
• Narrow Feature Scope: Focused on active monitoring, lacking log analysis, distributed tracing, and custom dashboards found in full-stack platforms.
• Self-Maintained Private Locations: Private Location agents require self-managed Docker nodes with ongoing network and version maintenance.

Use Cases

• Frontend Development Teams (★★★★★): Teams already writing Playwright E2E tests can reuse them directly as ongoing monitoring checks. See the Website Monitoring Tools Guide.
• DevOps/Platform Engineering (★★★★): Embed monitoring as a CI/CD quality gate to auto-block deployments on regression failures.
• API Service Monitoring (★★★★): Multi-region availability and correctness validation for REST and GraphQL APIs.
• Staging Environment Validation (★★★★): Run checks against internal services and pre-production environments via Private Locations.

Pricing

FAQ

• How are Checkly and Playwright related? Checkly uses Playwright as its browser automation engine but is a hosted execution platform. Developers write tests locally with Playwright and upload them to Checkly to run as continuous monitoring; see synthetic monitoring and uptime practice.
• Can Checkly monitor internal services? Yes. Deploy Private Location Docker agents inside your network to monitor internal APIs and staging environments; see Docker deployment for beginners for deployment.
• How does Checkly differ from Cypress-based monitoring? Checkly uses Playwright (faster, multi-browser support) and is designed for continuous monitoring rather than test execution, natively supporting multi-region execution and alert routing; see frontend testing guide for testing practice.
• Does API monitoring support multi-step scenarios? Yes. Chain multiple HTTP requests within a single API Check, passing variables between steps (e.g., login to get a token, then use it for subsequent requests); see API error handling guide for API patterns.
• Checkly vs UptimeRobot — which to choose? UptimeRobot is lightweight availability monitoring with a large free tier; Checkly is code-based browser/API synthetic monitoring with CI/CD integration, ideal for developer-first teams.