Checkly

Checkly is a synthetic monitoring and reliability platform for developers and SRE teams who want to catch issues in production by treating monitoring as code.

It uses Playwright to run browser-based synthetic checks that simulate real user interactions such as logins, checkouts and multi-step flows, alongside API checks and uptime monitoring from 20+ global locations.

The defining approach is monitoring-as-code: teams author checks and monitors in TypeScript or JavaScript and version-control them like the rest of their codebase, with a CLI and REST API for programmatic management and CI/CD integration.

Checkly's AI capabilities work with coding agents like Claude, Cursor and Windsurf to generate monitors from natural-language prompts, and its Rocky AI assists with automated root-cause analysis when checks fail.

The platform also provides alerting through Slack, PagerDuty and other channels, status pages, and OpenTelemetry tracing support to connect monitoring with deeper observability. Use cases include continuously verifying critical user journeys, monitoring API health and performance, and alerting teams the moment reliability degrades.

Pros include a code-first workflow that fits engineering practices, Playwright-powered realistic checks, and AI-assisted monitor creation and diagnosis. Cons are that the code-first model is less approachable for non-developers, and costs scale with check frequency and volume. Checkly is freemium with a free tier and paid plans.

Pricing changes often, so check the official site for current plans. Checkly's core capabilities include Playwright-based synthetic browser checks, API and uptime monitoring from 20+ locations, Monitoring-as-code in TypeScript or JavaScript, AI-generated monitors from natural language, Rocky AI root-cause analysis and Alerting, status pages and OpenTelemetry support.

Playwright-based synthetic browser checks is built in, API and uptime monitoring from 20+ locations is built in, Monitoring-as-code in TypeScript or JavaScript is built in, AI-generated monitors from natural language is built in, so you get a rounded toolkit rather than a single trick.

Each feature is designed to take the manual effort out of the task and help you reach a usable result faster, which is what makes Checkly worth a place on your shortlist.

On the plus side, users consistently highlight Code-first workflow fits engineering practices, Realistic Playwright-powered checks and AI-assisted monitor creation and diagnosis as the reasons they keep using Checkly.

It isn't perfect, though — Code-first model is less approachable for non-developers and Costs scale with check frequency and volume are the trade-offs people most often mention, so weigh those against your own priorities before you commit.

As with any AI tool, the output still benefits from a quick human review, but Checkly gets you most of the way there with far less effort.

Checkly runs on a freemium pricing model, so you can start for free and only pay once you outgrow the free tier — handy for testing it on a real task before spending anything.

AI-tool pricing changes often, so always check the current plans, seats and add-ons on the official site for the latest details before you buy. Who is Checkly for? It's best suited for playwright-based synthetic monitoring as code.

Whether you're a beginner trying this kind of AI tool for the first time or a professional who'll use it every day, it's a credible option to consider.

If you're still deciding, compare Checkly against the alternatives and the head-to-head comparisons linked below — looking at features, pricing and real user ratings side by side is the fastest way to find the right fit for your workflow and budget.