Operations | Monitoring | ITSM | DevOps | Cloud

Playwright Check Suites Are Now GA - But What Does That Mean For You?

There are only a few companies that successfully invest in actively monitoring real user flows in production. I’ve been puzzled by the state of the art for many years, because I’m an anxious developer that always needs to know that production is “all right”. How can it be okay for all of us to wait for error logs, thrown exceptions or customer complains to learn about production issues?

Why do you only use Playwright for pre-release testing and not for production monitoring, too?

We've been running Playwright in production for years. Today, we, at Checkly, are going all in with Playwright Check Suites. Playwright Check Suites is our latest step towards uniting testing and monitoring into a single workflow. It's our biggest advancement yet! Here's why this matters: We're not adapting Playwright anymore. We're running it natively in production with full `playwright.config` support, complete custom dependency control, and support for every tag, spec, or configuration.

Introducing The Next Phase Of Synthetic Monitoring: Playwright Check Suites

We've been running Playwright in production since the beginning. Today, we're going all in. When we first launched Browser Checks with Playwright support, we proved something critical: the most popular test automation framework since Selenium isn't just for testing—it's the foundation of modern production monitoring. But that was just the beginning. Today, we're announcing Playwright Check Suites—our bet on the future of monitoring and the most significant evolution in Checkly's history.

From Datadog to Checkly in minutes

Looking to cut your Datadog bill and modernize your monitoring workflow? In this session, Dan Giordano and Giovanni Rago show how to migrate your Datadog synthetic monitors to Checkly in minutes, unlocking Playwright, Monitoring-as-Code, and AI-powered automation. Timestamps: Intro — Why Migrate from Datadog Dan introduces the session, what will be covered, and who it’s for.

Modern E2E Testing with Playwright and AI

Pair Playwright with LLMs to plan, generate, refactor, and monitor end-to-end tests, without shipping hallucinations. This webinar showcases practical workflow: ground models with fresh docs, driving the browser via Playwright MCP, auto-fixing failing tests, refactoring to POMs, add API checks, and reusing the same suite for synthetic monitoring in Checkly. Chapters.

AI-Driven Application Monitoring with Checkly and Claude Code

In this webinar, Stefan Judis (Developer Relations at Checkly) and Dan Giordano (VP of Marketing at Checkly) dive into how LLMs and AI tools can be used with application monitoring. You’ll see a live demos of integrating Claude Code, Playwright MCP, and Checkly’s Monitoring as Code. ⸻ Timestamps ⸻ Resources & Next Steps ⸻ Subscribe for more sessions on application reliability, testing, and AI-powered DevOps!

Run Checkly Monitors Against Multiple Environments

Learn how to run Playwright tests across different environments without rewriting them. This tutorial covers managing environment variables in Checkly for API and browser checks, handling global and group-specific settings, and integrating with CI/CD processes. Discover the best practices for setting up environment variables, duplicating test groups, and customizing alerts to ensure your checks are environment-specific.

Introducing Checkly Uptime Monitoring: A Fast and Affordable Way to Detect Infrastructure Downtime

Learn more about Checkly, the application reliability platform designed for modern engineering teams! Discover how Checkly enables you to quickly detect, communicate, and resolve production issues and explore the newly added uptime monitoring features, including URL, TCP, and heartbeat monitors. Configure and manage your entire monitoring setup using monitoring as code!