By combining Page Object Models with Playwright fixtures, you can streamline your test code and enhance the developer experience. This approach reduces repetition and makes your test cases more readable and maintainable. I’ve become a big fan of this method and will be incorporating more fixture-based POMs in my Playwright projects.

By combining Checkly and Render, you can catch problems early, improve deployment reliability, and keep your users happy. As apps get more complex, these flows become essential for maintaining quality. Try Render's webhooks in your GitHub Actions along with Checkly today to make your deployment process smoother and more reliable.

For B2B SaaS companies, downtime isn’t just an inconvenience—it’s a direct threat to customer satisfaction and revenue. Find out why it's important to reduce your MTTR as a B2B SaaS and why it's crucial to your success.

The function page.waitForTimeout() tells the current script to wait for a perfectly fixed length of time. The result is a ‘hard wait’ that can’t be interrupted. Here’s why hard waits are almost always a bad idea.

With fixtures and each hooks you can get the same behavior you’re looking for with running a single test before the others, with another one after everything else has run. Finally, consider combining inter-dependent tests into a single test, with test steps to document which part of a test failed.

Discover how Checkly's team members are making the most of their $1,000 Learning & Visiting Budget! From coaching and conferences to AI tools and team meetups, see how investing in growth boosts skills, collaboration, and well-being. Plus, get insights on key trends from 2023 to 2024 and why prioritizing professional development matters.

Monitor your databases, mail servers, and messaging queues with Checkly’s new TCP checks. Ensure connectivity, detect failures, and automate monitoring as code—all in one platform.

With Checkly, you can know within minutes if your service is unavailable for users, or acting unexpectedly. In this article we’ll talk about how Checkly traces can help you expand on the benefits of Checkly, adding insights that will help you diagnose root causes, and further reduce your mean time to resolution (MTTR) for outages and other incidents.

Checkly is the industry’s best tool to monitor your production applications. With the power of playwright, developers can test the systems they’ve developed, and roll out those tests as production monitors running from multiple geographies on the Checkly system. And Checkly monitors thousands of API endpoints with complex validation, setup and cleanup scripts, and reliable alerting. So why are we expanding into TCP-based checks? Aren’t those network layer concerns, and outside the responsibilities of application developers? Networking is shifting Left 10 years ago, it’s true, services that were only available via TCP requests might have been the sole responsibility of network admins. They might use DIY tools to repeatedly ping their services. Of course, at that time network admins might test their network-level resources a few times a month and feel sure that everything was working as expected. In the era of user-created subdomains and container services, our network config changes at

While there’s no single right answer for everyone, this post tries to break down how you can find the right cadence for your site checks.

Checkly sends an alert every time the system detects a failure, but how can you be sure you’re getting those alerts, and that those alerts are going to the right people? This guide gives the best strategies to configure your alerts for team success.

Checkly Traces combine synthetic monitoring with distributed tracing to pinpoint failures, reduce noise, and lower observability costs. Learn more.

Learn how Checkly reduced Prometheus cache size using Brotli compression while maintaining efficiency and improving query performance.

Discover why Monitoring as Code is essential for scaling teams. Learn how it improves ownership, reduces costs, and integrates seamlessly into DevOps workflows.

Checkly’s journey from Heroku to AWS—challenges, key learnings, and best practices for a smooth cloud migration. Read our insights.