Operations | Monitoring | ITSM | DevOps | Cloud

Modern applications generate a deluge of telemetry data—logs, metrics, and traces—that hold the key to understanding system performance and reliability. However, managing this data effectively is a growing challenge for DevOps teams. Raw telemetry can overwhelm teams with complexity and noise even when collected via robust standards like OpenTelemetry.

If you use Checkly, eventually you'll be looking at alerts about something failing, and wonder how to debug a failed check. For most of us, the first thing we want to see is the video of a failed check run. Sometimes, though, our check doesn’t capture video. This guide will cover three common reasons a video doesn’t show up on a check run. This advice is general for Playwright as well as those running Playwright tests on Checkly.

“When are we going to tell users about this?” By the time your incident response team, it’s already too late. During an outage, communicating about downtime with your user base has three main drawbacks: Instead, it’s better to create a status page that automatically shares the status of all your services in a format that users can easily understand. You’ll build trust with your users as you proactively share service status, lessening the perceived impact of incidents.

We just released a fresh new view of the sidebar in the Checkly app. This decision was made after some extensive user research—and this is the story of how we got to the final solution.

If you’re leading a technical organization, you’ll have a critical question when you want to perform uptime monitoring: should wse build and run an uptime monitor ourselves, or pay for a service? While it’s totally possible to build your own basic uptime monitor, you’ll end up costing your business more.

A well-crafted status page helps you build trust, reduce support tickets, and keep stakeholders informed in real time. But with so many tools available, which one should you choose? We’ve rounded up the top 10 status page tools — from legacy platforms to modern, dev-first options. Let’s dive in!

We're thrilled to announce that Checkly is now a launch partner in Vercel's Observability Marketplace! This integration makes it easier than ever for Vercel users to monitor their deployments with end-to-end testing and API monitoring powered by Checkly.

Checkly has always been your early warning system—giving engineering teams unmatched speed and precision in detecting problems through powerful synthetic monitoring. When systems fail, communicating clearly and quickly is just as important as fixing the issue itself. Downtime is inevitable. Confusion doesn’t have to be.

If you're using Playwright for end-to-end testing or synthetic monitoring with Checkly, you've likely considered reusing your test code across different test cases. A common approach for this is using Page Object Models (POMs). However, if you're like me, you might have mixed feelings about POMs—while they help organize your code, they can sometimes feel cumbersome to set up and maintain.

With Render’s announcement this week of their new webhook integrations triggered by Render events, I wanted to explore how the integration between Render and Checkly can help ensure more reliable production services for your users. Render is a cloud application platform that enables developers to deploy and scale their apps without needing to manage infrastructure.