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.