Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring for Financial Services: Reducing Costs, Ensuring Reliability

Fintech has reshaped financial services, using technologies like machine learning and blockchain to deliver faster, smarter, more user-friendly experiences. Challenger banks, open banking apps, digital payments, and investment apps have set a new standard—leaving traditional institutions racing to keep up. But staying competitive isn’t just about building digital products—it’s about making them reliable.

Simplifying Observability: Streamlining Telemetry with a Centralized Pipeline

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.

Why didn't my Playwright test capture video?

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.

Create a status page for your production service in 5 minutes

“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.

Detect, Resolve, and Communicate: Introducing Checkly Status Pages

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.

Combine Fixtures & Page Object Models for DRYer Test Code in Playwright

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.