Operations | Monitoring | ITSM | DevOps | Cloud

May 2024

Saving Three Months of Latency with a Single Trace: Coralogix and OpenTelemetry on Checkly

What’s the point of observability? Surely if you write good code, maintain it, handle tech debt, and administer its resources correctly, it’ll run great? Why would you need to keep a close eye on services that have already been tested and are working great? In this article I want to show how continuous monitoring of your systems closely, with tools like Checkly and Coralogix, can find problems that would have been impossible to predict or pre-optimize.

Get alerted when your Playwright checks degrade in performance

Discover how to improve your end-to-end monitoring alerts with Checkly's new feature: degraded browser check runs. In this video, you'll learn how to extend your Playwright tests to mark test runs as "degraded" under certain conditions. Marking checks as degraded gives you more control over critical alerts and you'll gain more insights into your monitoring results.

How to monitor your APIs with Checkly API checks

This video covers how to use Checkly's API checks and active synthetic monitoring to streamline your API monitoring process and detect issues faster. We'll set up a new API check to monitor one of Checkly's API endpoints and go step-by-step from configuring the API request to defining essential headers, monitoring details and retry strategies.

Leveraging Network Interception with Playwright for End-to-End Monitoring

If you're using Playwright, either on its own or for synthetic monitoring with Checkly, you might have heard about writing Playwright scripts in a user-first manner. This approach focuses on interacting with the UI as a user would, such as clicking buttons or submitting forms, and then waiting for the UI to reflect the changes. However, sometimes you need to intercept and analyze the network layer to verify that your UI is getting the right responses from its supporting API.