Dive into our detailed analysis as we evaluate GitHub Copilot in generating Playwright end-to-end tests. Discover how AI-assisted coding can enhance your test automation, the importance of detailed prompts, and the role of source code in achieving high-quality outputs. Watch our complementary video for a deeper understanding and join our community for ongoing discussions.

We all implement tools to monitor our nodes and keep our entire cluster up and running. But how often do updates, failures, or errors mean that users suffer outages, even though our status boards look green? As Kubernetes has enabled more complex microservice architecture, the gap between the state of the dashboard, and the health of services for the user, has grown wider. Almost all serious Kubernetes teams need an external tool checking on their system, also known as a synthetic monitor, to really know that everything is working correctly for users. This article is a brief guide to two options: Kuberhealthy and Prometheus Blackbox exporter. The tools are quite different in cost, scope, maintenance, and execution so it’s no surprise they’ll fill quite different roles in ensuring uptime. Prometheus Blackbox exporter Long the standard of ‘are we up or down or not’ Prometheus Blackbox exporter is a dead simple tool that does no more or less than what was promised: blackbox probing of end

Dive into the showdown between ChatGPT and Playwright's Codegen tools as we test out who writes and generates better Playwright code. We're testing, tweaking, and comparing to see if AI can handle the heavy lifting of end-to-end test generation. Spoiler: it's a mix of hits and misses.

Learn 5 essential Playwright CLI features like "--last-failed" and "--only-changed" to rerun failed tests & optimize end-to-end testing workflows.

Learn how to parameterize Playwright projects using fixtures and page object models for cleaner, maintainable code, and enhanced test efficiency.

Learn how to attach screenshots directly to Playwright test reports, centralizing all files in one place for an integrated view of test results.

Discover how to use Playwright and Checkly to detect broken links in your web applications by evaluating URL status codes in end-to-end tests.

Learn how a TCPDump uncovered a bug in Node.js IPv6 handling, highlighting limitations and lessons from Checkly’s Coralogix integration in monitoring services.

In this post, we’ll explore how Playwright can be used to test a GraphQL API (but don’t worry if you’re using REST; Playwright can handle any HTTP-based API). Let's dive into an example using the countries.trevorblades.com GraphQL API.

Streamline Playwright tests with TypeScript decorators. Learn how to efficiently structure test steps and enhance your Playwright test reports.

Discover essential software deployment best practices tailored for modern engineering teams. Learn how to streamline your deployment processes, enhance efficiency, and ensure successful rollouts with these expert strategies.

Learn how to use Playwright's user-first selectors to create stable end-to-end tests, avoiding flaky results and enhancing test reliability.

Explore the evolution from basic monitoring to modern observability with insights on shifting right and implementing Observability as Code.

Learn when and why it may be beneficial to bend coding best practices, with real-world examples like module loading to improve performance.

Discover how to use shared storageState in Playwright to reuse session data across tests, reducing execution time and optimizing CI/CD workflows.