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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Playwright Myths Busted: Speed, Flakiness, Production Monitoring & AI Test Generation

Apr 1, 2026 By Checkly In Checkly
Playwright is too hard, too slow, and too flaky — right? In this webinar, Stefan busts six common end-to-end testing myths and shows how to reuse your Playwright tests as production monitors with Checkly. He covers codegen, trace viewer, UI mode, flakiness root causes (and fixes), and a quick look at Playwright MCP for AI-assisted test generation.
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checkly

Checkly Playwright Reporter: A Cloud Dashboard for Your Playwright Tests

Apr 1, 2026 By Pırıl Kavlak In Checkly
The Checkly Playwright Reporter is an npm package that sends the results of npx playwright test to Checkly as a cloud test session, including traces, screenshots, videos, and full debugging context. Run your Playwright suite in CI or locally, and every result gets a persistent, shareable home in Checkly with AI-powered analysis, richer trace-derived views, and a direct path to production monitoring. It does not replace Playwright. It makes the output of Playwright much easier to work with.
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appsignal

What Metrics to Monitor in Your Vibe Coded App

Apr 1, 2026 By Tarun Singh In AppSignal
These days, using a tool such as Cursor, GitHub Copilot, Zed, or Claude makes it easier than ever to develop and deploy applications. You express your requirements, receive the completed project back as output, and there you have it! You now have an application that is in production and functioning. However, the surprise comes after the app has been deployed. When your app breaks or behaves abnormally, it may not be immediately obvious what is wrong or how to fix it.
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datadog

Measure the business impact of every product change with Datadog Experiments

Apr 1, 2026 By Bridgitte Kwong In Datadog
Modern product teams ship features constantly. Every change—whether it’s a new onboarding flow, pricing tweak, or UI adjustment—raises the same question: Did this improve the product? AI has changed the stakes entirely: As release cycles accelerate and code generation scales across every team, the volume of changes has outpaced most teams’ ability to measure their true value.
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honeycomb

From Honeycomb Customer to Bee: An Observability Champion's Journey

Apr 1, 2026 By Josh Parsons In Honeycomb
One of the most important and meaningful cornerstones that has defined and powered my career so far has been how I try to use my skills and talents to make the people around me stronger and achieve positive outcomes. My roles in tech have predominantly been in the ops engineering domain. I consider myself an ops engineer; a title I wear with pride.
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Reality Bytes Is BACK: ft. Marc Petter on the Future of IT Jobs

Apr 1, 2026 By Nexthink In Nexthink
Reality Bytes is back—and this time, we’re diving straight into the future of IT jobs. Tom, Oriana, and Dina are joined by Marc Petter (Senior Product Manager, Nexthink) to explore how AI is reshaping roles, workflows, and career paths. From automating repetitive tasks to the rise of AI agents handling entire processes, the conversation tackles what’s changing, what still requires a human touch, and how IT professionals can stay ahead. They unpack the difference between what can vs. should be automated, and what the new IT career ladder might look like in an AI-driven world.
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icinga

Mirroring Icinga Packages in Air-Gapped and Restricted Environments

Apr 1, 2026 By Alvar Penning In Icinga
When hosting in a secure or corporate environment, Internet access is often restricted or blocked completely. While this makes sense from a security point of view, this introduces some challenges. For one, getting software packages. There are usually two approaches to the package problem in such an environment: Either allow a certain package mirror in the firewall, or run your own mirror within the restricted environment with access to another package server to mirror packages from.
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chaossearch

From Silos to Collaboration: How to Democratize Data in Product Analytics

Mar 31, 2026 By David Bunting In ChaosSearch
Companies who develop software products generate massive quantities of product performance and user engagement data that can be analyzed to support decision-making about everything from feature planning and UX design to sales, marketing, and customer support. Leveraging product data throughout the enterprise represents a significant opportunity to achieve a competitive advantage, but challenges like siloed data systems, poor data literacy, and the complexity of data analytics in the cloud can prevent organizations from making full use of their raw data.
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