Operations | Monitoring | ITSM | DevOps | Cloud

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.

In software testing or platform engineering, having realistic data is crucial. For years, teams have relied on Test Data Management (TDM) to copy entire production databases, scrub any sensitive information, and then spin up test environments from these sanitized data sets. While TDM gets the job done, it can be costly, time-consuming, and can quickly become outdated.

APIs often represent the cutting edge of the technology space. This is especially true with Artificial Intelligence – as AI has evolved from speculative technology to mass adoption, it has shown up significantly in APIs as a modality and mechanism. However, as with all new technologies, using AI APIs comes with significant challenges.

With Render’s announcement this week of their new webhook integrations triggered by Render events, I wanted to explore how the integration between Render and Checkly can help ensure more reliable production services for your users. Render is a cloud application platform that enables developers to deploy and scale their apps without needing to manage infrastructure.

For B2B SaaS companies, downtime isn’t just an inconvenience—it’s a direct threat to customer satisfaction and revenue. Unlike consumer applications, they serve a mix of power users pushing the system to its limits and new users expecting a seamless experience from day one. Reliability isn’t just about keeping services online—it’s about ensuring every user interaction runs smoothly. A minor hiccup for one customer might be a major disruption for another.

Monitoring your infrastructure shouldn’t be a shot in the dark. The Prometheus API helps you pull the right metrics so you actually know what’s going on. Whether you’re just getting started or trying to make sense of your current setup, this guide breaks down how to use the API to get the answers you need—without the guesswork.

We are thrilled to announce a major release of our SSIS Data Flow Components, powerful tools designed to simplify the ETL process within SQL Server Integration Services (SSIS) packages. This update brings significant enhancements, including improved performance, support for new server versions and APIs, and the addition of new objects and properties to existing components.

Playwright isn’t a testing framework. Sure it’s got assertions, scripted behaviors, even controls over environments. But testing isn’t Playwright’s only purpose. Playwright is an automation tool. It can carry out any browser-based action consistently, and carry out instructions robustly. Locators for buttons and other elements aren’t visual or CSS class-based, but based on ARIA role, and even small styling changes won’t make the scripted action fail.