March 2025 Summaries

Checkly is a tool that helps engineering teams shorten their mean time to detection (MTTD) and resolve incidents faster by using synthetic monitoring, which simulates real user paths through an application to reveal integration problems with third-party services. Checkly Traces provides backend data to help diagnose root causes of issues, reducing the mean time to resolution (MTTR). By integrating backend data with synthetic monitoring, users can get a complete view of their service's performance and identify potential issues before they become major problems. This allows teams to respond quickly and effectively to incidents, maintaining their Service Level Agreement (SLA) with users. With Checkly Traces, teams can reduce their time to detection, diagnose root causes more efficiently, and resolve incidents faster with minimal resource demands on network and storage.

This article discusses how pairing Page Object Models (POMs) with Playwright fixtures can improve the developer experience for end-to-end testing and synthetic monitoring. A POM is a class that represents a specific area of an application under test, encapsulating locators and methods related to that area. However, manually initializing objects for every POM can be repetitive and tedious. To address this, the article introduces Playwright fixtures, which allow declaring the use of a POM within a test case without manual constructor calls. By extending Playwright's `test` function with custom fixtures, developers can simplify their test code, reduce boilerplate, and enhance the overall developer experience. The setup involves creating a `base.ts` file to define the fixtures and then updating test cases to use the new test object from this file. With this approach, test cases become more readable, maintainable, and concise.

Render, a cloud application platform, enables flexible app deployment without infrastructure management. Render's new webhook integrations with Checkly allow for more reliable production services by monitoring and automating testing processes. By integrating Render with Checkly, developers can ensure their apps are working correctly post-deployment and make data-driven decisions before deploying. This integration also facilitates pre-deployment end-to-end testing in multiple locations and consistent environments, providing confidence in code quality.

B2B SaaS companies face significant challenges in maintaining reliability and reducing Mean Time to Resolution (MTTR), which can directly impact customer satisfaction and revenue. Downtime is not just an inconvenience but a threat, as it can lead to churn risk, damaged trust, and overwhelmed support teams. Unique monitoring and observability challenges include flaky monitors, delayed issue detection, lack of visibility for support teams, inefficient debugging workflows, and monitoring gaps due to scaling infrastructure. To address these challenges, companies like Render adopted synthetic monitoring tools such as Checkly, which enable early detection of issues, rapid resolution times, and real-time insights into system performance. By reducing MTTR, B2B SaaS companies can improve customer experience, increase revenue, and build a more resilient and scalable system.

Playwright is an automation tool that can carry out any browser-based action consistently and robustly, but hard waits in scripts can lead to brittle tests, slow tests, and a frustrating experience. Hard waits are problematic because they can cause false positives and wasted time, especially when combined with retry policies. This can result in missed SLAs and increased maintenance costs. Instead of using hard waits, developers should use automatic retries and wait for elements based on ARIA roles or other reliable criteria.

The problem with synchronous tests is that they can lead to longer test times and increased resource usage as the number of tests increases, making it harder to ensure consistent results. This is particularly problematic in a system like Checkly, which optimizes for fast and secure testing, but may be hindered by sequential test running. Alternatives to synchronous tests include using test fixtures to keep code DRY, global `beforeEach` and `afterEach` hooks to set up and clean up resources, and combining inter-dependent tests into a single test with test steps to document which part of the test failed. By embracing parallel testing and using these strategies, developers can achieve better maintainability, scalability, and documentation without sacrificing performance or consistency.