Testing
Core Web Vitals are Google's three user-experience metrics that directly affect search ranking: Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and Interaction to Next Paint (INP). This guide covers how to measure them accurately, set up regression testing in CI, and correlate lab data with field
Testing
Cold starts are the single most complained-about characteristic of serverless functions. A Lambda that responds in 50ms warm can take 2–8 seconds cold. For user-facing APIs, this is the difference between acceptable and unusable. The problem is that cold starts are difficult to test systematically. They don&
Monitoring
Choosing a web monitoring platform depends heavily on your scale, technical requirements, and budget. Catchpoint, Pingdom, and Site24x7 all offer synthetic monitoring capabilities — but they serve very different audiences and use cases. This comparison covers the key differences across node networks, test types, pricing models, integrations, and the specific scenarios
Monitoring
Synthetic monitoring runs scripted tests against your applications and infrastructure on a continuous schedule — before real users encounter problems. Catchpoint's synthetic monitoring platform offers one of the most comprehensive test type libraries in the industry, running from over 2,500 nodes across backbone networks, last-mile ISPs, cloud
Monitoring
Synthetic monitoring tells you how your application performs under controlled conditions. Real User Monitoring (RUM) tells you how it performs for actual users — on their devices, on their networks, in their browsers. Catchpoint's RUM solution captures performance data from every real page view and surfaces the patterns that
Monitoring
Catchpoint is an enterprise-grade internet performance monitoring platform used by Fortune 500 companies to track application availability, performance, and user experience across global networks. If you're new to Catchpoint, the initial setup can feel overwhelming — there are dozens of node types, test configurations, and alerting options. This
E2E Testing
A test suite that takes 45 minutes to run is a test suite that developers ignore.
Testing
Optimizing PageSpeed without measuring is guesswork. This guide covers how to structure a test-driven approach to performance optimization: establish baselines, validate that changes actually improved things, and prevent regressions with CI integration. Why Testing Optimizations Matters Performance optimizations frequently backfire: * Adding lazy loading to the hero image (the LCP
Testing
GraphQL's flexibility is a double-edged sword. The same feature that lets clients fetch exactly what they need also lets an attacker craft a query that brings your server to its knees. The same resolver pattern that makes GraphQL elegant also creates N+1 query problems at scale.
Testing
Performance is a feature in games. A 60 FPS game feels completely different from the same game at 30 FPS.
Testing
pytest-xdist lets you run tests across multiple CPUs — or even multiple machines — without changing a single test.
Testing
Vitest runs tests in parallel using worker processes. How those workers are created — and how isolated they are from each other — determines your test suite's speed, stability, and compatibility with native modules. Vitest offers three pool types: threads, forks, and vmThreads. Knowing which to use can cut your