Monitoring
Web performance monitoring tools have converged on similar feature sets at the surface level. Every major platform does uptime checks, transaction monitoring, and some form of alerting. The differences that matter for real teams are in the details: agent network coverage, transaction monitoring quality, load testing capability, and pricing transparency.
Monitoring
Synthetic monitoring runs scripted checks against your application continuously, simulating what real users do. The word "synthetic" distinguishes it from real user monitoring (RUM), which captures data from actual user sessions. Synthetic monitoring runs whether or not real users are active — it's the active probe, not
Performance Testing
Dotcom-Monitor has a lot of surface area. The platform covers uptime monitoring, full browser checks, transaction monitoring, and load testing — and the UI reflects all of that. If you try to understand everything before running your first check, you'll be reading documentation for an hour before monitoring
Monitoring
Choosing an APM platform is a multi-year commitment. The instrumentation goes deep into your application code, the dashboards become part of your team's daily workflow, and the price compounds as your infrastructure scales. Getting this wrong is expensive. This comparison covers Datadog, Dynatrace, New Relic, and AppDynamics
Monitoring
Synthetic monitoring runs scripted tests against your application on a schedule — whether or not any real user is currently visiting. It catches downtime, broken flows, and performance regressions before your users do. Datadog's synthetic monitoring combines API checks, browser automation, and a global network of test locations into
Monitoring
Application Performance Monitoring is not a luxury for production systems — it is the difference between knowing your service is slow and knowing why it is slow, which downstream call caused it, and which users were affected. Datadog APM gives you that visibility through distributed tracing, service maps, and anomaly-based
Monitoring
Synthetic monitoring is a crowded category. Checkly, Datadog Synthetics, Pingdom, and New Relic all run scheduled checks against your application and alert you when things break. The differences lie in depth, developer experience, pricing model, and how well synthetic monitoring integrates with everything else in your observability stack. This comparison
Monitoring
Synthetic monitoring means running scripted checks against your application on a schedule, from real locations around the world, before your users notice something is broken. Checkly is one of the most developer-friendly platforms for doing exactly that. This guide covers everything: what Checkly actually is, how it's
Monitoring
Ten minutes. That's genuinely how long it takes to go from zero to a running monitor in Checkly. This guide walks through every step: account setup, first API check, first browser check with Playwright, and alerts. No prerequisites except a browser and an endpoint to monitor. Step 1:
CI/CD
Checkly checks defined through the UI are fine for small setups. They break down when you have a team: no version control, no code review, no way to track what changed when, and manual effort to keep checks in sync with your application. The Checkly CLI solves this. You define
API Testing
Checkly's API checks are HTTP monitors with assertions. You send a request, define what "passing" looks like, and Checkly runs that check from global locations on a schedule. When an assertion fails, you get alerted. Simple premise, a lot of depth in the details. This guide
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