Checkly vs Dynatrace

Checkly is a synthetic monitoring platform from Berlin built on the idea of monitoring as code. Engineering teams write API checks and browser checks in JavaScript or TypeScript, using Playwright for browser flows, keep them in the same repository as the application, and deploy them with the Checkly CLI or Terraform.

The same checks run in CI against preview deployments before a release and then continuously from global locations after it, so a broken login or checkout flow is caught by a test first and by monitoring second. Assertions, retries, alert channels such as Slack, PagerDuty and email, multistep API checks and heartbeat monitors are available, and traces connect a failed check to backend spans through OpenTelemetry. A free Hobby plan includes a monthly quota of API and browser check runs; Starter and Team plans add runs, locations and collaboration, and Enterprise adds SSO and private locations inside your own network.

Checkly fits teams that already write Playwright tests and want one source of truth for end-to-end testing and production monitoring. It requires coding and is not a full observability suite, so it is a poor fit for non-technical teams who only want uptime pings. Better Stack and UptimeRobot are simpler for basic uptime and status pages, Datadog Synthetics suits teams already on Datadog, and Grafana Cloud offers synthetic monitoring inside its own stack.

Dynatrace is an enterprise observability platform that monitors applications, infrastructure, logs, user experience and runtime security from one data store. It began in 2005 as dynaTrace software in Linz, Austria, and has traded on the NYSE since 2019, with headquarters now in the United States. Its core job is pinpointing which service or dependency caused an incident.

The platform rests on OneAgent, a single agent that auto-instruments hosts, containers and code; Smartscape, a live dependency map; Grail, a data lakehouse queried with DQL; and a causal AI engine that groups alerts into root-cause problems. Pricing is a rate card drawn down from an annual commitment: about $29 per host per month for infrastructure monitoring, $58 per 8 GiB host for full-stack APM, plus usage fees for logs, traces and user sessions.

Dynatrace suits large enterprises with hybrid or Kubernetes estates that want automatic discovery and fewer noisy alerts. It is heavy for a startup with a few services, and the consumption model needs careful forecasting. Datadog is easier to adopt piecemeal, New Relic offers a free tier with user-based pricing, and Grafana Cloud suits teams that prefer open-source Prometheus and OpenTelemetry tooling.

In early 2026 Dynatrace launched Dynatrace Intelligence, which it calls an agentic operations system: it combines its deterministic causal AI with agents that can investigate and act within guardrails for SRE, development and security teams. Before buying, run the 15-day trial on a production-like cluster to estimate host-hours and log volume.