Dynatrace vs Checkly

From $58 per month per 8 GiB host (full-stack), or $0.01 per memory-GiB-hour

From $24 per month (Starter; Team is $64)

Consumption-based pricing across hosts, synthetic requests, RUM sessions and log volume, billed on memory rather than CPU — a large host costs proportionally more. Enterprise contracts are large.

Priced by check runs; browser checks cost more than API checks, and frequency multiplies the bill. Team at $64 adds 75 monitors, 30-second frequency, all 22 locations and private locations.

15-day trial.

Hobby: 10 uptime monitors, 10k API and 1k browser check runs a month across 6 locations.

Widely used

Dynatrace · since 2005

Widely used

Checkly · since 2018

• Automatic discovery and dependency mapping removes most manual instrumentation work.
• Davis root-cause analysis genuinely reduces alert noise in complex estates.
• Covers mainframe and SAP alongside cloud-native workloads.

• One Playwright script serves as both an E2E test and a production monitor.
• Monitoring-as-code fits GitOps workflows and code review.
• Excellent developer experience and clear, published pricing.

• Expensive, with consumption pricing that is hard to forecast.
• Heavy platform aimed at organisations with a dedicated operations function.
• Overkill for a straightforward web application.

• Playwright-centric; teams on other frameworks get less benefit.
• Browser checks at high frequency across many locations get expensive.
• Not a full observability platform — no APM or log management.

Large enterprises with complex hybrid estates and a dedicated SRE or operations team.

Engineering teams already using Playwright who want production journeys monitored.