7 Best Synthetic Monitoring Tools for Engineering Teams
Blog post from New Relic
Synthetic monitoring uses scheduled automated checks to simulate user journeys and API activity, helping teams detect failures such as broken checkout flows before customers report them. The comparison evaluates tools by their support for uptime, browser, API, and multi-step transaction tests; correlation with application, log, and infrastructure telemetry; monitoring-as-code and CI/CD integration; and pricing approach, noting that downtime can impose substantial business costs. New Relic, Datadog, and Dynatrace position synthetics within broader observability platforms, with New Relic emphasizing unified telemetry, Datadog ecosystem integration, and Dynatrace automated root-cause analysis, while Checkly focuses on code-native Playwright testing in CI/CD. Site24x7 targets budget-conscious teams needing broad monitoring, Pingdom suits straightforward uptime and page-speed checks, and Catchpoint specializes in DNS, CDN, ISP, and network-performance visibility. The central choice is between standalone tools that confirm whether a service is functioning and full-stack platforms that connect failed checks to underlying causes, with global test locations, device coverage, real user monitoring, and performance breakdowns further improving incident detection and diagnosis.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Observability | 11 | 472 | 102 | 54 | -85% |
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