Synthetic Performance Monitoring
Blog post from Groundcover
Groundcover's Synthetic Performance Monitoring addresses the limitations of reactive monitoring by running scheduled checks that simulate real requests against endpoints, alerting teams immediately when issues occur, thereby eliminating blind spots such as low-traffic APIs and off-hours failures. Unlike traditional synthetic tools that operate from external data centers, groundcover's solution operates from within a user's own cloud environment, ensuring that monitoring can include internal services and that request data remains private. The system uses multi-layered assertion logic to detect issues beyond simple status codes, such as broken JSON bodies or slow response times, and integrates seamlessly with existing observability stacks by generating distributed traces alongside real application traces. This approach ensures comprehensive monitoring without additional licensing costs, as it is included in groundcover's Pro, Enterprise, and On-Prem plans, and allows users to quickly set up tests and route alerts through familiar channels like PagerDuty and Slack.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Observability | 4 | 3,204 | 716 | 172 | +14% |
| Kubernetes | 2 | 1,840 | 308 | 106 | +33% |
| OpenTelemetry | 1 | 622 | 137 | 51 | +51% |
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