Datadog Synthetic Monitoring Pricing: The Per-Test Trap

Datadog Synthetic Monitoring bills by individual test runs, meaning costs scale with the number of checks, execution frequency, and monitoring locations rather than simply the number of configured tests. At listed annual-commitment rates, the example of 25 API endpoints checked every two minutes from three locations produces 1.62 million monthly runs and an estimated $810 monthly charge, while eight browser journeys checked every five minutes from four locations add about $3,318 per month, totaling roughly $49,536 annually. The discussion argues that this model can make more frequent checks, broader geographic coverage, and additional monitoring flows increasingly expensive, particularly for browser tests. It suggests reducing expenses by assigning frequencies based on criticality, removing redundant checks, limiting locations to needed regions, and using annual commitments. It also presents OpenObserve as an alternative that includes synthetic monitoring within broader usage-based pricing, supports portable Playwright browser scripts, centralizes several check types and telemetry data, and offers private-location monitoring and configurable alerting.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.