How to track Webflow Cloud app metrics with Datadog Dashboards
Blog post from Webflow
Webflow Cloud Next.js applications can send server-side request, error, and latency metrics directly to Datadog through its v2 Series API using native fetch, avoiding the incompatible dd-trace library on Cloudflare Workers. The setup requires a Datadog API key, the correct regional Datadog site hostname, and environment variables configured both locally and in Webflow Cloud. A reusable metrics utility batches count and gauge series into one request and should be passed to Cloudflare’s ctx.waitUntil() so telemetry is allowed to finish without delaying responses or being canceled when a Worker invocation ends. Route Handlers can be instrumented directly with timing and try/catch/finally logic or wrapped in a shared helper that records route, HTTP method, status, environment, request duration, and server errors. Datadog Metrics Explorer can verify delivery, while a dashboard can visualize route-level request volume, errors, average latency, and busiest endpoints, supported by alerts for sustained latency increases. Common issues include missing API keys, sending data to the wrong Datadog region, insufficient route tags, canceled background requests, and attempting percentile analysis on gauge metrics, which requires distribution metrics and additional Datadog configuration.
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.