Python Integration
Collect Python metrics and distributed traces with Guance DataKit in minutes. One-click setup, 30+ key metrics, full documentation.
The Guance Python integration auto-instruments Django, Flask, and FastAPI through the ddtrace-compatible or OpenTelemetry SDK: install the package, point the exporter at DataKit, and traces flow without touching application code. Existing Datadog instrumentations migrate by changing only environment variables — see the quickstart linked from the APM guide below.
Related guideAPM Monitoring: The Complete 2026 Guide→
| Spec | Detail |
|---|---|
| Collector | DataKit input ddtrace / otlp |
| Protocol | ddtrace-agent protocol or OTLP (traces) |
| Key metrics | RED per service, trace waterfalls, GIL-adjacent latency signals via span timing |
| Prerequisites | pip-install the tracing package; set DD_* or OTEL_* env vars to the DataKit endpoint |
| Dashboard | Pre-built Python dashboard, auto-installed on first data |
| Deep dive | APM Monitoring Guide |
Set up in minutes — install DataKit, enable the
ddtrace / otlpinput, and your first Python metrics appear in Guance within about a minute. Full field list and alert-rule templates live in the APM Monitoring Guide.
Related guideObservability Fundamentals: The 2026 Guide→
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