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MonitoringFreeOpen Source
OPENTELEMETRY
The standard for cloud-native observability — traces, metrics, and logs
Apache-2.0
ABOUT
Every observability vendor and open-source project has its own instrumentation API, agent, and data format — making it costly to switch backends or run multiple tools simultaneously. OpenTelemetry provides a single, vendor-neutral set of APIs, SDKs, and protocols for collecting traces, metrics, and logs from applications. Once instrumented with OpenTelemetry, teams can export data to any compatible backend (Jaeger, Prometheus, Grafana, Datadog, etc.) without code changes.
INSTALL
pip install opentelemetry-api opentelemetry-sdkINTEGRATION GUIDE
1. Auto-instrument Python LLM applications to emit traces for every model call and agent step
2. Export metrics (latency, token counts, error rates) from inference servers to Prometheus
3. Build a unified observability pipeline for AI services that can route to multiple backends
4. Correlate LLM inference traces with infrastructure metrics in a single Grafana dashboard
5. Enable vendor-portable telemetry so teams can switch observability backends without reinstrumenting
TAGS
pythonobservabilitydistributed-tracingmetricsloggingtelemetrycncf