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Span Profiles Support for OpenTelemetry in Python

This package links OpenTelemetry tracing data with Pyroscope continuous profiling data, enabling you to correlate traces with performance profiles.

Reference: https://grafana.com/docs/pyroscope/latest/configure-client/trace-span-profiles/

Prerequisites

Installation

pip install pyroscope-otel

Pyroscope Configuration (Required)

Pyroscope must be configured before creating any spans. This is mandatory for all setups:

from pyroscope import configure as pyroscope_configure

# Local setup (default)
pyroscope_configure(
    app_name="my-app",
    server_address="http://localhost:4040",
    sample_rate=100,
)

# Grafana Cloud setup (uncomment and update with your credentials)
# pyroscope_configure(
#     app_name="my-app",
#     server_address="https://pyroscope-blocks-prod-us-central-1.grafana-cloud.com/prom/push",
#     auth_token="<your-grafana-cloud-token>",
#     basic_auth_username="<your-username>",  # Optional: username for basic auth (Grafana Cloud)
#     basic_auth_password="<your-password>",  # Optional: password for basic auth (Grafana Cloud)
#     sample_rate=100,
# )

How It Works & Span Attributes

The PyroscopeSpanProcessor automatically attaches the profile identifier (pyroscope.profile.id) as an attribute to the root span of each trace. This creates a direct link between traces and their corresponding performance profiles in Grafana Tempo, allowing you to navigate from any trace to the exact performance profile data for that transaction.

Manual Instrumentation

Configure OpenTelemetry explicitly (after Pyroscope is already configured):

from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from pyroscope.otel import PyroscopeSpanProcessor

# Configure OpenTelemetry
provider = TracerProvider()
provider.add_span_processor(PyroscopeSpanProcessor())

# TODO: Add your trace exporter configuration here
# (e.g., Grafana Tempo OTLP exporter, etc.)
# from opentelemetry.sdk.trace.export import BatchSpanProcessor
# provider.add_span_processor(BatchSpanProcessor(your_exporter))

trace.set_tracer_provider(provider)

# Use tracing in your application
tracer = trace.get_tracer(__name__)
with tracer.start_as_current_span("my_operation"):
    # Your code here
    pass

Automatic Instrumentation

When using auto-instrumentation (e.g., opentelemetry-distro), you must still register PyroscopeSpanProcessor manually (after Pyroscope is already configured):

from opentelemetry import trace
from pyroscope.otel import PyroscopeSpanProcessor

# After auto-instrumentation is initialized
provider = trace.get_tracer_provider()
provider.add_span_processor(PyroscopeSpanProcessor())

Note: Auto-instrumentation only handles OpenTelemetry setup. Pyroscope configuration is still required.

Grafana Cloud OpenTelemetry Exporter (Optional)

# OpenTelemetry exporter for Grafana Cloud / Grafana Tempo
# from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
#
# otlp_exporter = OTLPSpanExporter(
#     endpoint="<your-tempo-instance>.grafana.net:443",
#     headers=(("Authorization", "Bearer <your-grafana-cloud-token>"),),
# )
# provider.add_span_processor(BatchSpanProcessor(otlp_exporter))

Integration Checklist

  • ✅ Pyroscope configured with pyroscope_configure()
  • ✅ OpenTelemetry TracerProvider created
  • PyroscopeSpanProcessor registered with add_span_processor()
  • ✅ Trace exporter configured (Grafana Tempo, etc.)
  • ✅ Application instrumented with OpenTelemetry
  • ✅ Verify pyroscope.profile.id appears in span attributes in Grafana Tempo

Troubleshooting

Issue Solution
pyroscope.profile.id not in spans Ensure PyroscopeSpanProcessor was registered with add_span_processor()
Profiles not appearing in Pyroscope Verify pyroscope_configure() is called before creating spans
Traces not exporting Check trace exporter configuration and credentials
Auto-instrumentation not working Manually add PyroscopeSpanProcessor() after initializing the provider

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