splunk-opentelemetry

import os from opentelemetry import trace from splunk_opentelemetry.instrumentation import SplunkOpenTelemetryConfigurator # Set required environment variables for the Splunk OTLP exporter # In a real application, these would typically be set in the shell or deployment config. # For a local OpenTelemetry Collector (e.g., Splunk Distribution of OpenTelemetry Collector), # the endpoint might be http://localhost:4318 for HTTP or http://localhost:4317 for gRPC. os.environ['OTEL_SERVICE_NAME'] = os.environ.get('OTEL_SERVICE_NAME', 'my-python-app') os.environ['OTEL_EXPORTER_OTLP_ENDPOINT'] = os.environ.get('OTEL_EXPORTER_OTLP_ENDPOINT', 'http://localhost:4318') os.environ['SPLUNK_ACCESS_TOKEN'] = os.environ.get('SPLUNK_ACCESS_TOKEN', 'YOUR_SPLUNK_ACCESS_TOKEN') # Only required if sending directly to Splunk HEC # Configure the OpenTelemetry SDK for Splunk Observability Cloud # This initializes the TracerProvider, MeterProvider, and sets up # the OTLP exporter with Splunk-specific resource attributes. # It reads configuration from environment variables. SplunkOpenTelemetryConfigurator().configure() # Get a tracer configured by the Splunk OpenTelemetry SDK tracer = trace.get_tracer(__name__) # Perform a simple operation within a trace with tracer.start_as_current_span("my-quickstart-operation") as span: print(f"Starting span: {span.name}") # Add an attribute to the span span.set_attribute("http.method", "GET") span.set_attribute("http.url", "/api/data") # Simulate some work import time time.sleep(0.1) with tracer.start_as_current_span("inner-work") as inner_span: print(f" Starting inner span: {inner_span.name}") inner_span.set_attribute("data.size", 1024) time.sleep(0.05) print(f" Finishing inner span: {inner_span.name}") print(f"Finishing span: {span.name}") print("\nTracing complete. Data should be sent to the configured OTLP endpoint.") print("Ensure an OpenTelemetry Collector or Splunk HEC is listening at the endpoint.")