azure-monitor-opentelemetry-py

from azure.identity import DefaultAzureCredential
from azure.monitor.opentelemetry import configure_azure_monitor
 
# Connection string identifies the App Insights resource (read from APPLICATIONINSIGHTS_CONNECTION_STRING env var).
# DefaultAzureCredential authenticates ingestion via Microsoft Entra ID (preferred over instrumentation-key-only auth).
configure_azure_monitor(
    credential=DefaultAzureCredential(),
)
 
# Your application code...

import os
from azure.monitor.opentelemetry import configure_azure_monitor
 
# Read the full connection string from the environment.
# Format: "InstrumentationKey=<key>;IngestionEndpoint=https://<id>.in.applicationinsights.azure.com/"
connection_string = os.environ["APPLICATIONINSIGHTS_CONNECTION_STRING"]
 
try:
    configure_azure_monitor(
        connection_string=connection_string,
    )
    # Your application code...
except Exception as exc:
    raise RuntimeError(f"Azure Monitor configuration failed: {exc}") from exc

from flask import Flask
from azure.monitor.opentelemetry import configure_azure_monitor
 
configure_azure_monitor()
 
app = Flask(__name__)
 
@app.route("/")
def hello():
    return "Hello, World!"
 
if __name__ == "__main__":
    app.run()

# settings.py
from azure.monitor.opentelemetry import configure_azure_monitor
 
configure_azure_monitor()
 
# Django settings...

from fastapi import FastAPI
from azure.monitor.opentelemetry import configure_azure_monitor
 
configure_azure_monitor()
 
app = FastAPI()
 
@app.get("/")
async def root():
    return {"message": "Hello World"}

from opentelemetry import trace
from azure.monitor.opentelemetry import configure_azure_monitor
 
configure_azure_monitor()
 
tracer = trace.get_tracer(__name__)
 
with tracer.start_as_current_span("my-operation") as span:
    span.set_attribute("custom.attribute", "value")
    # Do work...

from opentelemetry import metrics
from azure.monitor.opentelemetry import configure_azure_monitor
 
configure_azure_monitor()
 
meter = metrics.get_meter(__name__)
counter = meter.create_counter("my_counter")
 
counter.add(1, {"dimension": "value"})

import logging
from azure.monitor.opentelemetry import configure_azure_monitor
 
configure_azure_monitor()
 
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
 
logger.info("This will appear in Application Insights")
logger.error("Errors are captured too", exc_info=True)

from azure.monitor.opentelemetry import configure_azure_monitor
 
# Sample 10% of requests
configure_azure_monitor(
    sampling_ratio=0.1
)

from azure.monitor.opentelemetry import configure_azure_monitor
from opentelemetry.sdk.resources import Resource, SERVICE_NAME
 
configure_azure_monitor(
    resource=Resource.create({SERVICE_NAME: "my-service-name"})
)

from azure.monitor.opentelemetry import configure_azure_monitor
 
configure_azure_monitor(
    instrumentations=["flask", "requests"]  # Only enable these
)

from azure.monitor.opentelemetry import configure_azure_monitor
 
configure_azure_monitor(
    enable_live_metrics=True
)

from azure.monitor.opentelemetry import configure_azure_monitor
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
 
# Local dev: DefaultAzureCredential. In production, set AZURE_TOKEN_CREDENTIALS=prod or use a specific credential.
credential = DefaultAzureCredential()
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
 
configure_azure_monitor(
    credential=credential
)