sickn33/antigravity-awesome-skills/azure-monitor-opentelemetry-py

pip install azure-monitor-opentelemetry

APPLICATIONINSIGHTS_CONNECTION_STRING=InstrumentationKey=xxx;IngestionEndpoint=https://xxx.in.applicationinsights.azure.com/

from azure.monitor.opentelemetry import configure_azure_monitor
# One-line setup - reads connection string from environment
configure_azure_monitor()
# Your application code...

from azure.monitor.opentelemetry import configure_azure_monitor
configure_azure_monitor(
    connection_string="InstrumentationKey=xxx;IngestionEndpoint=https://xxx.in.applicationinsights.azure.com/"
)

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(
    instrumentation_options={"flask": {"enabled": False}}  # Disable Flask; others keep defaults
)

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
configure_azure_monitor(
    credential=DefaultAzureCredential()
)