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Azure Functions Tracing
Learn how to set up highlight.io tracing with Azure Functions.
1
Setup your frontend Highlight snippet with tracingOrigins.
Make sure that you followed the fullstack mapping guide.
H.init("<YOUR_PROJECT_ID>", {
tracingOrigins: ['localhost', 'example.myapp.com/backend'],
networkRecording: {
enabled: true,
recordHeadersAndBody: true,
},
});
2
Install the highlight-io python package.
Download the package from pypi and save it to your requirements. If you use a zip or s3 file upload to publish your function, you will want to make sure highlight-io
is part of the build.
poetry add highlight-io
# or with pip
pip install highlight-io
3
Initialize the Highlight SDK.
Setup the SDK. Add the @observe_handler
decorator to your azure functions.
import azure.functions as func
import highlight_io
from highlight_io.integrations.azure import observe_handler
# `instrument_logging=True` sets up logging instrumentation.
# if you do not want to send logs or are using `loguru`, pass `instrument_logging=False`
H = highlight_io.H(
"<YOUR_PROJECT_ID>",
instrument_logging=True,
service_name="my-app",
service_version="git-sha",
environment="production",
)
@observe_handler
def main(req: func.HttpRequest) -> func.HttpResponse:
return func.HttpResponse(
"This HTTP triggered function executed successfully.",
status_code=200,
)
4
Hit your Azure function.
Setup an HTTP trigger and visit your Azure function on the internet.
5
Verify your backend traces are being recorded.
Visit the highlight traces portal and check that backend traces are coming in.