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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, }, });
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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
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# or with pip pip install highlight-io
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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, )
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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.