H.init("<YOUR_PROJECT_ID>", {
  tracingOrigins: ['localhost', 'example.myapp.com/backend'],
  networkRecording: {
    enabled: true,
    recordHeadersAndBody: true,
  },
});

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

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,
    )

Hit your Azure function.

Setup an HTTP trigger and visit your Azure function on the internet.

Verify your backend traces are being recorded.

Visit the highlight traces portal and check that backend traces are coming in.

AWS Lambda Django