# You can also instantiate the exporter directly if you have the environment variable Modify your code from the previous step based on the following code sample: import loggingįrom _exporter import AzureLogHandler We recommend using the connection string to instantiate the exporters that are used to send telemetry to Application Insights. Or you can specify it in an environment variable, APPLICATIONINSIGHTS_CONNECTION_STRING. Pass your connection string directly into the exporter. Enter a value: 24Įntering values is helpful for demonstration purposes, but we want to emit the log data to Azure Monitor.

A log entry is emitted for every entered value. The code continuously asks for a value to be entered.

Log telemetry, exception telemetry, event telemetryįirst, let's generate some local log data. OpenCensus maps the following exporters to the types of telemetry that you see in Azure Monitor. Use the following instructions to send these telemetry types via the three exporters. For more information on these telemetry types, see the Data platform overview. The SDK uses three Azure Monitor exporters to send different types of telemetry to Azure Monitor. Install the OpenCensus Azure Monitor exporters: python -m pip install opencensus-ext-azure Instrument with OpenCensus Python SDK with Azure Monitor exporters This article walks you through the process of setting up OpenCensus and Azure Monitor exporters for Python to send your monitoring data to Azure Monitor. By using Azure Monitor exporters, you can send this collected telemetry to Application Insights. OpenCensus is a set of open-source libraries to allow collection of distributed tracing, metrics, and logging telemetry. Transition to connection strings to take advantage of new capabilities. Instrumentation key ingestion will continue to work, but we'll no longer provide updates or support for the feature. On March 31, 2025, support for instrumentation key ingestion will end.

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