1## Modify code
2 
3Make these necessary changes to the app.
4 
5- Install client library
6```
7pip install azure-monitor-opentelemetry
8```
9 
10- Configure the app to use Azure Monitor
11Python applications send telemetry via the logger class in Python standard library. Create a module that configures and creates a logger that can send telemetry.
12 
13```python
14import logging
15from azure.monitor.opentelemetry import configure_azure_monitor
16 
17configure_azure_monitor(
18    logger_name="<your_logger_namespace>"
19)
20logger = logging.getLogger("<your_logger_namespace>")
21```
22 
23> Note: since we modified the code of the app, it needs to be deployed to take effect.
24 
25## Configure App Insights connection string
26 
27The App Insights resource has a connection string. Add the connection string as an environment variable of the running app. You can use Azure CLI to query the connection string of the App Insights resource. See [scripts/appinsights.ps1] for what Azure CLI command to execute for querying the connection string.
28 
29After getting the connection string, set this environment variable with its value.
30 
31```
32"APPLICATIONINSIGHTS_CONNECTION_STRING={your_application_insights_connection_string}"
33```
34 
35If the app has IaC template such as Bicep or terraform files representing its cloud instance, this environment variable should be added to the IaC template to be applied in each deployment. Otherwise, use Azure CLI to manually apply the environment variable to the cloud instance of the app. See what Azure CLI command to execute for setting this environment variable.
36 
37## Send data
38 
39Create a logger that is configured to send telemetry.
40```python
41logger = logging.getLogger("<your_logger_namespace>")
42logger.setLevel(logging.INFO)
43```
44 
45Then send telemetry events by calling its logging methods.
46```python
47logger.info("info log")
48```
49