Kyle McChesney
10/03/2024, 7:39 PMMarvin
10/03/2024, 7:39 PMPREFECT_LOGGING_[PATH]_[TO]_[KEY]
, allowing you to customize logging paths and levels. For example, setting PREFECT_LOGGING_LEVEL="DEBUG"
changes the default logging to DEBUG level.
2. AWS CloudWatch Setup:
To integrate with AWS CloudWatch, you can use a custom Python logging handler that pushes logs to CloudWatch. You'll need to install the AWS SDK for Python (Boto3) and set up a CloudWatch log handler. Here's a basic example:
- Install Boto3:
shell
pip install boto3
- Create a CloudWatch log handler:
python
import logging
from watchtower import CloudWatchLogHandler
# Define the CloudWatch log handler
cloudwatch_handler = CloudWatchLogHandler(log_group="your-log-group-name")
cloudwatch_handler.setLevel(<http://logging.INFO|logging.INFO>)
3. Combine Handlers:
You can now set up a logger that logs to both the Prefect API and CloudWatch:
python
logger = logging.getLogger('prefect')
logger.setLevel(<http://logging.INFO|logging.INFO>)
# Add the CloudWatch handler
logger.addHandler(cloudwatch_handler)
# Prefect logger already configured, or configure another handler as required
By setting up the above configuration in your application or flow, logs will be sent to both endpoints.
References:
- Prefect 2.x Logging Documentation: https://docs-2.prefect.io/latest/guides/logs/
- Prefect 3.x Logging Documentation: https://docs-3.prefect.io/3.0/develop/logging
You'll need to ensure that your AWS credentials and permissions for CloudWatch are appropriately configured for the environment you are running the Prefect flows in.