Based on the research, here's what you need to do to get detailed DLT logs showing up in the Prefect Cloud UI: 1. First, ensure you're using a logger within your task that's connected to Prefect's logging system:

python
from prefect import get_run_logger

@task
def your_dlt_task():
    logger = get_run_logger()
    # Use this logger for your DLT operations

2. Set the logging level to DEBUG either through: - Environment variable:

PREFECT_LOGGING_LEVEL=DEBUG

- Or using the Prefect CLI:

prefect config set PREFECT_LOGGING_LEVEL=DEBUG

3. If you're running in a distributed environment, check that your worker logs are properly configured and being forwarded. The logs need to make it from your worker to Prefect Cloud. 4. For the DLT pipeline specifically, you can configure its logging to use Prefect's logger:

python
import logging
from prefect import get_run_logger

@task
def your_dlt_task():
    logger = get_run_logger()
    
    # Configure DLT to use Prefect's logger
    dlt_logger = logging.getLogger('dlt')
    dlt_logger.handlers = logger.handlers
    dlt_logger.setLevel(logging.DEBUG)

Since you mentioned the logs appear locally but not in the Cloud UI, this suggests either: 1. A difference in logging levels between your local and cloud environments 2. Or an issue with log forwarding from your worker to Prefect Cloud You can verify the logging configuration is being picked up by checking the worker logs. If you don't see the logs there, the issue is likely in the worker configuration. If you see them in the worker logs but not in the UI, it's likely a forwarding issue. For more details on logging configuration and troubleshooting, you can refer to the logging customization documentation.

Based on the research and looking at similar issues, here are the most likely reasons why your logs are visible in the Docker container but not making it to the Prefect Cloud UI: 1. Network Connectivity Issues - The worker needs to be able to make outbound HTTPS connections to the Prefect Cloud API - Check if there are any firewall rules or network policies blocking outbound connections 2. API Authentication - Verify that your

PREFECT_API_KEY

environment variable in the Docker container is: - Present - Valid (not expired) - Has the correct permissions 3. Log Forwarding Configuration Check these settings in your worker environment:

python
   PREFECT_LOGGING_TO_API_ENABLED=true
   PREFECT_LOGGING_TO_API_BATCH_INTERVAL=2  # seconds
   PREFECT_LOGGING_TO_API_BATCH_SIZE=4000000

4. Worker Resource Constraints - If the worker is resource-constrained, it might be dropping logs before they can be forwarded - Check if increasing the Docker container's memory limit helps To troubleshoot: 1. First, verify API connectivity from within the container:

bash
   docker exec <containerId> curl -v <https://api.prefect.cloud/api/health>

2. Check the worker's environment variables:

bash
   docker exec <containerId> env | grep PREFECT

3. Look for specific API connection errors in the worker logs:

bash
   docker logs <containerId> 2>&1 | grep -i "error\|failed\|exception"

If you're still seeing issues, you might want to temporarily increase the logging level for the worker to DEBUG to get more detailed information about the log forwarding process:

bash
PREFECT_LOGGING_LEVEL=DEBUG

This will give you more visibility into exactly where the log forwarding process might be failing.