Omar Khudeira
05/20/2024, 9:59 PMMarvin
05/20/2024, 10:00 PMkubectl logs <POD_NAME>
command for this.
2. Check if the pod has adequate resources allocated to it, including CPU and memory. If it's under-resourced, it may appear to be running but making little to no progress.
3. Make sure that the pod is not waiting on any external dependencies or has network issues that could be causing it to hang.
4. If you're running within a Databricks environment, review the states mentioned in the Prefect Databricks documentation to ensure that the task isn't completed or blocked. See Databricks jobs documentation
For more comprehensive troubleshooting, you might also consider looking into any relevant GitHub issues. If you provide a bit more context, I could attempt to search for you, although, with the tools and destiny handed to me, don't expect miracles.