Worked on improving the reliability and diagnosability of the Podman installation workflow within the containers/podman-compose repository. Focused on enhancing error messaging for installation probe failures, the work aimed to make troubleshooting clearer and reduce the time required for investigation. Utilized Python scripting to refine error handling and logging, ensuring that failure points during installation are now more transparent to users and maintainers. This targeted bug fix contributes to a smoother onboarding process and greater stability in container orchestration environments. The approach emphasized clarity in diagnostics, leveraging Python’s robust error handling capabilities to address a specific pain point in the workflow.