The scope of the thesis is to develop an extended error management system for JupyterHub deployed on Kubernetes that can automatically respond to and resolve specific unrecoverable system errors. The system will also integrate a logging mechanism that captures detailed error information, enabling the triggering of an alert system. This alert system will notify administrators of critical, system-level errors that cannot be resolved by the user or automatically by the system but need manual intervention. The student will familiarize himself with the JupyterHub stack, the basics of its deployment in Kubernetes, various configurations and external alerting tool. The student will also introduce a more user-friendly notifications that provide user with clearer error messages instead of the system-level errors. The output of the thesis is a functional implementation of an enhanced JupyterHub error management system, better user notification and the text of the thesis serving as the documentation.