As a Jupyter hub administrator, I want to configure and enforce resource throttling (CPU, memory, and request rate) on a per-user basis across individual Jupyter hubs, So that I can prevent any single user from monopolizing shared resources

[AAshGray]

Acceptance Criteria

• GIVEN a Jupyter hub administrator needs to control resource usage WHEN throttling is configured for a hub THEN CPU, memory, network, and request rate limits can be set per user or user group independently on each hub.
• GIVEN a user exceeds their configured throttle limit WHEN the limit is breached THEN the user receives a clear in-app notification and a descriptive error message explaining the restriction.
• GIVEN throttling rules are defined for a hub WHEN the hub or user server restarts THEN all throttling configurations are automatically reloaded and enforced without manual intervention.
• GIVEN multiple hubs are running WHEN throttling is configured on one hub THEN the configuration has no effect on any other hub, ensuring per-hub isolation.

Technical Tasks

• • Research how to implement CPU and memory throttling for user servers in JupyterHub
• • Define appropriate throttling limits for CPU, memory, and network traffic for different user roles (Instructor/student)
• • Implement CPU and memory limits on users according to specified configurations
• • Determine how to show the user a throttle warning
• • Implement the throttle warning when a user excceeds limitations
• • Ensure throttling rules persist across hub restarts and are correctly re-applied when a user restarts their server
• • Test throttling using testing scripts to ensure that limits are being properly enforced and do not over-limit users under normal load

Story points: 13