JupyterHub

JupyterHub is a multi-user service that provides secure, centralized access to Jupyter environments. It enables teams to manage user authentication, isolate user workloads, and run Jupyter notebooks at scale from a shared infrastructure.

Observability with Pulse

Pulse provides JupyterHub observability by offering a unified platform to monitor user activity, system health, and resource utilization across JupyterHub deployments.

This capability enables you to:

Monitor JupyterHub system health and operational metrics in real time.
Track user activity, including active users and running notebook servers.
Analyze JupyterHub performance metrics such as CPU usage, memory consumption, and HTTP request durations.
Monitor server lifecycle metrics, including server startup, spawn, and stop durations.
Observe proxy and routing performance through proxy poll, add, delete, and route check duration metrics.
Detect performance anomalies and troubleshoot operational issues using Pulse charts and alerts.
Export metrics data and build custom dashboards for deeper analysis and continuous monitoring.

Before You Begin

To view the JupyterHub data in the Pulse UI, make sure you:

Configure Pulse to fetch and display the collected data.

For detailed setup instructions, see the following page:

Configure Pulse to Monitor JupyterHub

Explore in Detail

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