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Monitor JupyterHub Health and Logs
The Jupyter monitoring capability in Pulse enables you to track component health, review system logs, and identify an issue across the JupyterHub service in real time.
This capability enables you to:
Monitor the status of the JupyterHub Server component.
Detect component failures early to maintain uptime.
Analyze JupyterHub logs to quickly troubleshoot issues.
Correlate logs across ClickHouse services to speed up troubleshooting.
Check JupyterHub Component Status
You can monitor the status of key JupyterHub components or services to ensure system stability.
In the Nodes > Summary page, check the status of the JupyterHubServer component.
For details, see Check Hadoop Service Status.
Check JupyterHub Component Log Data
You can analyze the JupyterHub logs in Pulse to troubleshoot errors, query failures, or performance bottlenecks.
Steps:
In the Logs > Application Logs.
On the Application Logs page, in the filters section, search for the keyword Jupyter_hub to check the JupyterHub component logs.
For details, see Troubleshoot Services Using Logs.
For additional help, contact www.acceldata.force.com OR call our service desk +1 844 9433282
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