CHPC - Status Page

Experiencing partially degraded performance

Linux OS kernel vulnerability patching on CHPC clusters
IdentifiedDegraded performance
  • Another set of critical vulnerability patches requires updating OS kernel on CHPC Linux clusters. We will be starting rolling reboots of compute nodes momentarily that will update to the latest kernel. Unfortunately, just today another vulnerability has been found which does not have a patch, which means that another rolling reboot will be needed as soon as the patch is released. That is, there is a potential for two rolling reboots in the near future.

    This process will proceed as follows:

    • Compute nodes will be drained so they stop accepting new jobs. Running jobs will be allowed to finish normally.

    • Once a node is idle it will be rebooted onto the new kernel and go back into service automatically when it comes up.

    • Nodes still to be updated will show the drain reason "auto_kernel_update" in sinfo -R.

    • With fewer nodes accepting work, some jobs may wait in the queue longer than usual, especially large or long-walltime jobs.

    • To accelerate the rollong reboot process, guest, OSG and freecycle jobs may be cancelled.

    We thank you for your understanding in this difficult period of many newly discovered vulnerabilities. Contact helpdesk@chpc.utah.edu if you notice any irregularities.

    UTC
98.69% uptime

Homepage and documentation - Operational

100.0% uptime

Portal - Operational

100.0% uptime

License servers (commercial software) - Operational

99.98% uptime

Group- and project-specific websites (hosted on VMs) - Operational

92.13% uptime

Helpdesk platform - Operational

100.0% uptime

GitLab - Operational

100.0% uptime
100.0% uptime

HPC clusters - Degraded performance

100.0% uptime

Open OnDemand - Operational

99.97% uptime

Windows servers - Operational

100.0% uptime

Virtual machines (VMs) - Operational

100.0% uptime

Computational servers, independent of clusters - Operational

100.0% uptime

Storage systems - Operational

100.0% uptime

Data Transfer Nodes (DTNs) - Operational

100.0% uptime
99.91% uptime

HPC clusters - Degraded performance

99.81% uptime

Open OnDemand - Operational

100.0% uptime

Windows servers - Operational

99.63% uptime

Virtual machines (VMs) - Operational

100.0% uptime

Computational servers, independent of clusters - Operational

99.94% uptime

Storage systems - Operational

100.0% uptime

Data Transfer Nodes (DTNs) - Operational

100.0% uptime

Slack - Operational

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