6
Accessing the health of an HSP cluster
Hyper Scale-Out Platform Supporting and Troubleshooting
Monitoring the run state of HSP resources
The HSP software monitors and reports the run state of most resources in
the cluster and therefore is a critical property to monitor and understand.
The exception are racks, users, and virtual machine instances, which are
static resources and therefore have no run state.
The following table provides a summary of the run state properties, their
meaning, and a quick reference summary of the interface access/
commands:
Resource
Run state description
Access/command
cluster
Run state for a cluster can be:
• UP—cluster is up and fully functional.
• DOWN—cluster is offline. Client access to the
cluster is interrupted.
GUI
>
Cluster Properties
CLI
hspadm cluster list
API
GET https://<
cluster-ip
>/hspapi/v2/clusters/
list
node
Run state for a node can be:
• UP—node is up and fully functional.
• DOWN—node is offline, but no errors were
detected. When a node is DOWN, its disks
are also marked as DOWN. An administrator
might have shut down or rebooted the node.
If a node remains DOWN for more than 10
minutes and is not in maintenance mode, you
should ensure that the power cord and
network cables have not been disturbed and
that the node is powered on. Call support if
the node remains DOWN.
• ERROR—An unrecoverable node failure has
been detected. Customer support
intervention is required. An error severity
alert is raised.
GUI
Hardware
>
Nodes
CLI
hspadm node list
API
GET https://<
cluster-ip
>/hspapi/v2/nodes/
list
IP address
Run state for an IP address can be:
• UP—IP address is configured and ready to be
used for client connections.
• DOWN—IP address cannot be used for client
connections because it is not configured or
there is an internal issue with the IP that is
not allowing its use. Make sure there are no
other devices on the network using this IP
address.
GUI
>
IP Addresses
CLI
hspadm ip-address list
API
GET https://<
cluster-ip>
/
hspapi/v2//
hspapi/ip-addresses/list
Summary of Contents for Hyper Scale-Out
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