HPE Cray EX systems are designed so that system management services (SMS) are fully resilient and that there is no single point of failure. The design of the system allows for resiliency in the following ways:
Kubernetes is designed to ensure that the wanted number of deployments of a micro-service are always running on one or more worker nodes. In addition, it ensures that if one worker node becomes unresponsive, the micro-services that were running on it are migrated to another NCN that is up and meets the requirements of those micro-services.
See Restore System Functionality if a Kubernetes Worker Node is Down for more information.
To increase the overall resiliency of system management services and software within the system, the following improvements were made:
dvs_generate_map, which improves boot resiliency at scale.In addition, the following general criteria describe the expected behavior of the system if a single Kubernetes node (master, worker, or storage) goes down temporarily:
Once a job has been launched and is executing on the compute plane, it is expected that it will continue to run without interruption during planned or unplanned outages characterized by the loss of an NCN master, worker, or storage node. Applications launched through PALS may show error messages and lost output if a worker node goes down during application runtime.
If an NCN worker node goes down, it will take between 4 and 5 minutes before most of the pods which had been running on the downed NCN will begin terminating. This is a predefined Kubernetes behavior, not something inherent to HPE Cray EX.
Within around 20 minutes or less, it should be possible to launch a job using a UAI or UAN after planned or unplanned outages characterized by the loss of an NCN master, worker, or storage node.
Within around 20 minutes or less, it should be possible to boot and configure compute nodes after planned or unplanned outages characterized by the loss of an NCN master, worker, or storage node.
At least three utility storage nodes provide persistent storage for the services running on the Kubernetes management nodes. When one of the utility storage nodes goes down, critical operations such as job launch, application run, or compute node boot are expected to continue to work.
Not all pods running on a downed NCN worker node are expected to migrate to a remaining NCN worker node. There are some pods which are configured with anti-affinity such that if the pod exists on another NCN worker node, it will not start another of those pods on that same NCN worker node. At this time, this mostly only applies to etcd clusters running in the cluster. It is optimal to have those pods balanced across the NCN worker nodes (and not have multiple etcd pods, from the same etcd cluster, running on the same NCN worker node). Thus, when an NCN worker node goes down, the etcd pods running on it will remain in terminated state and will not attempt to relocate to another NCN worker node. This should be fine as there should be at least two other etcd pods (from the cluster of 3) running on other NCN worker nodes. Additionally, any pods that are part of a stateful set will not migrate off a worker node when it goes down. Those are expected to stay on the node and also remain in the terminated state until the NCN worker nodes comes back up or unless deliberate action is taken to force that pod off the NCN worker node which is down.
After an NCN worker, storage, or master node goes down, if there are issues with launching a UAI session or booting compute nodes, that does not necessarily mean that the problem is due to a worker node being down. If possible, it is advised to also check the relevant “Compute Node Boot Troubleshooting Information” and User Access Service (specifically with respect to Troubleshoot UAS Issues) procedures. Those sections can give guidance around general known issues and how to troubleshoot them. For any customer support ticket opened on these issues, however, it would be an important piece of data to include in that ticket if the issue was encountered while one or more of the NCNs were down.
Though an effort was made to increase the number of pod replicas for services that were critical to system operations such as booting computes, launching jobs, and running applications across the compute plane, there are still some services that remain with single copies of their pods. In general, this does not result in a critical issue if these singleton pods are on an NCN worker node that goes down. Most micro-services should (after being terminated by Kubernetes), simply be rescheduled onto a remaining NCN worker node. That assumes that the remaining NCN worker nodes have sufficient resources available and meet the hardware/network requirements of the pods.
However, it is important to note that some pods, when running on a worker NCN that goes down, may require some manual intervention to be rescheduled. Note the workarounds in this section for such pods. Work is ongoing to correct these issues in a future release.
Nexus pod
Multi-Attach error for volume error that can be seen in the kubectl describe output for the pod that is trying to come up on the new node.To determine if this is happening, run the following:
kubectl get pods -n nexus | grep nexus
Describe the pod obtained in the previous step
kubectl describe pod -n nexus NEXUS_FULL_POD_NAME
If the event data at the bottom of the kubectl describe command output indicates that a Multi-Attach PVC error has occurred, then see the
Troubleshoot Pods Multi-Attach Error procedure to unmount the PVC. This will allow the Nexus pod to begin successfully
running on the new NCN worker node.
High-speed network resiliency after ncn-w001 goes down
The slingshot-fabric-manager pod running on one of NCNs does not rely on ncn-w001. If ncn-w001 goes down, the slingshot-fabric-manager pods should not be impacted as the pod is runs on other NCNs, such as ncn-w002.
The slingshot-fabric-manager pod relies on Kubernetes to launch the new pod on another NCN if the slingshot-fabric-manager pod is running on ncn-w001 when it is brought down.
Use the following command and check the NODE column to check which NCN the pod is running on:
kubectl get pod -n services -o wide | awk 'NR == 1 || /slingshot-fabric-manager/'
When the slingshot-fabric-manager pod goes down, the switches will continue to run. Even if the status of the switches changes, those changes will be picked up after the
slingshot-fabric-manager pod is brought back up and the sweeping process restarts.
The slingshot-fabric-manager relies on data in persistent storage. The data is persistent across upgrades but when the pods are deleted, the data is also deleted.
RTS fails to start after worker node is restarted
In a future release, strides will be made to further improve the resiliency of the system. These improvements may include one or more of the following: