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Dynamic Cluster Lifecycle
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When Cluster Services Start on Compute Nodes
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When Cluster Services Stop on Compute Nodes
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When Cluster Services Start on Compute Nodes
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When Cluster Services Stop on Compute Nodes
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<li><a href="#common-issues">Common Issues</a></li>
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<li><a href="#testing-fence-operations">Testing Fence Operations</a></li>
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<li><a href="#gfs2-file-system-configuration">GFS2 File System Configuration</a></li>
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<li><a href="#dynamic-cluster-lifecycle">Dynamic Cluster Lifecycle</a></li>
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<li><a href="#references">References</a></li>
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<h2 id="background-pacemaker-and-corosync">Background: Pacemaker and Corosync</h2>
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<li><a href="https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/9/html/configuring_and_managing_high_availability_clusters/assembly_configuring-gfs2-in-a-cluster-configuring-and-managing-high-availability-clusters">Configuring a GFS2 File System in a Cluster</a></li>
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<h2 id="dynamic-cluster-lifecycle">Dynamic Cluster Lifecycle</h2>
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<p>Unlike traditional HA clusters that run continuously on all nodes, NNF manages Pacemaker cluster services dynamically on compute nodes based on workflow requirements. Cluster services run <strong>continuously on the Rabbit</strong> but are <strong>started and stopped dynamically on compute nodes</strong>.</p>
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<h3 id="when-cluster-services-start-on-compute-nodes">When Cluster Services Start on Compute Nodes</h3>
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<p>NNF software starts Pacemaker/Corosync cluster services on compute nodes when:</p>
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<li>A workflow requests GFS2 storage</li>
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<li>The NNF software provisions the GFS2 file system</li>
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<li>Compute nodes need to mount the shared storage</li>
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<p>At this point, cluster services are started on participating compute nodes, they join the Rabbit's cluster, fencing is enabled, and the GFS2 file system is mounted.</p>
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<blockquote>
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<p>See <a href="https://nearnodeflash.github.io/latest/guides/storage-profiles/readme/">Storage Profiles</a> for more information about how to start cluster services using the <code>PreActivate</code> command.</p>
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<h3 id="when-cluster-services-stop-on-compute-nodes">When Cluster Services Stop on Compute Nodes</h3>
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<p>When the GFS2 workflow completes:</p>
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<li>The GFS2 file system is unmounted from all compute nodes</li>
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<li>Storage resources are cleaned up</li>
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<li>Pacemaker/Corosync cluster services are stopped on compute nodes</li>
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<li>The Rabbit continues running cluster services</li>
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<p>See <a href="https://nearnodeflash.github.io/latest/guides/storage-profiles/readme/">Storage Profiles</a> for more information about how to stop cluster services using the <code>PostDeactivate</code> command.</p>
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<p>This dynamic lifecycle means:</p>
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<li><strong>Rabbit runs cluster services continuously</strong>: Always ready to accept compute nodes</li>
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<li><strong>Compute node services are transient</strong>: They run only for the duration of GFS2 workflows</li>
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<li><strong>Resource efficiency</strong>: Cluster overhead on compute nodes is incurred only when needed</li>
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<li><strong>Reduced complexity</strong>: No long-running cluster services to maintain on compute nodes between jobs</li>
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<p><strong>Note:</strong> The cluster configuration (node membership, quorum votes, STONITH resources) is set up during system provisioning and persists on all nodes. Only the cluster <em>services</em> on compute nodes are started and stopped dynamically.</p>
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<h2 id="references">References</h2>
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<li><a href="https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/9/html/configuring_and_managing_high_availability_clusters/">Red Hat: Configuring and Managing High Availability Clusters</a></li>

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