Cluster ¶

class Cluster(TypedDict, closed=True):
    name: "str"
    """<p>The name that identifies the cluster.</p>"""
    id: "str"
    """<p>The generated unique ID of the cluster.</p>"""
    arn: "str"
    """<p>The unique Amazon Resource Name (ARN) of the cluster.</p>"""
    status: "capo_pcs.types.cluster_status.ClusterStatus"
    """<p>The provisioning status of the cluster.</p> <note> <p>The provisioning status doesn't indicate the overall health of the cluster.</p> </note> <important> <p>The resource enters the <code>SUSPENDING</code> and <code>SUSPENDED</code> states when the scheduler is beyond end of life and we have suspended the cluster. When in these states, you can't use the cluster. The cluster controller is down and all compute instances are terminated. The resources still count toward your service quotas. You can delete a resource if its status is <code>SUSPENDED</code>. For more information, see <a href="https://docs.aws.amazon.com/pcs/latest/userguide/slurm-versions_faq.html">Frequently asked questions about Slurm versions in PCS</a> in the <i>PCS User Guide</i>.</p> </important>"""
    created_at: "datetime.datetime"
    """<p>The date and time the resource was created.</p>"""
    modified_at: "datetime.datetime"
    """<p>The date and time the resource was modified.</p>"""
    scheduler: "capo_pcs.types.scheduler.Scheduler"
    size: "capo_pcs.types.size.Size"
    """<p>The size of the cluster.</p> <ul> <li> <p> <code>SMALL</code>: 32 compute nodes and 256 jobs</p> </li> <li> <p> <code>MEDIUM</code>: 512 compute nodes and 8192 jobs</p> </li> <li> <p> <code>LARGE</code>: 2048 compute nodes and 16,384 jobs</p> </li> </ul>"""
    slurm_configuration: NotRequired[
        "capo_pcs.types.cluster_slurm_configuration.ClusterSlurmConfiguration"
    ]
    """<p>Additional options related to the Slurm scheduler.</p>"""
    networking: "capo_pcs.types.networking.Networking"
    endpoints: NotRequired["capo_pcs.types.endpoints.Endpoints"]
    """<p>The list of endpoints available for interaction with the scheduler.</p>"""
    error_info: NotRequired["capo_pcs.types.error_info_list.ErrorInfoList"]
    """<p>The list of errors that occurred during cluster provisioning.</p>"""