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vkcs 0.9.3 published on Tuesday, Apr 15, 2025 by vk-cs

vkcs.MlplatformJupyterhub

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vkcs 0.9.3 published on Tuesday, Apr 15, 2025 by vk-cs

    Manages a ML Platform JupyterHub resource.

    New since v0.6.0.

    Example Usage

    Coming soon!
    
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    package generated_program;
    
    import com.pulumi.Context;
    import com.pulumi.Pulumi;
    import com.pulumi.core.Output;
    import com.pulumi.vkcs.MlplatformJupyterhub;
    import com.pulumi.vkcs.MlplatformJupyterhubArgs;
    import com.pulumi.vkcs.inputs.MlplatformJupyterhubBootVolumeArgs;
    import com.pulumi.vkcs.inputs.MlplatformJupyterhubDataVolumeArgs;
    import com.pulumi.vkcs.inputs.MlplatformJupyterhubNetworkArgs;
    import java.util.List;
    import java.util.ArrayList;
    import java.util.Map;
    import java.io.File;
    import java.nio.file.Files;
    import java.nio.file.Paths;
    
    public class App {
        public static void main(String[] args) {
            Pulumi.run(App::stack);
        }
    
        public static void stack(Context ctx) {
            var jupyterhub = new MlplatformJupyterhub("jupyterhub", MlplatformJupyterhubArgs.builder()
                .adminName("admin")
                .adminPassword("Password!")
                .flavorId(data.vkcs_compute_flavor().basic().id())
                .availabilityZone("GZ1")
                .bootVolume(MlplatformJupyterhubBootVolumeArgs.builder()
                    .volume_type("ceph-ssd")
                    .build())
                .dataVolumes(            
                    MlplatformJupyterhubDataVolumeArgs.builder()
                        .size(60)
                        .volumeType("ceph-ssd")
                        .build(),
                    MlplatformJupyterhubDataVolumeArgs.builder()
                        .size(70)
                        .volumeType("ceph-ssd")
                        .build())
                .networks(MlplatformJupyterhubNetworkArgs.builder()
                    .networkId(vkcs_networking_network.app().id())
                    .build())
                .build());
    
        }
    }
    
    resources:
      jupyterhub:
        type: vkcs:MlplatformJupyterhub
        properties:
          adminName: admin
          adminPassword: Password!
          flavorId: ${data.vkcs_compute_flavor.basic.id}
          availabilityZone: GZ1
          bootVolume:
            volume_type: ceph-ssd
          dataVolumes:
            - size: 60
              volumeType: ceph-ssd
            - size: 70
              volumeType: ceph-ssd
          networks:
            - networkId: ${vkcs_networking_network.app.id}
    

    Create MlplatformJupyterhub Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new MlplatformJupyterhub(name: string, args: MlplatformJupyterhubArgs, opts?: CustomResourceOptions);
    @overload
    def MlplatformJupyterhub(resource_name: str,
                             args: MlplatformJupyterhubArgs,
                             opts: Optional[ResourceOptions] = None)
    
    @overload
    def MlplatformJupyterhub(resource_name: str,
                             opts: Optional[ResourceOptions] = None,
                             availability_zone: Optional[str] = None,
                             boot_volume: Optional[MlplatformJupyterhubBootVolumeArgs] = None,
                             data_volumes: Optional[Sequence[MlplatformJupyterhubDataVolumeArgs]] = None,
                             flavor_id: Optional[str] = None,
                             networks: Optional[Sequence[MlplatformJupyterhubNetworkArgs]] = None,
                             admin_name: Optional[str] = None,
                             admin_password: Optional[str] = None,
                             domain_name: Optional[str] = None,
                             name: Optional[str] = None,
                             region: Optional[str] = None,
                             s3fs_bucket: Optional[str] = None,
                             timeouts: Optional[MlplatformJupyterhubTimeoutsArgs] = None)
    func NewMlplatformJupyterhub(ctx *Context, name string, args MlplatformJupyterhubArgs, opts ...ResourceOption) (*MlplatformJupyterhub, error)
    public MlplatformJupyterhub(string name, MlplatformJupyterhubArgs args, CustomResourceOptions? opts = null)
    public MlplatformJupyterhub(String name, MlplatformJupyterhubArgs args)
    public MlplatformJupyterhub(String name, MlplatformJupyterhubArgs args, CustomResourceOptions options)
    
    type: vkcs:MlplatformJupyterhub
    properties: # The arguments to resource properties.
    options: # Bag of options to control resource's behavior.
    
    

    Parameters

    name string
    The unique name of the resource.
    args MlplatformJupyterhubArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args MlplatformJupyterhubArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args MlplatformJupyterhubArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args MlplatformJupyterhubArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args MlplatformJupyterhubArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var mlplatformJupyterhubResource = new Vkcs.MlplatformJupyterhub("mlplatformJupyterhubResource", new()
    {
        AvailabilityZone = "string",
        BootVolume = new Vkcs.Inputs.MlplatformJupyterhubBootVolumeArgs
        {
            VolumeType = "string",
            Name = "string",
            Size = 0,
            VolumeId = "string",
        },
        DataVolumes = new[]
        {
            new Vkcs.Inputs.MlplatformJupyterhubDataVolumeArgs
            {
                Size = 0,
                VolumeType = "string",
                Name = "string",
                VolumeId = "string",
            },
        },
        FlavorId = "string",
        Networks = new[]
        {
            new Vkcs.Inputs.MlplatformJupyterhubNetworkArgs
            {
                NetworkId = "string",
                IpPool = "string",
            },
        },
        AdminName = "string",
        AdminPassword = "string",
        DomainName = "string",
        Name = "string",
        Region = "string",
        S3fsBucket = "string",
        Timeouts = new Vkcs.Inputs.MlplatformJupyterhubTimeoutsArgs
        {
            Create = "string",
            Delete = "string",
            Update = "string",
        },
    });
    
    example, err := vkcs.NewMlplatformJupyterhub(ctx, "mlplatformJupyterhubResource", &vkcs.MlplatformJupyterhubArgs{
    	AvailabilityZone: pulumi.String("string"),
    	BootVolume: &vkcs.MlplatformJupyterhubBootVolumeArgs{
    		VolumeType: pulumi.String("string"),
    		Name:       pulumi.String("string"),
    		Size:       pulumi.Float64(0),
    		VolumeId:   pulumi.String("string"),
    	},
    	DataVolumes: vkcs.MlplatformJupyterhubDataVolumeArray{
    		&vkcs.MlplatformJupyterhubDataVolumeArgs{
    			Size:       pulumi.Float64(0),
    			VolumeType: pulumi.String("string"),
    			Name:       pulumi.String("string"),
    			VolumeId:   pulumi.String("string"),
    		},
    	},
    	FlavorId: pulumi.String("string"),
    	Networks: vkcs.MlplatformJupyterhubNetworkArray{
    		&vkcs.MlplatformJupyterhubNetworkArgs{
    			NetworkId: pulumi.String("string"),
    			IpPool:    pulumi.String("string"),
    		},
    	},
    	AdminName:     pulumi.String("string"),
    	AdminPassword: pulumi.String("string"),
    	DomainName:    pulumi.String("string"),
    	Name:          pulumi.String("string"),
    	Region:        pulumi.String("string"),
    	S3fsBucket:    pulumi.String("string"),
    	Timeouts: &vkcs.MlplatformJupyterhubTimeoutsArgs{
    		Create: pulumi.String("string"),
    		Delete: pulumi.String("string"),
    		Update: pulumi.String("string"),
    	},
    })
    
    var mlplatformJupyterhubResource = new MlplatformJupyterhub("mlplatformJupyterhubResource", MlplatformJupyterhubArgs.builder()
        .availabilityZone("string")
        .bootVolume(MlplatformJupyterhubBootVolumeArgs.builder()
            .volumeType("string")
            .name("string")
            .size(0)
            .volumeId("string")
            .build())
        .dataVolumes(MlplatformJupyterhubDataVolumeArgs.builder()
            .size(0)
            .volumeType("string")
            .name("string")
            .volumeId("string")
            .build())
        .flavorId("string")
        .networks(MlplatformJupyterhubNetworkArgs.builder()
            .networkId("string")
            .ipPool("string")
            .build())
        .adminName("string")
        .adminPassword("string")
        .domainName("string")
        .name("string")
        .region("string")
        .s3fsBucket("string")
        .timeouts(MlplatformJupyterhubTimeoutsArgs.builder()
            .create("string")
            .delete("string")
            .update("string")
            .build())
        .build());
    
    mlplatform_jupyterhub_resource = vkcs.MlplatformJupyterhub("mlplatformJupyterhubResource",
        availability_zone="string",
        boot_volume={
            "volume_type": "string",
            "name": "string",
            "size": 0,
            "volume_id": "string",
        },
        data_volumes=[{
            "size": 0,
            "volume_type": "string",
            "name": "string",
            "volume_id": "string",
        }],
        flavor_id="string",
        networks=[{
            "network_id": "string",
            "ip_pool": "string",
        }],
        admin_name="string",
        admin_password="string",
        domain_name="string",
        name="string",
        region="string",
        s3fs_bucket="string",
        timeouts={
            "create": "string",
            "delete": "string",
            "update": "string",
        })
    
    const mlplatformJupyterhubResource = new vkcs.MlplatformJupyterhub("mlplatformJupyterhubResource", {
        availabilityZone: "string",
        bootVolume: {
            volumeType: "string",
            name: "string",
            size: 0,
            volumeId: "string",
        },
        dataVolumes: [{
            size: 0,
            volumeType: "string",
            name: "string",
            volumeId: "string",
        }],
        flavorId: "string",
        networks: [{
            networkId: "string",
            ipPool: "string",
        }],
        adminName: "string",
        adminPassword: "string",
        domainName: "string",
        name: "string",
        region: "string",
        s3fsBucket: "string",
        timeouts: {
            create: "string",
            "delete": "string",
            update: "string",
        },
    });
    
    type: vkcs:MlplatformJupyterhub
    properties:
        adminName: string
        adminPassword: string
        availabilityZone: string
        bootVolume:
            name: string
            size: 0
            volumeId: string
            volumeType: string
        dataVolumes:
            - name: string
              size: 0
              volumeId: string
              volumeType: string
        domainName: string
        flavorId: string
        name: string
        networks:
            - ipPool: string
              networkId: string
        region: string
        s3fsBucket: string
        timeouts:
            create: string
            delete: string
            update: string
    

    MlplatformJupyterhub Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The MlplatformJupyterhub resource accepts the following input properties:

    AvailabilityZone string
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    BootVolume MlplatformJupyterhubBootVolume
    required → Instance's boot volume configuration
    DataVolumes List<MlplatformJupyterhubDataVolume>
    list → Instance's data volumes configuration
    FlavorId string
    required string → Flavor ID
    Networks List<MlplatformJupyterhubNetwork>
    list → Network configuration
    AdminName string
    optional string → JupyterHub admin name. Changing this creates a new resource
    AdminPassword string
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    DomainName string
    optional string → Domain name. Changing this creates a new resource
    Name string
    required string → Instance name. Changing this creates a new resource
    Region string
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    S3fsBucket string
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    Timeouts MlplatformJupyterhubTimeouts
    AvailabilityZone string
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    BootVolume MlplatformJupyterhubBootVolumeArgs
    required → Instance's boot volume configuration
    DataVolumes []MlplatformJupyterhubDataVolumeArgs
    list → Instance's data volumes configuration
    FlavorId string
    required string → Flavor ID
    Networks []MlplatformJupyterhubNetworkArgs
    list → Network configuration
    AdminName string
    optional string → JupyterHub admin name. Changing this creates a new resource
    AdminPassword string
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    DomainName string
    optional string → Domain name. Changing this creates a new resource
    Name string
    required string → Instance name. Changing this creates a new resource
    Region string
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    S3fsBucket string
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    Timeouts MlplatformJupyterhubTimeoutsArgs
    availabilityZone String
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    bootVolume MlplatformJupyterhubBootVolume
    required → Instance's boot volume configuration
    dataVolumes List<MlplatformJupyterhubDataVolume>
    list → Instance's data volumes configuration
    flavorId String
    required string → Flavor ID
    networks List<MlplatformJupyterhubNetwork>
    list → Network configuration
    adminName String
    optional string → JupyterHub admin name. Changing this creates a new resource
    adminPassword String
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    domainName String
    optional string → Domain name. Changing this creates a new resource
    name String
    required string → Instance name. Changing this creates a new resource
    region String
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    s3fsBucket String
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    timeouts MlplatformJupyterhubTimeouts
    availabilityZone string
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    bootVolume MlplatformJupyterhubBootVolume
    required → Instance's boot volume configuration
    dataVolumes MlplatformJupyterhubDataVolume[]
    list → Instance's data volumes configuration
    flavorId string
    required string → Flavor ID
    networks MlplatformJupyterhubNetwork[]
    list → Network configuration
    adminName string
    optional string → JupyterHub admin name. Changing this creates a new resource
    adminPassword string
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    domainName string
    optional string → Domain name. Changing this creates a new resource
    name string
    required string → Instance name. Changing this creates a new resource
    region string
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    s3fsBucket string
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    timeouts MlplatformJupyterhubTimeouts
    availability_zone str
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    boot_volume MlplatformJupyterhubBootVolumeArgs
    required → Instance's boot volume configuration
    data_volumes Sequence[MlplatformJupyterhubDataVolumeArgs]
    list → Instance's data volumes configuration
    flavor_id str
    required string → Flavor ID
    networks Sequence[MlplatformJupyterhubNetworkArgs]
    list → Network configuration
    admin_name str
    optional string → JupyterHub admin name. Changing this creates a new resource
    admin_password str
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    domain_name str
    optional string → Domain name. Changing this creates a new resource
    name str
    required string → Instance name. Changing this creates a new resource
    region str
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    s3fs_bucket str
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    timeouts MlplatformJupyterhubTimeoutsArgs
    availabilityZone String
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    bootVolume Property Map
    required → Instance's boot volume configuration
    dataVolumes List<Property Map>
    list → Instance's data volumes configuration
    flavorId String
    required string → Flavor ID
    networks List<Property Map>
    list → Network configuration
    adminName String
    optional string → JupyterHub admin name. Changing this creates a new resource
    adminPassword String
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    domainName String
    optional string → Domain name. Changing this creates a new resource
    name String
    required string → Instance name. Changing this creates a new resource
    region String
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    s3fsBucket String
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    timeouts Property Map

    Outputs

    All input properties are implicitly available as output properties. Additionally, the MlplatformJupyterhub resource produces the following output properties:

    CreatedAt string
    string → Creation timestamp
    DnsName string
    string → DNS name
    Id string
    The provider-assigned unique ID for this managed resource.
    PrivateIp string
    string → Private IP address
    CreatedAt string
    string → Creation timestamp
    DnsName string
    string → DNS name
    Id string
    The provider-assigned unique ID for this managed resource.
    PrivateIp string
    string → Private IP address
    createdAt String
    string → Creation timestamp
    dnsName String
    string → DNS name
    id String
    The provider-assigned unique ID for this managed resource.
    privateIp String
    string → Private IP address
    createdAt string
    string → Creation timestamp
    dnsName string
    string → DNS name
    id string
    The provider-assigned unique ID for this managed resource.
    privateIp string
    string → Private IP address
    created_at str
    string → Creation timestamp
    dns_name str
    string → DNS name
    id str
    The provider-assigned unique ID for this managed resource.
    private_ip str
    string → Private IP address
    createdAt String
    string → Creation timestamp
    dnsName String
    string → DNS name
    id String
    The provider-assigned unique ID for this managed resource.
    privateIp String
    string → Private IP address

    Look up Existing MlplatformJupyterhub Resource

    Get an existing MlplatformJupyterhub resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: MlplatformJupyterhubState, opts?: CustomResourceOptions): MlplatformJupyterhub
    @staticmethod
    def get(resource_name: str,
            id: str,
            opts: Optional[ResourceOptions] = None,
            admin_name: Optional[str] = None,
            admin_password: Optional[str] = None,
            availability_zone: Optional[str] = None,
            boot_volume: Optional[MlplatformJupyterhubBootVolumeArgs] = None,
            created_at: Optional[str] = None,
            data_volumes: Optional[Sequence[MlplatformJupyterhubDataVolumeArgs]] = None,
            dns_name: Optional[str] = None,
            domain_name: Optional[str] = None,
            flavor_id: Optional[str] = None,
            name: Optional[str] = None,
            networks: Optional[Sequence[MlplatformJupyterhubNetworkArgs]] = None,
            private_ip: Optional[str] = None,
            region: Optional[str] = None,
            s3fs_bucket: Optional[str] = None,
            timeouts: Optional[MlplatformJupyterhubTimeoutsArgs] = None) -> MlplatformJupyterhub
    func GetMlplatformJupyterhub(ctx *Context, name string, id IDInput, state *MlplatformJupyterhubState, opts ...ResourceOption) (*MlplatformJupyterhub, error)
    public static MlplatformJupyterhub Get(string name, Input<string> id, MlplatformJupyterhubState? state, CustomResourceOptions? opts = null)
    public static MlplatformJupyterhub get(String name, Output<String> id, MlplatformJupyterhubState state, CustomResourceOptions options)
    resources:  _:    type: vkcs:MlplatformJupyterhub    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    AdminName string
    optional string → JupyterHub admin name. Changing this creates a new resource
    AdminPassword string
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    AvailabilityZone string
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    BootVolume MlplatformJupyterhubBootVolume
    required → Instance's boot volume configuration
    CreatedAt string
    string → Creation timestamp
    DataVolumes List<MlplatformJupyterhubDataVolume>
    list → Instance's data volumes configuration
    DnsName string
    string → DNS name
    DomainName string
    optional string → Domain name. Changing this creates a new resource
    FlavorId string
    required string → Flavor ID
    Name string
    required string → Instance name. Changing this creates a new resource
    Networks List<MlplatformJupyterhubNetwork>
    list → Network configuration
    PrivateIp string
    string → Private IP address
    Region string
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    S3fsBucket string
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    Timeouts MlplatformJupyterhubTimeouts
    AdminName string
    optional string → JupyterHub admin name. Changing this creates a new resource
    AdminPassword string
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    AvailabilityZone string
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    BootVolume MlplatformJupyterhubBootVolumeArgs
    required → Instance's boot volume configuration
    CreatedAt string
    string → Creation timestamp
    DataVolumes []MlplatformJupyterhubDataVolumeArgs
    list → Instance's data volumes configuration
    DnsName string
    string → DNS name
    DomainName string
    optional string → Domain name. Changing this creates a new resource
    FlavorId string
    required string → Flavor ID
    Name string
    required string → Instance name. Changing this creates a new resource
    Networks []MlplatformJupyterhubNetworkArgs
    list → Network configuration
    PrivateIp string
    string → Private IP address
    Region string
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    S3fsBucket string
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    Timeouts MlplatformJupyterhubTimeoutsArgs
    adminName String
    optional string → JupyterHub admin name. Changing this creates a new resource
    adminPassword String
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    availabilityZone String
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    bootVolume MlplatformJupyterhubBootVolume
    required → Instance's boot volume configuration
    createdAt String
    string → Creation timestamp
    dataVolumes List<MlplatformJupyterhubDataVolume>
    list → Instance's data volumes configuration
    dnsName String
    string → DNS name
    domainName String
    optional string → Domain name. Changing this creates a new resource
    flavorId String
    required string → Flavor ID
    name String
    required string → Instance name. Changing this creates a new resource
    networks List<MlplatformJupyterhubNetwork>
    list → Network configuration
    privateIp String
    string → Private IP address
    region String
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    s3fsBucket String
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    timeouts MlplatformJupyterhubTimeouts
    adminName string
    optional string → JupyterHub admin name. Changing this creates a new resource
    adminPassword string
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    availabilityZone string
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    bootVolume MlplatformJupyterhubBootVolume
    required → Instance's boot volume configuration
    createdAt string
    string → Creation timestamp
    dataVolumes MlplatformJupyterhubDataVolume[]
    list → Instance's data volumes configuration
    dnsName string
    string → DNS name
    domainName string
    optional string → Domain name. Changing this creates a new resource
    flavorId string
    required string → Flavor ID
    name string
    required string → Instance name. Changing this creates a new resource
    networks MlplatformJupyterhubNetwork[]
    list → Network configuration
    privateIp string
    string → Private IP address
    region string
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    s3fsBucket string
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    timeouts MlplatformJupyterhubTimeouts
    admin_name str
    optional string → JupyterHub admin name. Changing this creates a new resource
    admin_password str
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    availability_zone str
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    boot_volume MlplatformJupyterhubBootVolumeArgs
    required → Instance's boot volume configuration
    created_at str
    string → Creation timestamp
    data_volumes Sequence[MlplatformJupyterhubDataVolumeArgs]
    list → Instance's data volumes configuration
    dns_name str
    string → DNS name
    domain_name str
    optional string → Domain name. Changing this creates a new resource
    flavor_id str
    required string → Flavor ID
    name str
    required string → Instance name. Changing this creates a new resource
    networks Sequence[MlplatformJupyterhubNetworkArgs]
    list → Network configuration
    private_ip str
    string → Private IP address
    region str
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    s3fs_bucket str
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    timeouts MlplatformJupyterhubTimeoutsArgs
    adminName String
    optional string → JupyterHub admin name. Changing this creates a new resource
    adminPassword String
    optional sensitive string → JupyterHub admin password. Changing this creates a new resource
    availabilityZone String
    required string → The availability zone in which to create the resource. Changing this creates a new resource
    bootVolume Property Map
    required → Instance's boot volume configuration
    createdAt String
    string → Creation timestamp
    dataVolumes List<Property Map>
    list → Instance's data volumes configuration
    dnsName String
    string → DNS name
    domainName String
    optional string → Domain name. Changing this creates a new resource
    flavorId String
    required string → Flavor ID
    name String
    required string → Instance name. Changing this creates a new resource
    networks List<Property Map>
    list → Network configuration
    privateIp String
    string → Private IP address
    region String
    optional string → The region in which ML Platform client is obtained, defaults to the provider's region.
    s3fsBucket String
    optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
    timeouts Property Map

    Supporting Types

    MlplatformJupyterhubBootVolume, MlplatformJupyterhubBootVolumeArgs

    VolumeType string
    required string → Type of the volume
    Name string
    read-only string → Name of the volume
    Size double
    optional number → Size of the volume
    VolumeId string
    read-only string → ID of the volume
    VolumeType string
    required string → Type of the volume
    Name string
    read-only string → Name of the volume
    Size float64
    optional number → Size of the volume
    VolumeId string
    read-only string → ID of the volume
    volumeType String
    required string → Type of the volume
    name String
    read-only string → Name of the volume
    size Double
    optional number → Size of the volume
    volumeId String
    read-only string → ID of the volume
    volumeType string
    required string → Type of the volume
    name string
    read-only string → Name of the volume
    size number
    optional number → Size of the volume
    volumeId string
    read-only string → ID of the volume
    volume_type str
    required string → Type of the volume
    name str
    read-only string → Name of the volume
    size float
    optional number → Size of the volume
    volume_id str
    read-only string → ID of the volume
    volumeType String
    required string → Type of the volume
    name String
    read-only string → Name of the volume
    size Number
    optional number → Size of the volume
    volumeId String
    read-only string → ID of the volume

    MlplatformJupyterhubDataVolume, MlplatformJupyterhubDataVolumeArgs

    Size double
    required number → Size of the volume
    VolumeType string
    required string → Type of the volume
    Name string
    read-only string → Name of the volume
    VolumeId string
    read-only string → ID of the volume
    Size float64
    required number → Size of the volume
    VolumeType string
    required string → Type of the volume
    Name string
    read-only string → Name of the volume
    VolumeId string
    read-only string → ID of the volume
    size Double
    required number → Size of the volume
    volumeType String
    required string → Type of the volume
    name String
    read-only string → Name of the volume
    volumeId String
    read-only string → ID of the volume
    size number
    required number → Size of the volume
    volumeType string
    required string → Type of the volume
    name string
    read-only string → Name of the volume
    volumeId string
    read-only string → ID of the volume
    size float
    required number → Size of the volume
    volume_type str
    required string → Type of the volume
    name str
    read-only string → Name of the volume
    volume_id str
    read-only string → ID of the volume
    size Number
    required number → Size of the volume
    volumeType String
    required string → Type of the volume
    name String
    read-only string → Name of the volume
    volumeId String
    read-only string → ID of the volume

    MlplatformJupyterhubNetwork, MlplatformJupyterhubNetworkArgs

    NetworkId string
    required string → ID of the network
    IpPool string
    optional string → ID of the ip pool
    NetworkId string
    required string → ID of the network
    IpPool string
    optional string → ID of the ip pool
    networkId String
    required string → ID of the network
    ipPool String
    optional string → ID of the ip pool
    networkId string
    required string → ID of the network
    ipPool string
    optional string → ID of the ip pool
    network_id str
    required string → ID of the network
    ip_pool str
    optional string → ID of the ip pool
    networkId String
    required string → ID of the network
    ipPool String
    optional string → ID of the ip pool

    MlplatformJupyterhubTimeouts, MlplatformJupyterhubTimeoutsArgs

    Create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    Update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    Update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).

    Import

    ML Platform JupyterHub instance can be imported using the id, e.g.

    $ pulumi import vkcs:index/mlplatformJupyterhub:MlplatformJupyterhub myjupyterhub 3a679dd9-0942-49b0-b233-95de5a5a9502
    

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    vkcs vk-cs/terraform-provider-vkcs
    License
    Notes
    This Pulumi package is based on the vkcs Terraform Provider.
    vkcs logo
    vkcs 0.9.3 published on Tuesday, Apr 15, 2025 by vk-cs