vkcs 0.9.3, Apr 15 25

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

vkcs.MlplatformMlflow

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

Example Usage

TypeScript
Python
Go
C#
Java
YAML

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package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.vkcs.MlplatformMlflow;
import com.pulumi.vkcs.MlplatformMlflowArgs;
import com.pulumi.vkcs.inputs.MlplatformMlflowBootVolumeArgs;
import com.pulumi.vkcs.inputs.MlplatformMlflowDataVolumeArgs;
import com.pulumi.vkcs.inputs.MlplatformMlflowNetworkArgs;
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 mlflow = new MlplatformMlflow("mlflow", MlplatformMlflowArgs.builder()
            .flavorId(data.vkcs_compute_flavor().basic().id())
            .jhInstanceId(vkcs_mlplatform_jupyterhub.jupyterhub().id())
            .demoMode(true)
            .availabilityZone("GZ1")
            .bootVolume(MlplatformMlflowBootVolumeArgs.builder()
                .size(50)
                .volume_type("ceph-ssd")
                .build())
            .dataVolumes(MlplatformMlflowDataVolumeArgs.builder()
                .size(60)
                .volumeType("ceph-ssd")
                .build())
            .networks(MlplatformMlflowNetworkArgs.builder()
                .networkId(vkcs_networking_network.app().id())
                .build())
            .build());

    }
}

resources:
  mlflow:
    type: vkcs:MlplatformMlflow
    properties:
      flavorId: ${data.vkcs_compute_flavor.basic.id}
      jhInstanceId: ${vkcs_mlplatform_jupyterhub.jupyterhub.id}
      demoMode: true
      availabilityZone: GZ1
      bootVolume:
        size: 50
        volume_type: ceph-ssd
      dataVolumes:
        - size: 60
          volumeType: ceph-ssd
      networks:
        - networkId: ${vkcs_networking_network.app.id}

Create MlplatformMlflow Resource

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

new MlplatformMlflow(name: string, args: MlplatformMlflowArgs, opts?: CustomResourceOptions);

@overload
def MlplatformMlflow(resource_name: str,
                     args: MlplatformMlflowArgs,
                     opts: Optional[ResourceOptions] = None)

@overload
def MlplatformMlflow(resource_name: str,
                     opts: Optional[ResourceOptions] = None,
                     availability_zone: Optional[str] = None,
                     boot_volume: Optional[MlplatformMlflowBootVolumeArgs] = None,
                     flavor_id: Optional[str] = None,
                     jh_instance_id: Optional[str] = None,
                     networks: Optional[Sequence[MlplatformMlflowNetworkArgs]] = None,
                     data_volumes: Optional[Sequence[MlplatformMlflowDataVolumeArgs]] = None,
                     demo_mode: Optional[bool] = None,
                     name: Optional[str] = None,
                     region: Optional[str] = None,
                     timeouts: Optional[MlplatformMlflowTimeoutsArgs] = None)

func NewMlplatformMlflow(ctx *Context, name string, args MlplatformMlflowArgs, opts ...ResourceOption) (*MlplatformMlflow, error)

public MlplatformMlflow(string name, MlplatformMlflowArgs args, CustomResourceOptions? opts = null)

public MlplatformMlflow(String name, MlplatformMlflowArgs args)
public MlplatformMlflow(String name, MlplatformMlflowArgs args, CustomResourceOptions options)

type: vkcs:MlplatformMlflow
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 MlplatformMlflowArgs: 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 MlplatformMlflowArgs: 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 MlplatformMlflowArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args MlplatformMlflowArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args MlplatformMlflowArgs: 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.

TypeScript
Python
Go
C#
Java
YAML

var mlplatformMlflowResource = new Vkcs.MlplatformMlflow("mlplatformMlflowResource", new()
{
    AvailabilityZone = "string",
    BootVolume = new Vkcs.Inputs.MlplatformMlflowBootVolumeArgs
    {
        VolumeType = "string",
        Name = "string",
        Size = 0,
        VolumeId = "string",
    },
    FlavorId = "string",
    JhInstanceId = "string",
    Networks = new[]
    {
        new Vkcs.Inputs.MlplatformMlflowNetworkArgs
        {
            NetworkId = "string",
            IpPool = "string",
        },
    },
    DataVolumes = new[]
    {
        new Vkcs.Inputs.MlplatformMlflowDataVolumeArgs
        {
            Size = 0,
            VolumeType = "string",
            Name = "string",
            VolumeId = "string",
        },
    },
    DemoMode = false,
    Name = "string",
    Region = "string",
    Timeouts = new Vkcs.Inputs.MlplatformMlflowTimeoutsArgs
    {
        Create = "string",
        Delete = "string",
        Update = "string",
    },
});

example, err := vkcs.NewMlplatformMlflow(ctx, "mlplatformMlflowResource", &vkcs.MlplatformMlflowArgs{
AvailabilityZone: pulumi.String("string"),
BootVolume: &.MlplatformMlflowBootVolumeArgs{
VolumeType: pulumi.String("string"),
Name: pulumi.String("string"),
Size: pulumi.Float64(0),
VolumeId: pulumi.String("string"),
},
FlavorId: pulumi.String("string"),
JhInstanceId: pulumi.String("string"),
Networks: .MlplatformMlflowNetworkArray{
&.MlplatformMlflowNetworkArgs{
NetworkId: pulumi.String("string"),
IpPool: pulumi.String("string"),
},
},
DataVolumes: .MlplatformMlflowDataVolumeArray{
&.MlplatformMlflowDataVolumeArgs{
Size: pulumi.Float64(0),
VolumeType: pulumi.String("string"),
Name: pulumi.String("string"),
VolumeId: pulumi.String("string"),
},
},
DemoMode: pulumi.Bool(false),
Name: pulumi.String("string"),
Region: pulumi.String("string"),
Timeouts: &.MlplatformMlflowTimeoutsArgs{
Create: pulumi.String("string"),
Delete: pulumi.String("string"),
Update: pulumi.String("string"),
},
})

var mlplatformMlflowResource = new MlplatformMlflow("mlplatformMlflowResource", MlplatformMlflowArgs.builder()
    .availabilityZone("string")
    .bootVolume(MlplatformMlflowBootVolumeArgs.builder()
        .volumeType("string")
        .name("string")
        .size(0)
        .volumeId("string")
        .build())
    .flavorId("string")
    .jhInstanceId("string")
    .networks(MlplatformMlflowNetworkArgs.builder()
        .networkId("string")
        .ipPool("string")
        .build())
    .dataVolumes(MlplatformMlflowDataVolumeArgs.builder()
        .size(0)
        .volumeType("string")
        .name("string")
        .volumeId("string")
        .build())
    .demoMode(false)
    .name("string")
    .region("string")
    .timeouts(MlplatformMlflowTimeoutsArgs.builder()
        .create("string")
        .delete("string")
        .update("string")
        .build())
    .build());

mlplatform_mlflow_resource = vkcs.MlplatformMlflow("mlplatformMlflowResource",
    availability_zone="string",
    boot_volume={
        "volume_type": "string",
        "name": "string",
        "size": 0,
        "volume_id": "string",
    },
    flavor_id="string",
    jh_instance_id="string",
    networks=[{
        "network_id": "string",
        "ip_pool": "string",
    }],
    data_volumes=[{
        "size": 0,
        "volume_type": "string",
        "name": "string",
        "volume_id": "string",
    }],
    demo_mode=False,
    name="string",
    region="string",
    timeouts={
        "create": "string",
        "delete": "string",
        "update": "string",
    })

const mlplatformMlflowResource = new vkcs.MlplatformMlflow("mlplatformMlflowResource", {
    availabilityZone: "string",
    bootVolume: {
        volumeType: "string",
        name: "string",
        size: 0,
        volumeId: "string",
    },
    flavorId: "string",
    jhInstanceId: "string",
    networks: [{
        networkId: "string",
        ipPool: "string",
    }],
    dataVolumes: [{
        size: 0,
        volumeType: "string",
        name: "string",
        volumeId: "string",
    }],
    demoMode: false,
    name: "string",
    region: "string",
    timeouts: {
        create: "string",
        "delete": "string",
        update: "string",
    },
});

type: vkcs:MlplatformMlflow
properties:
    availabilityZone: string
    bootVolume:
        name: string
        size: 0
        volumeId: string
        volumeType: string
    dataVolumes:
        - name: string
          size: 0
          volumeId: string
          volumeType: string
    demoMode: false
    flavorId: string
    jhInstanceId: string
    name: string
    networks:
        - ipPool: string
          networkId: string
    region: string
    timeouts:
        create: string
        delete: string
        update: string

MlplatformMlflow 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 MlplatformMlflow 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 MlplatformMlflowBootVolume: required → Instance's boot volume configuration
FlavorId string: required string → Flavor ID
JhInstanceId string: required string → JupyterHub instance ID
Networks List<MlplatformMlflowNetwork>: list → Network configuration
DataVolumes List<MlplatformMlflowDataVolume>: list → Instance's data volumes configuration
DemoMode bool: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
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.
Timeouts MlplatformMlflowTimeouts

AvailabilityZone string: required string → The availability zone in which to create the resource. Changing this creates a new resource
BootVolume MlplatformMlflowBootVolumeArgs: required → Instance's boot volume configuration
FlavorId string: required string → Flavor ID
JhInstanceId string: required string → JupyterHub instance ID
Networks []MlplatformMlflowNetworkArgs: list → Network configuration
DataVolumes []MlplatformMlflowDataVolumeArgs: list → Instance's data volumes configuration
DemoMode bool: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
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.
Timeouts MlplatformMlflowTimeoutsArgs

availabilityZone String: required string → The availability zone in which to create the resource. Changing this creates a new resource
bootVolume MlplatformMlflowBootVolume: required → Instance's boot volume configuration
flavorId String: required string → Flavor ID
jhInstanceId String: required string → JupyterHub instance ID
networks List<MlplatformMlflowNetwork>: list → Network configuration
dataVolumes List<MlplatformMlflowDataVolume>: list → Instance's data volumes configuration
demoMode Boolean: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
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.
timeouts MlplatformMlflowTimeouts

availabilityZone string: required string → The availability zone in which to create the resource. Changing this creates a new resource
bootVolume MlplatformMlflowBootVolume: required → Instance's boot volume configuration
flavorId string: required string → Flavor ID
jhInstanceId string: required string → JupyterHub instance ID
networks MlplatformMlflowNetwork[]: list → Network configuration
dataVolumes MlplatformMlflowDataVolume[]: list → Instance's data volumes configuration
demoMode boolean: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
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.
timeouts MlplatformMlflowTimeouts

availability_zone str: required string → The availability zone in which to create the resource. Changing this creates a new resource
boot_volume MlplatformMlflowBootVolumeArgs: required → Instance's boot volume configuration
flavor_id str: required string → Flavor ID
jh_instance_id str: required string → JupyterHub instance ID
networks Sequence[MlplatformMlflowNetworkArgs]: list → Network configuration
data_volumes Sequence[MlplatformMlflowDataVolumeArgs]: list → Instance's data volumes configuration
demo_mode bool: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
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.
timeouts MlplatformMlflowTimeoutsArgs

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
flavorId String: required string → Flavor ID
jhInstanceId String: required string → JupyterHub instance ID
networks List<Property Map>: list → Network configuration
dataVolumes List<Property Map>: list → Instance's data volumes configuration
demoMode Boolean: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
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.
timeouts Property Map

Outputs

All input properties are implicitly available as output properties. Additionally, the MlplatformMlflow 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 MlplatformMlflow Resource

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

TypeScript
Python
Go
C#
Java
YAML

public static get(name: string, id: Input<ID>, state?: MlplatformMlflowState, opts?: CustomResourceOptions): MlplatformMlflow

@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        availability_zone: Optional[str] = None,
        boot_volume: Optional[MlplatformMlflowBootVolumeArgs] = None,
        created_at: Optional[str] = None,
        data_volumes: Optional[Sequence[MlplatformMlflowDataVolumeArgs]] = None,
        demo_mode: Optional[bool] = None,
        dns_name: Optional[str] = None,
        flavor_id: Optional[str] = None,
        jh_instance_id: Optional[str] = None,
        name: Optional[str] = None,
        networks: Optional[Sequence[MlplatformMlflowNetworkArgs]] = None,
        private_ip: Optional[str] = None,
        region: Optional[str] = None,
        timeouts: Optional[MlplatformMlflowTimeoutsArgs] = None) -> MlplatformMlflow

func GetMlplatformMlflow(ctx *Context, name string, id IDInput, state *MlplatformMlflowState, opts ...ResourceOption) (*MlplatformMlflow, error)

public static MlplatformMlflow Get(string name, Input<string> id, MlplatformMlflowState? state, CustomResourceOptions? opts = null)

public static MlplatformMlflow get(String name, Output<String> id, MlplatformMlflowState state, CustomResourceOptions options)

resources:  _:    type: vkcs:MlplatformMlflow    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:

AvailabilityZone string: required string → The availability zone in which to create the resource. Changing this creates a new resource
BootVolume MlplatformMlflowBootVolume: required → Instance's boot volume configuration
CreatedAt string: string → Creation timestamp
DataVolumes List<MlplatformMlflowDataVolume>: list → Instance's data volumes configuration
DemoMode bool: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
DnsName string: string → DNS name
FlavorId string: required string → Flavor ID
JhInstanceId string: required string → JupyterHub instance ID
Name string: required string → Instance name. Changing this creates a new resource
Networks List<MlplatformMlflowNetwork>: 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.
Timeouts MlplatformMlflowTimeouts

AvailabilityZone string: required string → The availability zone in which to create the resource. Changing this creates a new resource
BootVolume MlplatformMlflowBootVolumeArgs: required → Instance's boot volume configuration
CreatedAt string: string → Creation timestamp
DataVolumes []MlplatformMlflowDataVolumeArgs: list → Instance's data volumes configuration
DemoMode bool: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
DnsName string: string → DNS name
FlavorId string: required string → Flavor ID
JhInstanceId string: required string → JupyterHub instance ID
Name string: required string → Instance name. Changing this creates a new resource
Networks []MlplatformMlflowNetworkArgs: 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.
Timeouts MlplatformMlflowTimeoutsArgs

availabilityZone String: required string → The availability zone in which to create the resource. Changing this creates a new resource
bootVolume MlplatformMlflowBootVolume: required → Instance's boot volume configuration
createdAt String: string → Creation timestamp
dataVolumes List<MlplatformMlflowDataVolume>: list → Instance's data volumes configuration
demoMode Boolean: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
dnsName String: string → DNS name
flavorId String: required string → Flavor ID
jhInstanceId String: required string → JupyterHub instance ID
name String: required string → Instance name. Changing this creates a new resource
networks List<MlplatformMlflowNetwork>: 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.
timeouts MlplatformMlflowTimeouts

availabilityZone string: required string → The availability zone in which to create the resource. Changing this creates a new resource
bootVolume MlplatformMlflowBootVolume: required → Instance's boot volume configuration
createdAt string: string → Creation timestamp
dataVolumes MlplatformMlflowDataVolume[]: list → Instance's data volumes configuration
demoMode boolean: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
dnsName string: string → DNS name
flavorId string: required string → Flavor ID
jhInstanceId string: required string → JupyterHub instance ID
name string: required string → Instance name. Changing this creates a new resource
networks MlplatformMlflowNetwork[]: 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.
timeouts MlplatformMlflowTimeouts

availability_zone str: required string → The availability zone in which to create the resource. Changing this creates a new resource
boot_volume MlplatformMlflowBootVolumeArgs: required → Instance's boot volume configuration
created_at str: string → Creation timestamp
data_volumes Sequence[MlplatformMlflowDataVolumeArgs]: list → Instance's data volumes configuration
demo_mode bool: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
dns_name str: string → DNS name
flavor_id str: required string → Flavor ID
jh_instance_id str: required string → JupyterHub instance ID
name str: required string → Instance name. Changing this creates a new resource
networks Sequence[MlplatformMlflowNetworkArgs]: 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.
timeouts MlplatformMlflowTimeoutsArgs

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
demoMode Boolean: optional boolean → Controls whether demo mode is enabled. If true, data will be stored on mlflow virtual machine. If false, s3 bucket will be used alongside dbaas postgres database.
dnsName String: string → DNS name
flavorId String: required string → Flavor ID
jhInstanceId String: required string → JupyterHub instance 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.
timeouts Property Map

Supporting Types

MlplatformMlflowBootVolume
, MlplatformMlflowBootVolumeArgs

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

MlplatformMlflowDataVolume
, MlplatformMlflowDataVolumeArgs

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

MlplatformMlflowNetwork
, MlplatformMlflowNetworkArgs

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

MlplatformMlflowTimeouts
, MlplatformMlflowTimeoutsArgs

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 MLFlow instance can be imported using the id, e.g.

$ pulumi import vkcs:index/mlplatformMlflow:MlplatformMlflow mymlflow b22e0fd6-f7e5-41b7-9cc5-15c1f352bc0d

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

vk-cs/terraform-provider-vkcs

vkcs.MlplatformMlflow

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Example Usage

Create MlplatformMlflow Resource

Constructor syntax

Parameters

Constructor example

MlplatformMlflow Resource Properties

Inputs

Outputs

Look up Existing MlplatformMlflow Resource

Supporting Types

MlplatformMlflowBootVolume
, MlplatformMlflowBootVolumeArgs

MlplatformMlflowDataVolume
, MlplatformMlflowDataVolumeArgs

MlplatformMlflowNetwork
, MlplatformMlflowNetworkArgs

MlplatformMlflowTimeouts
, MlplatformMlflowTimeoutsArgs

Import

Package Details

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vkcs.MlplatformMlflow

On this page

On this page

Example Usage

Create MlplatformMlflow Resource

Constructor syntax

Parameters

Constructor example

MlplatformMlflow Resource Properties

Inputs

Outputs

Look up Existing MlplatformMlflow Resource

Supporting Types

MlplatformMlflowBootVolume, MlplatformMlflowBootVolumeArgs

MlplatformMlflowDataVolume, MlplatformMlflowDataVolumeArgs

MlplatformMlflowNetwork, MlplatformMlflowNetworkArgs

MlplatformMlflowTimeouts, MlplatformMlflowTimeoutsArgs

Import

Package Details

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MlplatformMlflowBootVolume
, MlplatformMlflowBootVolumeArgs

MlplatformMlflowDataVolume
, MlplatformMlflowDataVolumeArgs

MlplatformMlflowNetwork
, MlplatformMlflowNetworkArgs

MlplatformMlflowTimeouts
, MlplatformMlflowTimeoutsArgs