vkcs.MlplatformJupyterhub
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Manages a ML Platform JupyterHub resource.
New since v0.6.0.
Example Usage
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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:
- Availability
Zone string - required string → The availability zone in which to create the resource. Changing this creates a new resource
- Boot
Volume MlplatformJupyterhub Boot Volume - required → Instance's boot volume configuration
- Data
Volumes List<MlplatformJupyterhub Data Volume> - list → Instance's data volumes configuration
- Flavor
Id string - required string → Flavor ID
- Networks
List<Mlplatform
Jupyterhub Network> - list → Network configuration
- Admin
Name string - optional string → JupyterHub admin name. Changing this creates a new resource
- Admin
Password string - optional sensitive string → JupyterHub admin password. Changing this creates a new resource
- Domain
Name 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'sregion
. - S3fs
Bucket string - optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
- Timeouts
Mlplatform
Jupyterhub Timeouts
- Availability
Zone string - required string → The availability zone in which to create the resource. Changing this creates a new resource
- Boot
Volume MlplatformJupyterhub Boot Volume Args - required → Instance's boot volume configuration
- Data
Volumes []MlplatformJupyterhub Data Volume Args - list → Instance's data volumes configuration
- Flavor
Id string - required string → Flavor ID
- Networks
[]Mlplatform
Jupyterhub Network Args - list → Network configuration
- Admin
Name string - optional string → JupyterHub admin name. Changing this creates a new resource
- Admin
Password string - optional sensitive string → JupyterHub admin password. Changing this creates a new resource
- Domain
Name 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'sregion
. - S3fs
Bucket string - optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
- Timeouts
Mlplatform
Jupyterhub Timeouts Args
- availability
Zone String - required string → The availability zone in which to create the resource. Changing this creates a new resource
- boot
Volume MlplatformJupyterhub Boot Volume - required → Instance's boot volume configuration
- data
Volumes List<MlplatformJupyterhub Data Volume> - list → Instance's data volumes configuration
- flavor
Id String - required string → Flavor ID
- networks
List<Mlplatform
Jupyterhub Network> - list → Network configuration
- admin
Name String - optional string → JupyterHub admin name. Changing this creates a new resource
- admin
Password String - optional sensitive string → JupyterHub admin password. Changing this creates a new resource
- domain
Name 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'sregion
. - s3fs
Bucket String - optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
- timeouts
Mlplatform
Jupyterhub Timeouts
- availability
Zone string - required string → The availability zone in which to create the resource. Changing this creates a new resource
- boot
Volume MlplatformJupyterhub Boot Volume - required → Instance's boot volume configuration
- data
Volumes MlplatformJupyterhub Data Volume[] - list → Instance's data volumes configuration
- flavor
Id string - required string → Flavor ID
- networks
Mlplatform
Jupyterhub Network[] - list → Network configuration
- admin
Name string - optional string → JupyterHub admin name. Changing this creates a new resource
- admin
Password string - optional sensitive string → JupyterHub admin password. Changing this creates a new resource
- domain
Name 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'sregion
. - s3fs
Bucket string - optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
- timeouts
Mlplatform
Jupyterhub Timeouts
- availability_
zone str - required string → The availability zone in which to create the resource. Changing this creates a new resource
- boot_
volume MlplatformJupyterhub Boot Volume Args - required → Instance's boot volume configuration
- data_
volumes Sequence[MlplatformJupyterhub Data Volume Args] - list → Instance's data volumes configuration
- flavor_
id str - required string → Flavor ID
- networks
Sequence[Mlplatform
Jupyterhub Network Args] - 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'sregion
. - s3fs_
bucket str - optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
- timeouts
Mlplatform
Jupyterhub Timeouts Args
- availability
Zone String - required string → The availability zone in which to create the resource. Changing this creates a new resource
- boot
Volume Property Map - required → Instance's boot volume configuration
- data
Volumes List<Property Map> - list → Instance's data volumes configuration
- flavor
Id String - required string → Flavor ID
- networks List<Property Map>
- list → Network configuration
- admin
Name String - optional string → JupyterHub admin name. Changing this creates a new resource
- admin
Password String - optional sensitive string → JupyterHub admin password. Changing this creates a new resource
- domain
Name 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'sregion
. - s3fs
Bucket 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:
- 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
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.
- Admin
Name string - optional string → JupyterHub admin name. Changing this creates a new resource
- Admin
Password string - optional sensitive string → JupyterHub admin password. Changing this creates a new resource
- Availability
Zone string - required string → The availability zone in which to create the resource. Changing this creates a new resource
- Boot
Volume MlplatformJupyterhub Boot Volume - required → Instance's boot volume configuration
- Created
At string - string → Creation timestamp
- Data
Volumes List<MlplatformJupyterhub Data Volume> - list → Instance's data volumes configuration
- Dns
Name string - string → DNS name
- Domain
Name string - optional string → Domain name. Changing this creates a new resource
- Flavor
Id string - required string → Flavor ID
- Name string
- required string → Instance name. Changing this creates a new resource
- Networks
List<Mlplatform
Jupyterhub Network> - list → Network configuration
- Private
Ip string - string → Private IP address
- Region string
- optional string → The
region
in which ML Platform client is obtained, defaults to the provider'sregion
. - S3fs
Bucket string - optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
- Timeouts
Mlplatform
Jupyterhub Timeouts
- Admin
Name string - optional string → JupyterHub admin name. Changing this creates a new resource
- Admin
Password string - optional sensitive string → JupyterHub admin password. Changing this creates a new resource
- Availability
Zone string - required string → The availability zone in which to create the resource. Changing this creates a new resource
- Boot
Volume MlplatformJupyterhub Boot Volume Args - required → Instance's boot volume configuration
- Created
At string - string → Creation timestamp
- Data
Volumes []MlplatformJupyterhub Data Volume Args - list → Instance's data volumes configuration
- Dns
Name string - string → DNS name
- Domain
Name string - optional string → Domain name. Changing this creates a new resource
- Flavor
Id string - required string → Flavor ID
- Name string
- required string → Instance name. Changing this creates a new resource
- Networks
[]Mlplatform
Jupyterhub Network Args - list → Network configuration
- Private
Ip string - string → Private IP address
- Region string
- optional string → The
region
in which ML Platform client is obtained, defaults to the provider'sregion
. - S3fs
Bucket string - optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
- Timeouts
Mlplatform
Jupyterhub Timeouts Args
- admin
Name String - optional string → JupyterHub admin name. Changing this creates a new resource
- admin
Password String - optional sensitive string → JupyterHub admin password. Changing this creates a new resource
- availability
Zone String - required string → The availability zone in which to create the resource. Changing this creates a new resource
- boot
Volume MlplatformJupyterhub Boot Volume - required → Instance's boot volume configuration
- created
At String - string → Creation timestamp
- data
Volumes List<MlplatformJupyterhub Data Volume> - list → Instance's data volumes configuration
- dns
Name String - string → DNS name
- domain
Name String - optional string → Domain name. Changing this creates a new resource
- flavor
Id String - required string → Flavor ID
- name String
- required string → Instance name. Changing this creates a new resource
- networks
List<Mlplatform
Jupyterhub Network> - list → Network configuration
- private
Ip String - string → Private IP address
- region String
- optional string → The
region
in which ML Platform client is obtained, defaults to the provider'sregion
. - s3fs
Bucket String - optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
- timeouts
Mlplatform
Jupyterhub Timeouts
- admin
Name string - optional string → JupyterHub admin name. Changing this creates a new resource
- admin
Password string - optional sensitive string → JupyterHub admin password. Changing this creates a new resource
- availability
Zone string - required string → The availability zone in which to create the resource. Changing this creates a new resource
- boot
Volume MlplatformJupyterhub Boot Volume - required → Instance's boot volume configuration
- created
At string - string → Creation timestamp
- data
Volumes MlplatformJupyterhub Data Volume[] - list → Instance's data volumes configuration
- dns
Name string - string → DNS name
- domain
Name string - optional string → Domain name. Changing this creates a new resource
- flavor
Id string - required string → Flavor ID
- name string
- required string → Instance name. Changing this creates a new resource
- networks
Mlplatform
Jupyterhub Network[] - list → Network configuration
- private
Ip string - string → Private IP address
- region string
- optional string → The
region
in which ML Platform client is obtained, defaults to the provider'sregion
. - s3fs
Bucket string - optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
- timeouts
Mlplatform
Jupyterhub Timeouts
- 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 MlplatformJupyterhub Boot Volume Args - required → Instance's boot volume configuration
- created_
at str - string → Creation timestamp
- data_
volumes Sequence[MlplatformJupyterhub Data Volume Args] - 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[Mlplatform
Jupyterhub Network Args] - 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'sregion
. - s3fs_
bucket str - optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
- timeouts
Mlplatform
Jupyterhub Timeouts Args
- admin
Name String - optional string → JupyterHub admin name. Changing this creates a new resource
- admin
Password String - optional sensitive string → JupyterHub admin password. Changing this creates a new resource
- availability
Zone String - required string → The availability zone in which to create the resource. Changing this creates a new resource
- boot
Volume Property Map - required → Instance's boot volume configuration
- created
At String - string → Creation timestamp
- data
Volumes List<Property Map> - list → Instance's data volumes configuration
- dns
Name String - string → DNS name
- domain
Name String - optional string → Domain name. Changing this creates a new resource
- flavor
Id String - required string → Flavor ID
- name String
- required string → Instance name. Changing this creates a new resource
- networks List<Property Map>
- list → Network configuration
- private
Ip String - string → Private IP address
- region String
- optional string → The
region
in which ML Platform client is obtained, defaults to the provider'sregion
. - s3fs
Bucket String - optional string → Connect specified s3 bucket to instance as volume. Changing this creates a new resource
- timeouts Property Map
Supporting Types
MlplatformJupyterhubBootVolume, MlplatformJupyterhubBootVolumeArgs
- Volume
Type string - required string → Type of the volume
- Name string
- read-only string → Name of the volume
- Size double
- optional number → Size of the volume
- Volume
Id string - read-only string → ID of the volume
- Volume
Type string - required string → Type of the volume
- Name string
- read-only string → Name of the volume
- Size float64
- optional number → Size of the volume
- Volume
Id string - read-only string → ID of the volume
- volume
Type String - required string → Type of the volume
- name String
- read-only string → Name of the volume
- size Double
- optional number → Size of the volume
- volume
Id String - read-only string → ID of the volume
- volume
Type string - required string → Type of the volume
- name string
- read-only string → Name of the volume
- size number
- optional number → Size of the volume
- volume
Id 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
- volume
Type String - required string → Type of the volume
- name String
- read-only string → Name of the volume
- size Number
- optional number → Size of the volume
- volume
Id String - read-only string → ID of the volume
MlplatformJupyterhubDataVolume, MlplatformJupyterhubDataVolumeArgs
- Size double
- required number → Size of the volume
- Volume
Type string - required string → Type of the volume
- Name string
- read-only string → Name of the volume
- Volume
Id string - read-only string → ID of the volume
- Size float64
- required number → Size of the volume
- Volume
Type string - required string → Type of the volume
- Name string
- read-only string → Name of the volume
- Volume
Id string - read-only string → ID of the volume
- size Double
- required number → Size of the volume
- volume
Type String - required string → Type of the volume
- name String
- read-only string → Name of the volume
- volume
Id String - read-only string → ID of the volume
- size number
- required number → Size of the volume
- volume
Type string - required string → Type of the volume
- name string
- read-only string → Name of the volume
- volume
Id 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
- volume
Type String - required string → Type of the volume
- name String
- read-only string → Name of the volume
- volume
Id String - read-only string → ID of the volume
MlplatformJupyterhubNetwork, MlplatformJupyterhubNetworkArgs
- network_
id str - required string → ID of the network
- ip_
pool str - 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.