Provides a DigitalOcean Kubernetes node pool resource. While the default node pool must be defined in the digitalocean.KubernetesCluster resource, this resource can be used to add additional ones to a cluster.
Example Usage
Basic Example
import * as pulumi from "@pulumi/pulumi";
import * as digitalocean from "@pulumi/digitalocean";
const foo = new digitalocean.KubernetesCluster("foo", {
name: "foo",
region: digitalocean.Region.NYC1,
version: "1.22.8-do.1",
nodePool: {
name: "front-end-pool",
size: "s-2vcpu-2gb",
nodeCount: 3,
},
});
const bar = new digitalocean.KubernetesNodePool("bar", {
clusterId: foo.id,
name: "backend-pool",
size: digitalocean.DropletSlug.DropletC2,
nodeCount: 2,
tags: ["backend"],
labels: {
service: "backend",
priority: "high",
},
taints: [{
key: "workloadKind",
value: "database",
effect: "NoSchedule",
}],
});
import pulumi
import pulumi_digitalocean as digitalocean
foo = digitalocean.KubernetesCluster("foo",
name="foo",
region=digitalocean.Region.NYC1,
version="1.22.8-do.1",
node_pool={
"name": "front-end-pool",
"size": "s-2vcpu-2gb",
"node_count": 3,
})
bar = digitalocean.KubernetesNodePool("bar",
cluster_id=foo.id,
name="backend-pool",
size=digitalocean.DropletSlug.DROPLET_C2,
node_count=2,
tags=["backend"],
labels={
"service": "backend",
"priority": "high",
},
taints=[{
"key": "workloadKind",
"value": "database",
"effect": "NoSchedule",
}])
package main
import (
"github.com/pulumi/pulumi-digitalocean/sdk/v4/go/digitalocean"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
foo, err := digitalocean.NewKubernetesCluster(ctx, "foo", &digitalocean.KubernetesClusterArgs{
Name: pulumi.String("foo"),
Region: pulumi.String(digitalocean.RegionNYC1),
Version: pulumi.String("1.22.8-do.1"),
NodePool: &digitalocean.KubernetesClusterNodePoolArgs{
Name: pulumi.String("front-end-pool"),
Size: pulumi.String("s-2vcpu-2gb"),
NodeCount: pulumi.Int(3),
},
})
if err != nil {
return err
}
_, err = digitalocean.NewKubernetesNodePool(ctx, "bar", &digitalocean.KubernetesNodePoolArgs{
ClusterId: foo.ID(),
Name: pulumi.String("backend-pool"),
Size: pulumi.String(digitalocean.DropletSlugDropletC2),
NodeCount: pulumi.Int(2),
Tags: pulumi.StringArray{
pulumi.String("backend"),
},
Labels: pulumi.StringMap{
"service": pulumi.String("backend"),
"priority": pulumi.String("high"),
},
Taints: digitalocean.KubernetesNodePoolTaintArray{
&digitalocean.KubernetesNodePoolTaintArgs{
Key: pulumi.String("workloadKind"),
Value: pulumi.String("database"),
Effect: pulumi.String("NoSchedule"),
},
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using DigitalOcean = Pulumi.DigitalOcean;
return await Deployment.RunAsync(() =>
{
var foo = new DigitalOcean.KubernetesCluster("foo", new()
{
Name = "foo",
Region = DigitalOcean.Region.NYC1,
Version = "1.22.8-do.1",
NodePool = new DigitalOcean.Inputs.KubernetesClusterNodePoolArgs
{
Name = "front-end-pool",
Size = "s-2vcpu-2gb",
NodeCount = 3,
},
});
var bar = new DigitalOcean.KubernetesNodePool("bar", new()
{
ClusterId = foo.Id,
Name = "backend-pool",
Size = DigitalOcean.DropletSlug.DropletC2,
NodeCount = 2,
Tags = new[]
{
"backend",
},
Labels =
{
{ "service", "backend" },
{ "priority", "high" },
},
Taints = new[]
{
new DigitalOcean.Inputs.KubernetesNodePoolTaintArgs
{
Key = "workloadKind",
Value = "database",
Effect = "NoSchedule",
},
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.digitalocean.KubernetesCluster;
import com.pulumi.digitalocean.KubernetesClusterArgs;
import com.pulumi.digitalocean.inputs.KubernetesClusterNodePoolArgs;
import com.pulumi.digitalocean.KubernetesNodePool;
import com.pulumi.digitalocean.KubernetesNodePoolArgs;
import com.pulumi.digitalocean.inputs.KubernetesNodePoolTaintArgs;
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 foo = new KubernetesCluster("foo", KubernetesClusterArgs.builder()
.name("foo")
.region("nyc1")
.version("1.22.8-do.1")
.nodePool(KubernetesClusterNodePoolArgs.builder()
.name("front-end-pool")
.size("s-2vcpu-2gb")
.nodeCount(3)
.build())
.build());
var bar = new KubernetesNodePool("bar", KubernetesNodePoolArgs.builder()
.clusterId(foo.id())
.name("backend-pool")
.size("c-2")
.nodeCount(2)
.tags("backend")
.labels(Map.ofEntries(
Map.entry("service", "backend"),
Map.entry("priority", "high")
))
.taints(KubernetesNodePoolTaintArgs.builder()
.key("workloadKind")
.value("database")
.effect("NoSchedule")
.build())
.build());
}
}
resources:
foo:
type: digitalocean:KubernetesCluster
properties:
name: foo
region: nyc1
version: 1.22.8-do.1
nodePool:
name: front-end-pool
size: s-2vcpu-2gb
nodeCount: 3
bar:
type: digitalocean:KubernetesNodePool
properties:
clusterId: ${foo.id}
name: backend-pool
size: c-2
nodeCount: 2
tags:
- backend
labels:
service: backend
priority: high
taints:
- key: workloadKind
value: database
effect: NoSchedule
Autoscaling Example
Node pools may also be configured to autoscale. For example:
import * as pulumi from "@pulumi/pulumi";
import * as digitalocean from "@pulumi/digitalocean";
const autoscale_pool_01 = new digitalocean.KubernetesNodePool("autoscale-pool-01", {
clusterId: foo.id,
name: "autoscale-pool-01",
size: digitalocean.DropletSlug.DropletS1VCPU2GB,
autoScale: true,
minNodes: 1,
maxNodes: 5,
});
import pulumi
import pulumi_digitalocean as digitalocean
autoscale_pool_01 = digitalocean.KubernetesNodePool("autoscale-pool-01",
cluster_id=foo["id"],
name="autoscale-pool-01",
size=digitalocean.DropletSlug.DROPLET_S1_VCPU2_GB,
auto_scale=True,
min_nodes=1,
max_nodes=5)
package main
import (
"github.com/pulumi/pulumi-digitalocean/sdk/v4/go/digitalocean"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := digitalocean.NewKubernetesNodePool(ctx, "autoscale-pool-01", &digitalocean.KubernetesNodePoolArgs{
ClusterId: pulumi.Any(foo.Id),
Name: pulumi.String("autoscale-pool-01"),
Size: pulumi.String(digitalocean.DropletSlugDropletS1VCPU2GB),
AutoScale: pulumi.Bool(true),
MinNodes: pulumi.Int(1),
MaxNodes: pulumi.Int(5),
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using DigitalOcean = Pulumi.DigitalOcean;
return await Deployment.RunAsync(() =>
{
var autoscale_pool_01 = new DigitalOcean.KubernetesNodePool("autoscale-pool-01", new()
{
ClusterId = foo.Id,
Name = "autoscale-pool-01",
Size = DigitalOcean.DropletSlug.DropletS1VCPU2GB,
AutoScale = true,
MinNodes = 1,
MaxNodes = 5,
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.digitalocean.KubernetesNodePool;
import com.pulumi.digitalocean.KubernetesNodePoolArgs;
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 autoscale_pool_01 = new KubernetesNodePool("autoscale-pool-01", KubernetesNodePoolArgs.builder()
.clusterId(foo.id())
.name("autoscale-pool-01")
.size("s-1vcpu-2gb")
.autoScale(true)
.minNodes(1)
.maxNodes(5)
.build());
}
}
resources:
autoscale-pool-01:
type: digitalocean:KubernetesNodePool
properties:
clusterId: ${foo.id}
name: autoscale-pool-01
size: s-1vcpu-2gb
autoScale: true
minNodes: 1
maxNodes: 5
Create KubernetesNodePool Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new KubernetesNodePool(name: string, args: KubernetesNodePoolArgs, opts?: CustomResourceOptions);@overload
def KubernetesNodePool(resource_name: str,
args: KubernetesNodePoolArgs,
opts: Optional[ResourceOptions] = None)
@overload
def KubernetesNodePool(resource_name: str,
opts: Optional[ResourceOptions] = None,
cluster_id: Optional[str] = None,
size: Optional[Union[str, DropletSlug]] = None,
auto_scale: Optional[bool] = None,
labels: Optional[Mapping[str, str]] = None,
max_nodes: Optional[int] = None,
min_nodes: Optional[int] = None,
name: Optional[str] = None,
node_count: Optional[int] = None,
tags: Optional[Sequence[str]] = None,
taints: Optional[Sequence[KubernetesNodePoolTaintArgs]] = None)func NewKubernetesNodePool(ctx *Context, name string, args KubernetesNodePoolArgs, opts ...ResourceOption) (*KubernetesNodePool, error)public KubernetesNodePool(string name, KubernetesNodePoolArgs args, CustomResourceOptions? opts = null)
public KubernetesNodePool(String name, KubernetesNodePoolArgs args)
public KubernetesNodePool(String name, KubernetesNodePoolArgs args, CustomResourceOptions options)
type: digitalocean:KubernetesNodePool
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 KubernetesNodePoolArgs
- 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 KubernetesNodePoolArgs
- 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 KubernetesNodePoolArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args KubernetesNodePoolArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args KubernetesNodePoolArgs
- 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 kubernetesNodePoolResource = new DigitalOcean.KubernetesNodePool("kubernetesNodePoolResource", new()
{
ClusterId = "string",
Size = "string",
AutoScale = false,
Labels =
{
{ "string", "string" },
},
MaxNodes = 0,
MinNodes = 0,
Name = "string",
NodeCount = 0,
Tags = new[]
{
"string",
},
Taints = new[]
{
new DigitalOcean.Inputs.KubernetesNodePoolTaintArgs
{
Effect = "string",
Key = "string",
Value = "string",
},
},
});
example, err := digitalocean.NewKubernetesNodePool(ctx, "kubernetesNodePoolResource", &digitalocean.KubernetesNodePoolArgs{
ClusterId: pulumi.String("string"),
Size: pulumi.String("string"),
AutoScale: pulumi.Bool(false),
Labels: pulumi.StringMap{
"string": pulumi.String("string"),
},
MaxNodes: pulumi.Int(0),
MinNodes: pulumi.Int(0),
Name: pulumi.String("string"),
NodeCount: pulumi.Int(0),
Tags: pulumi.StringArray{
pulumi.String("string"),
},
Taints: digitalocean.KubernetesNodePoolTaintArray{
&digitalocean.KubernetesNodePoolTaintArgs{
Effect: pulumi.String("string"),
Key: pulumi.String("string"),
Value: pulumi.String("string"),
},
},
})
var kubernetesNodePoolResource = new KubernetesNodePool("kubernetesNodePoolResource", KubernetesNodePoolArgs.builder()
.clusterId("string")
.size("string")
.autoScale(false)
.labels(Map.of("string", "string"))
.maxNodes(0)
.minNodes(0)
.name("string")
.nodeCount(0)
.tags("string")
.taints(KubernetesNodePoolTaintArgs.builder()
.effect("string")
.key("string")
.value("string")
.build())
.build());
kubernetes_node_pool_resource = digitalocean.KubernetesNodePool("kubernetesNodePoolResource",
cluster_id="string",
size="string",
auto_scale=False,
labels={
"string": "string",
},
max_nodes=0,
min_nodes=0,
name="string",
node_count=0,
tags=["string"],
taints=[{
"effect": "string",
"key": "string",
"value": "string",
}])
const kubernetesNodePoolResource = new digitalocean.KubernetesNodePool("kubernetesNodePoolResource", {
clusterId: "string",
size: "string",
autoScale: false,
labels: {
string: "string",
},
maxNodes: 0,
minNodes: 0,
name: "string",
nodeCount: 0,
tags: ["string"],
taints: [{
effect: "string",
key: "string",
value: "string",
}],
});
type: digitalocean:KubernetesNodePool
properties:
autoScale: false
clusterId: string
labels:
string: string
maxNodes: 0
minNodes: 0
name: string
nodeCount: 0
size: string
tags:
- string
taints:
- effect: string
key: string
value: string
KubernetesNodePool 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 KubernetesNodePool resource accepts the following input properties:
- Cluster
Id string - The ID of the Kubernetes cluster to which the node pool is associated.
- Size
string | Pulumi.
Digital Ocean. Droplet Slug - The slug identifier for the type of Droplet to be used as workers in the node pool.
- Auto
Scale bool - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- Labels Dictionary<string, string>
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- Max
Nodes int - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- Min
Nodes int - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- Name string
- A name for the node pool.
- Node
Count int - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- List<string>
- A list of tag names to be applied to the Kubernetes cluster.
- Taints
List<Pulumi.
Digital Ocean. Inputs. Kubernetes Node Pool Taint> A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
- Cluster
Id string - The ID of the Kubernetes cluster to which the node pool is associated.
- Size
string | Droplet
Slug - The slug identifier for the type of Droplet to be used as workers in the node pool.
- Auto
Scale bool - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- Labels map[string]string
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- Max
Nodes int - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- Min
Nodes int - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- Name string
- A name for the node pool.
- Node
Count int - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- []string
- A list of tag names to be applied to the Kubernetes cluster.
- Taints
[]Kubernetes
Node Pool Taint Args A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
- cluster
Id String - The ID of the Kubernetes cluster to which the node pool is associated.
- size
String | Droplet
Slug - The slug identifier for the type of Droplet to be used as workers in the node pool.
- auto
Scale Boolean - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- labels Map<String,String>
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- max
Nodes Integer - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- min
Nodes Integer - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- name String
- A name for the node pool.
- node
Count Integer - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- List<String>
- A list of tag names to be applied to the Kubernetes cluster.
- taints
List<Kubernetes
Node Pool Taint> A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
- cluster
Id string - The ID of the Kubernetes cluster to which the node pool is associated.
- size
string | Droplet
Slug - The slug identifier for the type of Droplet to be used as workers in the node pool.
- auto
Scale boolean - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- labels {[key: string]: string}
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- max
Nodes number - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- min
Nodes number - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- name string
- A name for the node pool.
- node
Count number - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- string[]
- A list of tag names to be applied to the Kubernetes cluster.
- taints
Kubernetes
Node Pool Taint[] A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
- cluster_
id str - The ID of the Kubernetes cluster to which the node pool is associated.
- size
str | Droplet
Slug - The slug identifier for the type of Droplet to be used as workers in the node pool.
- auto_
scale bool - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- labels Mapping[str, str]
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- max_
nodes int - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- min_
nodes int - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- name str
- A name for the node pool.
- node_
count int - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- Sequence[str]
- A list of tag names to be applied to the Kubernetes cluster.
- taints
Sequence[Kubernetes
Node Pool Taint Args] A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
- cluster
Id String - The ID of the Kubernetes cluster to which the node pool is associated.
- size String | "s-1vcpu-512mb-10gb" | "s-1vcpu-1gb" | "s-1vcpu-1gb-amd" | "s-1vcpu-1gb-intel" | "s-1vcpu-1gb-35gb-intel" | "s-1vcpu-2gb" | "s-1vcpu-2gb-amd" | "s-1vcpu-2gb-intel" | "s-1vcpu-2gb-70gb-intel" | "s-2vcpu-2gb" | "s-2vcpu-2gb-amd" | "s-2vcpu-2gb-intel" | "s-2vcpu-2gb-90gb-intel" | "s-2vcpu-4gb" | "s-2vcpu-4gb-amd" | "s-2vcpu-4gb-intel" | "s-2vcpu-4gb-120gb-intel" | "s-2vcpu-8gb-amd" | "c-2" | "c2-2vcpu-4gb" | "s-2vcpu-8gb-160gb-intel" | "s-4vcpu-8gb" | "s-4vcpu-8gb-amd" | "s-4vcpu-8gb-intel" | "g-2vcpu-8gb" | "s-4vcpu-8gb-240gb-intel" | "gd-2vcpu-8gb" | "g-2vcpu-8gb-intel" | "gd-2vcpu-8gb-intel" | "s-4vcpu-16gb-amd" | "m-2vcpu-16gb" | "c-4" | "c2-4vcpu-8gb" | "s-4vcpu-16gb-320gb-intel" | "s-8vcpu-16gb" | "m-2vcpu-16gb-intel" | "m3-2vcpu-16gb" | "c-4-intel" | "m3-2vcpu-16gb-intel" | "s-8vcpu-16gb-amd" | "s-8vcpu-16gb-intel" | "c2-4vcpu-8gb-intel" | "g-4vcpu-16gb" | "s-8vcpu-16gb-480gb-intel" | "so-2vcpu-16gb-intel" | "so-2vcpu-16gb" | "m6-2vcpu-16gb" | "gd-4vcpu-16gb" | "so1_5-2vcpu-16gb-intel" | "g-4vcpu-16gb-intel" | "gd-4vcpu-16gb-intel" | "so1_5-2vcpu-16gb" | "s-8vcpu-32gb-amd" | "m-4vcpu-32gb" | "c-8" | "c2-8vcpu-16gb" | "s-8vcpu-32gb-640gb-intel" | "m-4vcpu-32gb-intel" | "m3-4vcpu-32gb" | "c-8-intel" | "m3-4vcpu-32gb-intel" | "c2-8vcpu-16gb-intel" | "g-8vcpu-32gb" | "so-4vcpu-32gb-intel" | "so-4vcpu-32gb" | "m6-4vcpu-32gb" | "gd-8vcpu-32gb" | "so1_5-4vcpu-32gb-intel" | "g-8vcpu-32gb-intel" | "gd-8vcpu-32gb-intel" | "so1_5-4vcpu-32gb" | "m-8vcpu-64gb" | "c-16" | "c2-16vcpu-32gb" | "m-8vcpu-64gb-intel" | "m3-8vcpu-64gb" | "c-16-intel" | "m3-8vcpu-64gb-intel" | "c2-16vcpu-32gb-intel" | "g-16vcpu-64gb" | "so-8vcpu-64gb-intel" | "so-8vcpu-64gb" | "m6-8vcpu-64gb" | "gd-16vcpu-64gb" | "so1_5-8vcpu-64gb-intel" | "g-16vcpu-64gb-intel" | "gd-16vcpu-64gb-intel" | "so1_5-8vcpu-64gb" | "m-16vcpu-128gb" | "c-32" | "c2-32vcpu-64gb" | "m-16vcpu-128gb-intel" | "m3-16vcpu-128gb" | "c-32-intel" | "m3-16vcpu-128gb-intel" | "c2-32vcpu-64gb-intel" | "c-48" | "m-24vcpu-192gb" | "g-32vcpu-128gb" | "so-16vcpu-128gb-intel" | "so-16vcpu-128gb" | "m6-16vcpu-128gb" | "gd-32vcpu-128gb" | "so1_5-16vcpu-128gb-intel" | "c2-48vcpu-96gb" | "m-24vcpu-192gb-intel" | "g-32vcpu-128gb-intel" | "m3-24vcpu-192gb" | "g-40vcpu-160gb" | "gd-32vcpu-128gb-intel" | "so1_5-16vcpu-128gb" | "c-48-intel" | "m3-24vcpu-192gb-intel" | "m-32vcpu-256gb" | "gd-40vcpu-160gb" | "c2-48vcpu-96gb-intel" | "so-24vcpu-192gb-intel" | "so-24vcpu-192gb" | "m6-24vcpu-192gb" | "m-32vcpu-256gb-intel" | "c-60-intel" | "m3-32vcpu-256gb" | "so1_5-24vcpu-192gb-intel" | "m3-32vcpu-256gb-intel" | "g-48vcpu-192gb-intel" | "c2-60vcpu-120gb-intel" | "gd-48vcpu-192gb-intel" | "so1_5-24vcpu-192gb" | "so-32vcpu-256gb-intel" | "so-32vcpu-256gb" | "m6-32vcpu-256gb" | "so1_5-32vcpu-256gb-intel" | "g-60vcpu-240gb-intel" | "m-48vcpu-384gb-intel" | "gd-60vcpu-240gb-intel" | "gpu-h100x1-80gb" | "so1_5-32vcpu-256gb" | "m3-48vcpu-384gb-intel" | "so-48vcpu-384gb-intel" | "gpu-h100x1-80gb-200" | "gpu-h100x8-640gb" | "gpu-h100x8-640gb-200" | "16gb" | "1gb" | "2gb" | "32gb" | "48gb" | "4gb" | "512mb" | "64gb" | "8gb" | "c2-4vcpu-8gb" | "s-12vcpu-48gb" | "s-16vcpu-64gb" | "s-1vcpu-3gb" | "s-20vcpu-96gb" | "s-24vcpu-128gb" | "s-32vcpu-192gb" | "s-3vcpu-1gb" | "s-6vcpu-16gb" | "s-8vcpu-32gb" | "so1_5-16vcpu-128gb" | "so1_5-24vcpu-192gb" | "so1_5-2vcpu-16gb" | "so1_5-32vcpu-256gb" | "so1_5-4vcpu-32gb" | "so1_5-8vcpu-64gb"
- The slug identifier for the type of Droplet to be used as workers in the node pool.
- auto
Scale Boolean - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- labels Map<String>
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- max
Nodes Number - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- min
Nodes Number - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- name String
- A name for the node pool.
- node
Count Number - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- List<String>
- A list of tag names to be applied to the Kubernetes cluster.
- taints List<Property Map>
A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
Outputs
All input properties are implicitly available as output properties. Additionally, the KubernetesNodePool resource produces the following output properties:
- Actual
Node intCount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- Id string
- The provider-assigned unique ID for this managed resource.
- Nodes
List<Pulumi.
Digital Ocean. Outputs. Kubernetes Node Pool Node> - A list of nodes in the pool. Each node exports the following attributes:
- Actual
Node intCount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- Id string
- The provider-assigned unique ID for this managed resource.
- Nodes
[]Kubernetes
Node Pool Node - A list of nodes in the pool. Each node exports the following attributes:
- actual
Node IntegerCount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- id String
- The provider-assigned unique ID for this managed resource.
- nodes
List<Kubernetes
Node Pool Node> - A list of nodes in the pool. Each node exports the following attributes:
- actual
Node numberCount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- id string
- The provider-assigned unique ID for this managed resource.
- nodes
Kubernetes
Node Pool Node[] - A list of nodes in the pool. Each node exports the following attributes:
- actual_
node_ intcount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- id str
- The provider-assigned unique ID for this managed resource.
- nodes
Sequence[Kubernetes
Node Pool Node] - A list of nodes in the pool. Each node exports the following attributes:
- actual
Node NumberCount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- id String
- The provider-assigned unique ID for this managed resource.
- nodes List<Property Map>
- A list of nodes in the pool. Each node exports the following attributes:
Look up Existing KubernetesNodePool Resource
Get an existing KubernetesNodePool 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?: KubernetesNodePoolState, opts?: CustomResourceOptions): KubernetesNodePool@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
actual_node_count: Optional[int] = None,
auto_scale: Optional[bool] = None,
cluster_id: Optional[str] = None,
labels: Optional[Mapping[str, str]] = None,
max_nodes: Optional[int] = None,
min_nodes: Optional[int] = None,
name: Optional[str] = None,
node_count: Optional[int] = None,
nodes: Optional[Sequence[KubernetesNodePoolNodeArgs]] = None,
size: Optional[Union[str, DropletSlug]] = None,
tags: Optional[Sequence[str]] = None,
taints: Optional[Sequence[KubernetesNodePoolTaintArgs]] = None) -> KubernetesNodePoolfunc GetKubernetesNodePool(ctx *Context, name string, id IDInput, state *KubernetesNodePoolState, opts ...ResourceOption) (*KubernetesNodePool, error)public static KubernetesNodePool Get(string name, Input<string> id, KubernetesNodePoolState? state, CustomResourceOptions? opts = null)public static KubernetesNodePool get(String name, Output<String> id, KubernetesNodePoolState state, CustomResourceOptions options)resources: _: type: digitalocean:KubernetesNodePool 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.
- Actual
Node intCount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- Auto
Scale bool - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- Cluster
Id string - The ID of the Kubernetes cluster to which the node pool is associated.
- Labels Dictionary<string, string>
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- Max
Nodes int - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- Min
Nodes int - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- Name string
- A name for the node pool.
- Node
Count int - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- Nodes
List<Pulumi.
Digital Ocean. Inputs. Kubernetes Node Pool Node> - A list of nodes in the pool. Each node exports the following attributes:
- Size
string | Pulumi.
Digital Ocean. Droplet Slug - The slug identifier for the type of Droplet to be used as workers in the node pool.
- List<string>
- A list of tag names to be applied to the Kubernetes cluster.
- Taints
List<Pulumi.
Digital Ocean. Inputs. Kubernetes Node Pool Taint> A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
- Actual
Node intCount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- Auto
Scale bool - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- Cluster
Id string - The ID of the Kubernetes cluster to which the node pool is associated.
- Labels map[string]string
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- Max
Nodes int - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- Min
Nodes int - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- Name string
- A name for the node pool.
- Node
Count int - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- Nodes
[]Kubernetes
Node Pool Node Args - A list of nodes in the pool. Each node exports the following attributes:
- Size
string | Droplet
Slug - The slug identifier for the type of Droplet to be used as workers in the node pool.
- []string
- A list of tag names to be applied to the Kubernetes cluster.
- Taints
[]Kubernetes
Node Pool Taint Args A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
- actual
Node IntegerCount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- auto
Scale Boolean - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- cluster
Id String - The ID of the Kubernetes cluster to which the node pool is associated.
- labels Map<String,String>
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- max
Nodes Integer - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- min
Nodes Integer - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- name String
- A name for the node pool.
- node
Count Integer - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- nodes
List<Kubernetes
Node Pool Node> - A list of nodes in the pool. Each node exports the following attributes:
- size
String | Droplet
Slug - The slug identifier for the type of Droplet to be used as workers in the node pool.
- List<String>
- A list of tag names to be applied to the Kubernetes cluster.
- taints
List<Kubernetes
Node Pool Taint> A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
- actual
Node numberCount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- auto
Scale boolean - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- cluster
Id string - The ID of the Kubernetes cluster to which the node pool is associated.
- labels {[key: string]: string}
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- max
Nodes number - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- min
Nodes number - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- name string
- A name for the node pool.
- node
Count number - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- nodes
Kubernetes
Node Pool Node[] - A list of nodes in the pool. Each node exports the following attributes:
- size
string | Droplet
Slug - The slug identifier for the type of Droplet to be used as workers in the node pool.
- string[]
- A list of tag names to be applied to the Kubernetes cluster.
- taints
Kubernetes
Node Pool Taint[] A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
- actual_
node_ intcount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- auto_
scale bool - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- cluster_
id str - The ID of the Kubernetes cluster to which the node pool is associated.
- labels Mapping[str, str]
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- max_
nodes int - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- min_
nodes int - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- name str
- A name for the node pool.
- node_
count int - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- nodes
Sequence[Kubernetes
Node Pool Node Args] - A list of nodes in the pool. Each node exports the following attributes:
- size
str | Droplet
Slug - The slug identifier for the type of Droplet to be used as workers in the node pool.
- Sequence[str]
- A list of tag names to be applied to the Kubernetes cluster.
- taints
Sequence[Kubernetes
Node Pool Taint Args] A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
- actual
Node NumberCount - A computed field representing the actual number of nodes in the node pool, which is especially useful when auto-scaling is enabled.
- auto
Scale Boolean - Enable auto-scaling of the number of nodes in the node pool within the given min/max range.
- cluster
Id String - The ID of the Kubernetes cluster to which the node pool is associated.
- labels Map<String>
- A map of key/value pairs to apply to nodes in the pool. The labels are exposed in the Kubernetes API as labels in the metadata of the corresponding Node resources.
- max
Nodes Number - If auto-scaling is enabled, this represents the maximum number of nodes that the node pool can be scaled up to.
- min
Nodes Number - If auto-scaling is enabled, this represents the minimum number of nodes that the node pool can be scaled down to.
- name String
- A name for the node pool.
- node
Count Number - The number of Droplet instances in the node pool. If auto-scaling is enabled, this should only be set if the desired result is to explicitly reset the number of nodes to this value. If auto-scaling is enabled, and the node count is outside of the given min/max range, it will use the min nodes value.
- nodes List<Property Map>
- A list of nodes in the pool. Each node exports the following attributes:
- size String | "s-1vcpu-512mb-10gb" | "s-1vcpu-1gb" | "s-1vcpu-1gb-amd" | "s-1vcpu-1gb-intel" | "s-1vcpu-1gb-35gb-intel" | "s-1vcpu-2gb" | "s-1vcpu-2gb-amd" | "s-1vcpu-2gb-intel" | "s-1vcpu-2gb-70gb-intel" | "s-2vcpu-2gb" | "s-2vcpu-2gb-amd" | "s-2vcpu-2gb-intel" | "s-2vcpu-2gb-90gb-intel" | "s-2vcpu-4gb" | "s-2vcpu-4gb-amd" | "s-2vcpu-4gb-intel" | "s-2vcpu-4gb-120gb-intel" | "s-2vcpu-8gb-amd" | "c-2" | "c2-2vcpu-4gb" | "s-2vcpu-8gb-160gb-intel" | "s-4vcpu-8gb" | "s-4vcpu-8gb-amd" | "s-4vcpu-8gb-intel" | "g-2vcpu-8gb" | "s-4vcpu-8gb-240gb-intel" | "gd-2vcpu-8gb" | "g-2vcpu-8gb-intel" | "gd-2vcpu-8gb-intel" | "s-4vcpu-16gb-amd" | "m-2vcpu-16gb" | "c-4" | "c2-4vcpu-8gb" | "s-4vcpu-16gb-320gb-intel" | "s-8vcpu-16gb" | "m-2vcpu-16gb-intel" | "m3-2vcpu-16gb" | "c-4-intel" | "m3-2vcpu-16gb-intel" | "s-8vcpu-16gb-amd" | "s-8vcpu-16gb-intel" | "c2-4vcpu-8gb-intel" | "g-4vcpu-16gb" | "s-8vcpu-16gb-480gb-intel" | "so-2vcpu-16gb-intel" | "so-2vcpu-16gb" | "m6-2vcpu-16gb" | "gd-4vcpu-16gb" | "so1_5-2vcpu-16gb-intel" | "g-4vcpu-16gb-intel" | "gd-4vcpu-16gb-intel" | "so1_5-2vcpu-16gb" | "s-8vcpu-32gb-amd" | "m-4vcpu-32gb" | "c-8" | "c2-8vcpu-16gb" | "s-8vcpu-32gb-640gb-intel" | "m-4vcpu-32gb-intel" | "m3-4vcpu-32gb" | "c-8-intel" | "m3-4vcpu-32gb-intel" | "c2-8vcpu-16gb-intel" | "g-8vcpu-32gb" | "so-4vcpu-32gb-intel" | "so-4vcpu-32gb" | "m6-4vcpu-32gb" | "gd-8vcpu-32gb" | "so1_5-4vcpu-32gb-intel" | "g-8vcpu-32gb-intel" | "gd-8vcpu-32gb-intel" | "so1_5-4vcpu-32gb" | "m-8vcpu-64gb" | "c-16" | "c2-16vcpu-32gb" | "m-8vcpu-64gb-intel" | "m3-8vcpu-64gb" | "c-16-intel" | "m3-8vcpu-64gb-intel" | "c2-16vcpu-32gb-intel" | "g-16vcpu-64gb" | "so-8vcpu-64gb-intel" | "so-8vcpu-64gb" | "m6-8vcpu-64gb" | "gd-16vcpu-64gb" | "so1_5-8vcpu-64gb-intel" | "g-16vcpu-64gb-intel" | "gd-16vcpu-64gb-intel" | "so1_5-8vcpu-64gb" | "m-16vcpu-128gb" | "c-32" | "c2-32vcpu-64gb" | "m-16vcpu-128gb-intel" | "m3-16vcpu-128gb" | "c-32-intel" | "m3-16vcpu-128gb-intel" | "c2-32vcpu-64gb-intel" | "c-48" | "m-24vcpu-192gb" | "g-32vcpu-128gb" | "so-16vcpu-128gb-intel" | "so-16vcpu-128gb" | "m6-16vcpu-128gb" | "gd-32vcpu-128gb" | "so1_5-16vcpu-128gb-intel" | "c2-48vcpu-96gb" | "m-24vcpu-192gb-intel" | "g-32vcpu-128gb-intel" | "m3-24vcpu-192gb" | "g-40vcpu-160gb" | "gd-32vcpu-128gb-intel" | "so1_5-16vcpu-128gb" | "c-48-intel" | "m3-24vcpu-192gb-intel" | "m-32vcpu-256gb" | "gd-40vcpu-160gb" | "c2-48vcpu-96gb-intel" | "so-24vcpu-192gb-intel" | "so-24vcpu-192gb" | "m6-24vcpu-192gb" | "m-32vcpu-256gb-intel" | "c-60-intel" | "m3-32vcpu-256gb" | "so1_5-24vcpu-192gb-intel" | "m3-32vcpu-256gb-intel" | "g-48vcpu-192gb-intel" | "c2-60vcpu-120gb-intel" | "gd-48vcpu-192gb-intel" | "so1_5-24vcpu-192gb" | "so-32vcpu-256gb-intel" | "so-32vcpu-256gb" | "m6-32vcpu-256gb" | "so1_5-32vcpu-256gb-intel" | "g-60vcpu-240gb-intel" | "m-48vcpu-384gb-intel" | "gd-60vcpu-240gb-intel" | "gpu-h100x1-80gb" | "so1_5-32vcpu-256gb" | "m3-48vcpu-384gb-intel" | "so-48vcpu-384gb-intel" | "gpu-h100x1-80gb-200" | "gpu-h100x8-640gb" | "gpu-h100x8-640gb-200" | "16gb" | "1gb" | "2gb" | "32gb" | "48gb" | "4gb" | "512mb" | "64gb" | "8gb" | "c2-4vcpu-8gb" | "s-12vcpu-48gb" | "s-16vcpu-64gb" | "s-1vcpu-3gb" | "s-20vcpu-96gb" | "s-24vcpu-128gb" | "s-32vcpu-192gb" | "s-3vcpu-1gb" | "s-6vcpu-16gb" | "s-8vcpu-32gb" | "so1_5-16vcpu-128gb" | "so1_5-24vcpu-192gb" | "so1_5-2vcpu-16gb" | "so1_5-32vcpu-256gb" | "so1_5-4vcpu-32gb" | "so1_5-8vcpu-64gb"
- The slug identifier for the type of Droplet to be used as workers in the node pool.
- List<String>
- A list of tag names to be applied to the Kubernetes cluster.
- taints List<Property Map>
A list of taints applied to all nodes in the pool.
This resource supports customized create timeouts. The default timeout is 30 minutes.
Supporting Types
DropletSlug, DropletSlugArgs
- Droplet
S1VCPU512MB10GB s-1vcpu-512mb-10gb- Droplet
S1VCPU1GB s-1vcpu-1gb- Droplet
S1VCPU1GB_AMD s-1vcpu-1gb-amd- Droplet
S1VCPU1GB_INTEL s-1vcpu-1gb-intel- Droplet
S1VCPU1GB35GB_INTEL s-1vcpu-1gb-35gb-intel- Droplet
S1VCPU2GB s-1vcpu-2gb- Droplet
S1VCPU2GB_AMD s-1vcpu-2gb-amd- Droplet
S1VCPU2GB_INTEL s-1vcpu-2gb-intel- Droplet
S1VCPU2GB70GB_INTEL s-1vcpu-2gb-70gb-intel- Droplet
S2VCPU2GB s-2vcpu-2gb- Droplet
S2VCPU2GB_AMD s-2vcpu-2gb-amd- Droplet
S2VCPU2GB_INTEL s-2vcpu-2gb-intel- Droplet
S2VCPU2GB90GB_INTEL s-2vcpu-2gb-90gb-intel- Droplet
S2VCPU4GB s-2vcpu-4gb- Droplet
S2VCPU4GB_AMD s-2vcpu-4gb-amd- Droplet
S2VCPU4GB_INTEL s-2vcpu-4gb-intel- Droplet
S2VCPU4GB120GB_INTEL s-2vcpu-4gb-120gb-intel- Droplet
S2VCPU8GB_AMD s-2vcpu-8gb-amd- Droplet
C2 c-2- Droplet
C22VCPU4GB c2-2vcpu-4gb- Droplet
S2VCPU8GB160GB_INTEL s-2vcpu-8gb-160gb-intel- Droplet
S4VCPU8GB s-4vcpu-8gb- Droplet
S4VCPU8GB_AMD s-4vcpu-8gb-amd- Droplet
S4VCPU8GB_INTEL s-4vcpu-8gb-intel- Droplet
G2VCPU8GB g-2vcpu-8gb- Droplet
S4VCPU8GB240GB_INTEL s-4vcpu-8gb-240gb-intel- Droplet
GD2VCPU8GB gd-2vcpu-8gb- Droplet
G2VCPU8GB_INTEL g-2vcpu-8gb-intel- Droplet
GD2VCPU8GB_INTEL gd-2vcpu-8gb-intel- Droplet
S4VCPU16GB_AMD s-4vcpu-16gb-amd- Droplet
M2VCPU16GB m-2vcpu-16gb- Droplet
C4 c-4- Droplet
C24VCPU8GB c2-4vcpu-8gb- Droplet
S4VCPU16GB320GB_INTEL s-4vcpu-16gb-320gb-intel- Droplet
S8VCPU16GB s-8vcpu-16gb- Droplet
M2VCPU16GB_INTEL m-2vcpu-16gb-intel- Droplet
M32VCPU16GB m3-2vcpu-16gb- Droplet
C4_INTEL c-4-intel- Droplet
M32VCPU16GB_INTEL m3-2vcpu-16gb-intel- Droplet
S8VCPU16GB_AMD s-8vcpu-16gb-amd- Droplet
S8VCPU16GB_INTEL s-8vcpu-16gb-intel- Droplet
C24VCPU8GB_INTEL c2-4vcpu-8gb-intel- Droplet
G4VCPU16GB g-4vcpu-16gb- Droplet
S8VCPU16GB480GB_INTEL s-8vcpu-16gb-480gb-intel- Droplet
SO2VCPU16GB_INTEL so-2vcpu-16gb-intel- Droplet
SO2VCPU16GB so-2vcpu-16gb- Droplet
M62VCPU16GB m6-2vcpu-16gb- Droplet
GD4VCPU16GB gd-4vcpu-16gb- Droplet
SO1_52VCPU16GB_INTEL so1_5-2vcpu-16gb-intel- Droplet
G4VCPU16GB_INTEL g-4vcpu-16gb-intel- Droplet
GD4VCPU16GB_INTEL gd-4vcpu-16gb-intel- Droplet
SO1_52VCPU16GB so1_5-2vcpu-16gb- Droplet
S8VCPU32GB_AMD s-8vcpu-32gb-amd- Droplet
M4VCPU32GB m-4vcpu-32gb- Droplet
C8 c-8- Droplet
C28VCPU16GB c2-8vcpu-16gb- Droplet
S8VCPU32GB640GB_INTEL s-8vcpu-32gb-640gb-intel- Droplet
M4VCPU32GB_INTEL m-4vcpu-32gb-intel- Droplet
M34VCPU32GB m3-4vcpu-32gb- Droplet
C8_INTEL c-8-intel- Droplet
M34VCPU32GB_INTEL m3-4vcpu-32gb-intel- Droplet
C28VCPU16GB_INTEL c2-8vcpu-16gb-intel- Droplet
G8VCPU32GB g-8vcpu-32gb- Droplet
SO4VCPU32GB_INTEL so-4vcpu-32gb-intel- Droplet
SO4VCPU32GB so-4vcpu-32gb- Droplet
M64VCPU32GB m6-4vcpu-32gb- Droplet
GD8VCPU32GB gd-8vcpu-32gb- Droplet
SO1_54VCPU32GB_INTEL so1_5-4vcpu-32gb-intel- Droplet
G8VCPU32GB_INTEL g-8vcpu-32gb-intel- Droplet
GD8VCPU32GB_INTEL gd-8vcpu-32gb-intel- Droplet
SO1_54VCPU32GB so1_5-4vcpu-32gb- Droplet
M8VCPU64GB m-8vcpu-64gb- Droplet
C16 c-16- Droplet
C216VCPU32GB c2-16vcpu-32gb- Droplet
M8VCPU64GB_INTEL m-8vcpu-64gb-intel- Droplet
M38VCPU64GB m3-8vcpu-64gb- Droplet
C16_INTEL c-16-intel- Droplet
M38VCPU64GB_INTEL m3-8vcpu-64gb-intel- Droplet
C216VCPU32GB_INTEL c2-16vcpu-32gb-intel- Droplet
G16VCPU64GB g-16vcpu-64gb- Droplet
SO8VCPU64GB_INTEL so-8vcpu-64gb-intel- Droplet
SO8VCPU64GB so-8vcpu-64gb- Droplet
M68VCPU64GB m6-8vcpu-64gb- Droplet
GD16VCPU64GB gd-16vcpu-64gb- Droplet
SO1_58VCPU64GB_INTEL so1_5-8vcpu-64gb-intel- Droplet
G16VCPU64GB_INTEL g-16vcpu-64gb-intel- Droplet
GD16VCPU64GB_INTEL gd-16vcpu-64gb-intel- Droplet
SO1_58VCPU64GB so1_5-8vcpu-64gb- Droplet
M16VCPU128GB m-16vcpu-128gb- Droplet
C32 c-32- Droplet
C232VCPU64GB c2-32vcpu-64gb- Droplet
M16VCPU128GB_INTEL m-16vcpu-128gb-intel- Droplet
M316VCPU128GB m3-16vcpu-128gb- Droplet
C32_INTEL c-32-intel- Droplet
M316VCPU128GB_INTEL m3-16vcpu-128gb-intel- Droplet
C232VCPU64GB_INTEL c2-32vcpu-64gb-intel- Droplet
C48 c-48- Droplet
M24VCPU192GB m-24vcpu-192gb- Droplet
G32VCPU128GB g-32vcpu-128gb- Droplet
SO16VCPU128GB_INTEL so-16vcpu-128gb-intel- Droplet
SO16VCPU128GB so-16vcpu-128gb- Droplet
M616VCPU128GB m6-16vcpu-128gb- Droplet
GD32VCPU128GB gd-32vcpu-128gb- Droplet
SO1_516VCPU128GB_INTEL so1_5-16vcpu-128gb-intel- Droplet
C248VCPU96GB c2-48vcpu-96gb- Droplet
M24VCPU192GB_INTEL m-24vcpu-192gb-intel- Droplet
G32VCPU128GB_INTEL g-32vcpu-128gb-intel- Droplet
M324VCPU192GB m3-24vcpu-192gb- Droplet
G40VCPU160GB g-40vcpu-160gb- Droplet
GD32VCPU128GB_INTEL gd-32vcpu-128gb-intel- Droplet
SO1_516VCPU128GB so1_5-16vcpu-128gb- Droplet
C48_INTEL c-48-intel- Droplet
M324VCPU192GB_INTEL m3-24vcpu-192gb-intel- Droplet
M32VCPU256GB m-32vcpu-256gb- Droplet
GD40VCPU160GB gd-40vcpu-160gb- Droplet
C248VCPU96GB_INTEL c2-48vcpu-96gb-intel- Droplet
SO24VCPU192GB_INTEL so-24vcpu-192gb-intel- Droplet
SO24VCPU192GB so-24vcpu-192gb- Droplet
M624VCPU192GB m6-24vcpu-192gb- Droplet
M32VCPU256GB_INTEL m-32vcpu-256gb-intel- Droplet
C60_INTEL c-60-intel- Droplet
M332VCPU256GB m3-32vcpu-256gb- Droplet
SO1_524VCPU192GB_INTEL so1_5-24vcpu-192gb-intel- Droplet
M332VCPU256GB_INTEL m3-32vcpu-256gb-intel- Droplet
G48VCPU192GB_INTEL g-48vcpu-192gb-intel- Droplet
C260VCPU120GB_INTEL c2-60vcpu-120gb-intel- Droplet
GD48VCPU192GB_INTEL gd-48vcpu-192gb-intel- Droplet
SO1_524VCPU192GB so1_5-24vcpu-192gb- Droplet
SO32VCPU256GB_INTEL so-32vcpu-256gb-intel- Droplet
SO32VCPU256GB so-32vcpu-256gb- Droplet
M632VCPU256GB m6-32vcpu-256gb- Droplet
SO1_532VCPU256GB_INTEL so1_5-32vcpu-256gb-intel- Droplet
G60VCPU240GB_INTEL g-60vcpu-240gb-intel- Droplet
M48VCPU384GB_INTEL m-48vcpu-384gb-intel- Droplet
GD60VCPU240GB_INTEL gd-60vcpu-240gb-intel- Droplet
GPUH100X180GB gpu-h100x1-80gb- Droplet
SO1_532VCPU256GB so1_5-32vcpu-256gb- Droplet
M348VCPU384GB_INTEL m3-48vcpu-384gb-intel- Droplet
SO48VCPU384GB_INTEL so-48vcpu-384gb-intel- Droplet
GPUH100X180GB200 gpu-h100x1-80gb-200- Droplet
GPUH100X8640GB gpu-h100x8-640gb- Droplet
GPUH100X8640GB200 gpu-h100x8-640gb-200- Droplet16GB
16gb- Droplet1GB
1gb- Droplet2GB
2gb- Droplet32GB
32gb- Droplet48GB
48gb- Droplet4GB
4gb- Droplet512mb
512mb- Droplet64GB
64gb- Droplet8GB
8gb- Droplet
C22VCPU8GB c2-4vcpu-8gb- Droplet
S12VCPU48GB s-12vcpu-48gb- Droplet
S16VCPU64GB s-16vcpu-64gb- Droplet
S1VCPU3GB s-1vcpu-3gb- Droplet
S20VCPU96GB s-20vcpu-96gb- Droplet
S24VCPU128GB s-24vcpu-128gb- Droplet
S32VCPU192GB s-32vcpu-192gb- Droplet
S3VCPU1GB s-3vcpu-1gb- Droplet
S6VCPU16GB s-6vcpu-16gb- Droplet
S8VCPU32GB s-8vcpu-32gb- Droplet
SO1516VCPU128GB so1_5-16vcpu-128gb- Droplet
SO1524VCPU192GB so1_5-24vcpu-192gb- Droplet
SO152VCPU16GB so1_5-2vcpu-16gb- Droplet
SO1532VCPU256GB so1_5-32vcpu-256gb- Droplet
SO154VCPU32GB so1_5-4vcpu-32gb- Droplet
SO158VCPU64GB so1_5-8vcpu-64gb
- Droplet
Slug Droplet S1VCPU512MB10GB s-1vcpu-512mb-10gb- Droplet
Slug Droplet S1VCPU1GB s-1vcpu-1gb- Droplet
Slug_Droplet S1VCPU1GB_AMD s-1vcpu-1gb-amd- Droplet
Slug_Droplet S1VCPU1GB_INTEL s-1vcpu-1gb-intel- Droplet
Slug_Droplet S1VCPU1GB35GB_INTEL s-1vcpu-1gb-35gb-intel- Droplet
Slug Droplet S1VCPU2GB s-1vcpu-2gb- Droplet
Slug_Droplet S1VCPU2GB_AMD s-1vcpu-2gb-amd- Droplet
Slug_Droplet S1VCPU2GB_INTEL s-1vcpu-2gb-intel- Droplet
Slug_Droplet S1VCPU2GB70GB_INTEL s-1vcpu-2gb-70gb-intel- Droplet
Slug Droplet S2VCPU2GB s-2vcpu-2gb- Droplet
Slug_Droplet S2VCPU2GB_AMD s-2vcpu-2gb-amd- Droplet
Slug_Droplet S2VCPU2GB_INTEL s-2vcpu-2gb-intel- Droplet
Slug_Droplet S2VCPU2GB90GB_INTEL s-2vcpu-2gb-90gb-intel- Droplet
Slug Droplet S2VCPU4GB s-2vcpu-4gb- Droplet
Slug_Droplet S2VCPU4GB_AMD s-2vcpu-4gb-amd- Droplet
Slug_Droplet S2VCPU4GB_INTEL s-2vcpu-4gb-intel- Droplet
Slug_Droplet S2VCPU4GB120GB_INTEL s-2vcpu-4gb-120gb-intel- Droplet
Slug_Droplet S2VCPU8GB_AMD s-2vcpu-8gb-amd- Droplet
Slug Droplet C2 c-2- Droplet
Slug Droplet C22VCPU4GB c2-2vcpu-4gb- Droplet
Slug_Droplet S2VCPU8GB160GB_INTEL s-2vcpu-8gb-160gb-intel- Droplet
Slug Droplet S4VCPU8GB s-4vcpu-8gb- Droplet
Slug_Droplet S4VCPU8GB_AMD s-4vcpu-8gb-amd- Droplet
Slug_Droplet S4VCPU8GB_INTEL s-4vcpu-8gb-intel- Droplet
Slug Droplet G2VCPU8GB g-2vcpu-8gb- Droplet
Slug_Droplet S4VCPU8GB240GB_INTEL s-4vcpu-8gb-240gb-intel- Droplet
Slug Droplet GD2VCPU8GB gd-2vcpu-8gb- Droplet
Slug_Droplet G2VCPU8GB_INTEL g-2vcpu-8gb-intel- Droplet
Slug_Droplet GD2VCPU8GB_INTEL gd-2vcpu-8gb-intel- Droplet
Slug_Droplet S4VCPU16GB_AMD s-4vcpu-16gb-amd- Droplet
Slug Droplet M2VCPU16GB m-2vcpu-16gb- Droplet
Slug Droplet C4 c-4- Droplet
Slug Droplet C24VCPU8GB c2-4vcpu-8gb- Droplet
Slug_Droplet S4VCPU16GB320GB_INTEL s-4vcpu-16gb-320gb-intel- Droplet
Slug Droplet S8VCPU16GB s-8vcpu-16gb- Droplet
Slug_Droplet M2VCPU16GB_INTEL m-2vcpu-16gb-intel- Droplet
Slug Droplet M32VCPU16GB m3-2vcpu-16gb- Droplet
Slug_Droplet C4_INTEL c-4-intel- Droplet
Slug_Droplet M32VCPU16GB_INTEL m3-2vcpu-16gb-intel- Droplet
Slug_Droplet S8VCPU16GB_AMD s-8vcpu-16gb-amd- Droplet
Slug_Droplet S8VCPU16GB_INTEL s-8vcpu-16gb-intel- Droplet
Slug_Droplet C24VCPU8GB_INTEL c2-4vcpu-8gb-intel- Droplet
Slug Droplet G4VCPU16GB g-4vcpu-16gb- Droplet
Slug_Droplet S8VCPU16GB480GB_INTEL s-8vcpu-16gb-480gb-intel- Droplet
Slug_Droplet SO2VCPU16GB_INTEL so-2vcpu-16gb-intel- Droplet
Slug Droplet SO2VCPU16GB so-2vcpu-16gb- Droplet
Slug Droplet M62VCPU16GB m6-2vcpu-16gb- Droplet
Slug Droplet GD4VCPU16GB gd-4vcpu-16gb- Droplet
Slug_Droplet SO1_52VCPU16GB_INTEL so1_5-2vcpu-16gb-intel- Droplet
Slug_Droplet G4VCPU16GB_INTEL g-4vcpu-16gb-intel- Droplet
Slug_Droplet GD4VCPU16GB_INTEL gd-4vcpu-16gb-intel- Droplet
Slug_Droplet SO1_52VCPU16GB so1_5-2vcpu-16gb- Droplet
Slug_Droplet S8VCPU32GB_AMD s-8vcpu-32gb-amd- Droplet
Slug Droplet M4VCPU32GB m-4vcpu-32gb- Droplet
Slug Droplet C8 c-8- Droplet
Slug Droplet C28VCPU16GB c2-8vcpu-16gb- Droplet
Slug_Droplet S8VCPU32GB640GB_INTEL s-8vcpu-32gb-640gb-intel- Droplet
Slug_Droplet M4VCPU32GB_INTEL m-4vcpu-32gb-intel- Droplet
Slug Droplet M34VCPU32GB m3-4vcpu-32gb- Droplet
Slug_Droplet C8_INTEL c-8-intel- Droplet
Slug_Droplet M34VCPU32GB_INTEL m3-4vcpu-32gb-intel- Droplet
Slug_Droplet C28VCPU16GB_INTEL c2-8vcpu-16gb-intel- Droplet
Slug Droplet G8VCPU32GB g-8vcpu-32gb- Droplet
Slug_Droplet SO4VCPU32GB_INTEL so-4vcpu-32gb-intel- Droplet
Slug Droplet SO4VCPU32GB so-4vcpu-32gb- Droplet
Slug Droplet M64VCPU32GB m6-4vcpu-32gb- Droplet
Slug Droplet GD8VCPU32GB gd-8vcpu-32gb- Droplet
Slug_Droplet SO1_54VCPU32GB_INTEL so1_5-4vcpu-32gb-intel- Droplet
Slug_Droplet G8VCPU32GB_INTEL g-8vcpu-32gb-intel- Droplet
Slug_Droplet GD8VCPU32GB_INTEL gd-8vcpu-32gb-intel- Droplet
Slug_Droplet SO1_54VCPU32GB so1_5-4vcpu-32gb- Droplet
Slug Droplet M8VCPU64GB m-8vcpu-64gb- Droplet
Slug Droplet C16 c-16- Droplet
Slug Droplet C216VCPU32GB c2-16vcpu-32gb- Droplet
Slug_Droplet M8VCPU64GB_INTEL m-8vcpu-64gb-intel- Droplet
Slug Droplet M38VCPU64GB m3-8vcpu-64gb- Droplet
Slug_Droplet C16_INTEL c-16-intel- Droplet
Slug_Droplet M38VCPU64GB_INTEL m3-8vcpu-64gb-intel- Droplet
Slug_Droplet C216VCPU32GB_INTEL c2-16vcpu-32gb-intel- Droplet
Slug Droplet G16VCPU64GB g-16vcpu-64gb- Droplet
Slug_Droplet SO8VCPU64GB_INTEL so-8vcpu-64gb-intel- Droplet
Slug Droplet SO8VCPU64GB so-8vcpu-64gb- Droplet
Slug Droplet M68VCPU64GB m6-8vcpu-64gb- Droplet
Slug Droplet GD16VCPU64GB gd-16vcpu-64gb- Droplet
Slug_Droplet SO1_58VCPU64GB_INTEL so1_5-8vcpu-64gb-intel- Droplet
Slug_Droplet G16VCPU64GB_INTEL g-16vcpu-64gb-intel- Droplet
Slug_Droplet GD16VCPU64GB_INTEL gd-16vcpu-64gb-intel- Droplet
Slug_Droplet SO1_58VCPU64GB so1_5-8vcpu-64gb- Droplet
Slug Droplet M16VCPU128GB m-16vcpu-128gb- Droplet
Slug Droplet C32 c-32- Droplet
Slug Droplet C232VCPU64GB c2-32vcpu-64gb- Droplet
Slug_Droplet M16VCPU128GB_INTEL m-16vcpu-128gb-intel- Droplet
Slug Droplet M316VCPU128GB m3-16vcpu-128gb- Droplet
Slug_Droplet C32_INTEL c-32-intel- Droplet
Slug_Droplet M316VCPU128GB_INTEL m3-16vcpu-128gb-intel- Droplet
Slug_Droplet C232VCPU64GB_INTEL c2-32vcpu-64gb-intel- Droplet
Slug Droplet C48 c-48- Droplet
Slug Droplet M24VCPU192GB m-24vcpu-192gb- Droplet
Slug Droplet G32VCPU128GB g-32vcpu-128gb- Droplet
Slug_Droplet SO16VCPU128GB_INTEL so-16vcpu-128gb-intel- Droplet
Slug Droplet SO16VCPU128GB so-16vcpu-128gb- Droplet
Slug Droplet M616VCPU128GB m6-16vcpu-128gb- Droplet
Slug Droplet GD32VCPU128GB gd-32vcpu-128gb- Droplet
Slug_Droplet SO1_516VCPU128GB_INTEL so1_5-16vcpu-128gb-intel- Droplet
Slug Droplet C248VCPU96GB c2-48vcpu-96gb- Droplet
Slug_Droplet M24VCPU192GB_INTEL m-24vcpu-192gb-intel- Droplet
Slug_Droplet G32VCPU128GB_INTEL g-32vcpu-128gb-intel- Droplet
Slug Droplet M324VCPU192GB m3-24vcpu-192gb- Droplet
Slug Droplet G40VCPU160GB g-40vcpu-160gb- Droplet
Slug_Droplet GD32VCPU128GB_INTEL gd-32vcpu-128gb-intel- Droplet
Slug_Droplet SO1_516VCPU128GB so1_5-16vcpu-128gb- Droplet
Slug_Droplet C48_INTEL c-48-intel- Droplet
Slug_Droplet M324VCPU192GB_INTEL m3-24vcpu-192gb-intel- Droplet
Slug Droplet M32VCPU256GB m-32vcpu-256gb- Droplet
Slug Droplet GD40VCPU160GB gd-40vcpu-160gb- Droplet
Slug_Droplet C248VCPU96GB_INTEL c2-48vcpu-96gb-intel- Droplet
Slug_Droplet SO24VCPU192GB_INTEL so-24vcpu-192gb-intel- Droplet
Slug Droplet SO24VCPU192GB so-24vcpu-192gb- Droplet
Slug Droplet M624VCPU192GB m6-24vcpu-192gb- Droplet
Slug_Droplet M32VCPU256GB_INTEL m-32vcpu-256gb-intel- Droplet
Slug_Droplet C60_INTEL c-60-intel- Droplet
Slug Droplet M332VCPU256GB m3-32vcpu-256gb- Droplet
Slug_Droplet SO1_524VCPU192GB_INTEL so1_5-24vcpu-192gb-intel- Droplet
Slug_Droplet M332VCPU256GB_INTEL m3-32vcpu-256gb-intel- Droplet
Slug_Droplet G48VCPU192GB_INTEL g-48vcpu-192gb-intel- Droplet
Slug_Droplet C260VCPU120GB_INTEL c2-60vcpu-120gb-intel- Droplet
Slug_Droplet GD48VCPU192GB_INTEL gd-48vcpu-192gb-intel- Droplet
Slug_Droplet SO1_524VCPU192GB so1_5-24vcpu-192gb- Droplet
Slug_Droplet SO32VCPU256GB_INTEL so-32vcpu-256gb-intel- Droplet
Slug Droplet SO32VCPU256GB so-32vcpu-256gb- Droplet
Slug Droplet M632VCPU256GB m6-32vcpu-256gb- Droplet
Slug_Droplet SO1_532VCPU256GB_INTEL so1_5-32vcpu-256gb-intel- Droplet
Slug_Droplet G60VCPU240GB_INTEL g-60vcpu-240gb-intel- Droplet
Slug_Droplet M48VCPU384GB_INTEL m-48vcpu-384gb-intel- Droplet
Slug_Droplet GD60VCPU240GB_INTEL gd-60vcpu-240gb-intel- Droplet
Slug Droplet GPUH100X180GB gpu-h100x1-80gb- Droplet
Slug_Droplet SO1_532VCPU256GB so1_5-32vcpu-256gb- Droplet
Slug_Droplet M348VCPU384GB_INTEL m3-48vcpu-384gb-intel- Droplet
Slug_Droplet SO48VCPU384GB_INTEL so-48vcpu-384gb-intel- Droplet
Slug Droplet GPUH100X180GB200 gpu-h100x1-80gb-200- Droplet
Slug Droplet GPUH100X8640GB gpu-h100x8-640gb- Droplet
Slug Droplet GPUH100X8640GB200 gpu-h100x8-640gb-200- Droplet
Slug Droplet16GB 16gb- Droplet
Slug Droplet1GB 1gb- Droplet
Slug Droplet2GB 2gb- Droplet
Slug Droplet32GB 32gb- Droplet
Slug Droplet48GB 48gb- Droplet
Slug Droplet4GB 4gb- Droplet
Slug Droplet512mb 512mb- Droplet
Slug Droplet64GB 64gb- Droplet
Slug Droplet8GB 8gb- Droplet
Slug Droplet C22VCPU8GB c2-4vcpu-8gb- Droplet
Slug Droplet S12VCPU48GB s-12vcpu-48gb- Droplet
Slug Droplet S16VCPU64GB s-16vcpu-64gb- Droplet
Slug Droplet S1VCPU3GB s-1vcpu-3gb- Droplet
Slug Droplet S20VCPU96GB s-20vcpu-96gb- Droplet
Slug Droplet S24VCPU128GB s-24vcpu-128gb- Droplet
Slug Droplet S32VCPU192GB s-32vcpu-192gb- Droplet
Slug Droplet S3VCPU1GB s-3vcpu-1gb- Droplet
Slug Droplet S6VCPU16GB s-6vcpu-16gb- Droplet
Slug Droplet S8VCPU32GB s-8vcpu-32gb- Droplet
Slug Droplet SO1516VCPU128GB so1_5-16vcpu-128gb- Droplet
Slug Droplet SO1524VCPU192GB so1_5-24vcpu-192gb- Droplet
Slug Droplet SO152VCPU16GB so1_5-2vcpu-16gb- Droplet
Slug Droplet SO1532VCPU256GB so1_5-32vcpu-256gb- Droplet
Slug Droplet SO154VCPU32GB so1_5-4vcpu-32gb- Droplet
Slug Droplet SO158VCPU64GB so1_5-8vcpu-64gb
- Droplet
S1VCPU512MB10GB s-1vcpu-512mb-10gb- Droplet
S1VCPU1GB s-1vcpu-1gb- Droplet
S1VCPU1GBAMD s-1vcpu-1gb-amd- Droplet
S1VCPU1GBINTEL s-1vcpu-1gb-intel- Droplet
S1VCPU1GB35GBINTEL s-1vcpu-1gb-35gb-intel- Droplet
S1VCPU2GB s-1vcpu-2gb- Droplet
S1VCPU2GBAMD s-1vcpu-2gb-amd- Droplet
S1VCPU2GBINTEL s-1vcpu-2gb-intel- Droplet
S1VCPU2GB70GBINTEL s-1vcpu-2gb-70gb-intel- Droplet
S2VCPU2GB s-2vcpu-2gb- Droplet
S2VCPU2GBAMD s-2vcpu-2gb-amd- Droplet
S2VCPU2GBINTEL s-2vcpu-2gb-intel- Droplet
S2VCPU2GB90GBINTEL s-2vcpu-2gb-90gb-intel- Droplet
S2VCPU4GB s-2vcpu-4gb- Droplet
S2VCPU4GBAMD s-2vcpu-4gb-amd- Droplet
S2VCPU4GBINTEL s-2vcpu-4gb-intel- Droplet
S2VCPU4GB120GBINTEL s-2vcpu-4gb-120gb-intel- Droplet
S2VCPU8GBAMD s-2vcpu-8gb-amd- Droplet
C2 c-2- Droplet
C22VCPU4GB c2-2vcpu-4gb- Droplet
S2VCPU8GB160GBINTEL s-2vcpu-8gb-160gb-intel- Droplet
S4VCPU8GB s-4vcpu-8gb- Droplet
S4VCPU8GBAMD s-4vcpu-8gb-amd- Droplet
S4VCPU8GBINTEL s-4vcpu-8gb-intel- Droplet
G2VCPU8GB g-2vcpu-8gb- Droplet
S4VCPU8GB240GBINTEL s-4vcpu-8gb-240gb-intel- Droplet
GD2VCPU8GB gd-2vcpu-8gb- Droplet
G2VCPU8GBINTEL g-2vcpu-8gb-intel- Droplet
GD2VCPU8GBINTEL gd-2vcpu-8gb-intel- Droplet
S4VCPU16GBAMD s-4vcpu-16gb-amd- Droplet
M2VCPU16GB m-2vcpu-16gb- Droplet
C4 c-4- Droplet
C24VCPU8GB c2-4vcpu-8gb- Droplet
S4VCPU16GB320GBINTEL s-4vcpu-16gb-320gb-intel- Droplet
S8VCPU16GB s-8vcpu-16gb- Droplet
M2VCPU16GBINTEL m-2vcpu-16gb-intel- Droplet
M32VCPU16GB m3-2vcpu-16gb- Droplet
C4INTEL c-4-intel- Droplet
M32VCPU16GBINTEL m3-2vcpu-16gb-intel- Droplet
S8VCPU16GBAMD s-8vcpu-16gb-amd- Droplet
S8VCPU16GBINTEL s-8vcpu-16gb-intel- Droplet
C24VCPU8GBINTEL c2-4vcpu-8gb-intel- Droplet
G4VCPU16GB g-4vcpu-16gb- Droplet
S8VCPU16GB480GBINTEL s-8vcpu-16gb-480gb-intel- Droplet
SO2VCPU16GBINTEL so-2vcpu-16gb-intel- Droplet
SO2VCPU16GB so-2vcpu-16gb- Droplet
M62VCPU16GB m6-2vcpu-16gb- Droplet
GD4VCPU16GB gd-4vcpu-16gb- Droplet
SO1_52VCPU16GBINTEL so1_5-2vcpu-16gb-intel- Droplet
G4VCPU16GBINTEL g-4vcpu-16gb-intel- Droplet
GD4VCPU16GBINTEL gd-4vcpu-16gb-intel- Droplet
SO1_52VCPU16GB so1_5-2vcpu-16gb- Droplet
S8VCPU32GBAMD s-8vcpu-32gb-amd- Droplet
M4VCPU32GB m-4vcpu-32gb- Droplet
C8 c-8- Droplet
C28VCPU16GB c2-8vcpu-16gb- Droplet
S8VCPU32GB640GBINTEL s-8vcpu-32gb-640gb-intel- Droplet
M4VCPU32GBINTEL m-4vcpu-32gb-intel- Droplet
M34VCPU32GB m3-4vcpu-32gb- Droplet
C8INTEL c-8-intel- Droplet
M34VCPU32GBINTEL m3-4vcpu-32gb-intel- Droplet
C28VCPU16GBINTEL c2-8vcpu-16gb-intel- Droplet
G8VCPU32GB g-8vcpu-32gb- Droplet
SO4VCPU32GBINTEL so-4vcpu-32gb-intel- Droplet
SO4VCPU32GB so-4vcpu-32gb- Droplet
M64VCPU32GB m6-4vcpu-32gb- Droplet
GD8VCPU32GB gd-8vcpu-32gb- Droplet
SO1_54VCPU32GBINTEL so1_5-4vcpu-32gb-intel- Droplet
G8VCPU32GBINTEL g-8vcpu-32gb-intel- Droplet
GD8VCPU32GBINTEL gd-8vcpu-32gb-intel- Droplet
SO1_54VCPU32GB so1_5-4vcpu-32gb- Droplet
M8VCPU64GB m-8vcpu-64gb- Droplet
C16 c-16- Droplet
C216VCPU32GB c2-16vcpu-32gb- Droplet
M8VCPU64GBINTEL m-8vcpu-64gb-intel- Droplet
M38VCPU64GB m3-8vcpu-64gb- Droplet
C16INTEL c-16-intel- Droplet
M38VCPU64GBINTEL m3-8vcpu-64gb-intel- Droplet
C216VCPU32GBINTEL c2-16vcpu-32gb-intel- Droplet
G16VCPU64GB g-16vcpu-64gb- Droplet
SO8VCPU64GBINTEL so-8vcpu-64gb-intel- Droplet
SO8VCPU64GB so-8vcpu-64gb- Droplet
M68VCPU64GB m6-8vcpu-64gb- Droplet
GD16VCPU64GB gd-16vcpu-64gb- Droplet
SO1_58VCPU64GBINTEL so1_5-8vcpu-64gb-intel- Droplet
G16VCPU64GBINTEL g-16vcpu-64gb-intel- Droplet
GD16VCPU64GBINTEL gd-16vcpu-64gb-intel- Droplet
SO1_58VCPU64GB so1_5-8vcpu-64gb- Droplet
M16VCPU128GB m-16vcpu-128gb- Droplet
C32 c-32- Droplet
C232VCPU64GB c2-32vcpu-64gb- Droplet
M16VCPU128GBINTEL m-16vcpu-128gb-intel- Droplet
M316VCPU128GB m3-16vcpu-128gb- Droplet
C32INTEL c-32-intel- Droplet
M316VCPU128GBINTEL m3-16vcpu-128gb-intel- Droplet
C232VCPU64GBINTEL c2-32vcpu-64gb-intel- Droplet
C48 c-48- Droplet
M24VCPU192GB m-24vcpu-192gb- Droplet
G32VCPU128GB g-32vcpu-128gb- Droplet
SO16VCPU128GBINTEL so-16vcpu-128gb-intel- Droplet
SO16VCPU128GB so-16vcpu-128gb- Droplet
M616VCPU128GB m6-16vcpu-128gb- Droplet
GD32VCPU128GB gd-32vcpu-128gb- Droplet
SO1_516VCPU128GBINTEL so1_5-16vcpu-128gb-intel- Droplet
C248VCPU96GB c2-48vcpu-96gb- Droplet
M24VCPU192GBINTEL m-24vcpu-192gb-intel- Droplet
G32VCPU128GBINTEL g-32vcpu-128gb-intel- Droplet
M324VCPU192GB m3-24vcpu-192gb- Droplet
G40VCPU160GB g-40vcpu-160gb- Droplet
GD32VCPU128GBINTEL gd-32vcpu-128gb-intel- Droplet
SO1_516VCPU128GB so1_5-16vcpu-128gb- Droplet
C48INTEL c-48-intel- Droplet
M324VCPU192GBINTEL m3-24vcpu-192gb-intel- Droplet
M32VCPU256GB m-32vcpu-256gb- Droplet
GD40VCPU160GB gd-40vcpu-160gb- Droplet
C248VCPU96GBINTEL c2-48vcpu-96gb-intel- Droplet
SO24VCPU192GBINTEL so-24vcpu-192gb-intel- Droplet
SO24VCPU192GB so-24vcpu-192gb- Droplet
M624VCPU192GB m6-24vcpu-192gb- Droplet
M32VCPU256GBINTEL m-32vcpu-256gb-intel- Droplet
C60INTEL c-60-intel- Droplet
M332VCPU256GB m3-32vcpu-256gb- Droplet
SO1_524VCPU192GBINTEL so1_5-24vcpu-192gb-intel- Droplet
M332VCPU256GBINTEL m3-32vcpu-256gb-intel- Droplet
G48VCPU192GBINTEL g-48vcpu-192gb-intel- Droplet
C260VCPU120GBINTEL c2-60vcpu-120gb-intel- Droplet
GD48VCPU192GBINTEL gd-48vcpu-192gb-intel- Droplet
SO1_524VCPU192GB so1_5-24vcpu-192gb- Droplet
SO32VCPU256GBINTEL so-32vcpu-256gb-intel- Droplet
SO32VCPU256GB so-32vcpu-256gb- Droplet
M632VCPU256GB m6-32vcpu-256gb- Droplet
SO1_532VCPU256GBINTEL so1_5-32vcpu-256gb-intel- Droplet
G60VCPU240GBINTEL g-60vcpu-240gb-intel- Droplet
M48VCPU384GBINTEL m-48vcpu-384gb-intel- Droplet
GD60VCPU240GBINTEL gd-60vcpu-240gb-intel- Droplet
GPUH100X180GB gpu-h100x1-80gb- Droplet
SO1_532VCPU256GB so1_5-32vcpu-256gb- Droplet
M348VCPU384GBINTEL m3-48vcpu-384gb-intel- Droplet
SO48VCPU384GBINTEL so-48vcpu-384gb-intel- Droplet
GPUH100X180GB200 gpu-h100x1-80gb-200- Droplet
GPUH100X8640GB gpu-h100x8-640gb- Droplet
GPUH100X8640GB200 gpu-h100x8-640gb-200- Droplet16GB
16gb- Droplet1GB
1gb- Droplet2GB
2gb- Droplet32GB
32gb- Droplet48GB
48gb- Droplet4GB
4gb- Droplet512mb
512mb- Droplet64GB
64gb- Droplet8GB
8gb- Droplet
C22VCPU8GB c2-4vcpu-8gb- Droplet
S12VCPU48GB s-12vcpu-48gb- Droplet
S16VCPU64GB s-16vcpu-64gb- Droplet
S1VCPU3GB s-1vcpu-3gb- Droplet
S20VCPU96GB s-20vcpu-96gb- Droplet
S24VCPU128GB s-24vcpu-128gb- Droplet
S32VCPU192GB s-32vcpu-192gb- Droplet
S3VCPU1GB s-3vcpu-1gb- Droplet
S6VCPU16GB s-6vcpu-16gb- Droplet
S8VCPU32GB s-8vcpu-32gb- Droplet
SO1516VCPU128GB so1_5-16vcpu-128gb- Droplet
SO1524VCPU192GB so1_5-24vcpu-192gb- Droplet
SO152VCPU16GB so1_5-2vcpu-16gb- Droplet
SO1532VCPU256GB so1_5-32vcpu-256gb- Droplet
SO154VCPU32GB so1_5-4vcpu-32gb- Droplet
SO158VCPU64GB so1_5-8vcpu-64gb
- Droplet
S1VCPU512MB10GB s-1vcpu-512mb-10gb- Droplet
S1VCPU1GB s-1vcpu-1gb- Droplet
S1VCPU1GB_AMD s-1vcpu-1gb-amd- Droplet
S1VCPU1GB_INTEL s-1vcpu-1gb-intel- Droplet
S1VCPU1GB35GB_INTEL s-1vcpu-1gb-35gb-intel- Droplet
S1VCPU2GB s-1vcpu-2gb- Droplet
S1VCPU2GB_AMD s-1vcpu-2gb-amd- Droplet
S1VCPU2GB_INTEL s-1vcpu-2gb-intel- Droplet
S1VCPU2GB70GB_INTEL s-1vcpu-2gb-70gb-intel- Droplet
S2VCPU2GB s-2vcpu-2gb- Droplet
S2VCPU2GB_AMD s-2vcpu-2gb-amd- Droplet
S2VCPU2GB_INTEL s-2vcpu-2gb-intel- Droplet
S2VCPU2GB90GB_INTEL s-2vcpu-2gb-90gb-intel- Droplet
S2VCPU4GB s-2vcpu-4gb- Droplet
S2VCPU4GB_AMD s-2vcpu-4gb-amd- Droplet
S2VCPU4GB_INTEL s-2vcpu-4gb-intel- Droplet
S2VCPU4GB120GB_INTEL s-2vcpu-4gb-120gb-intel- Droplet
S2VCPU8GB_AMD s-2vcpu-8gb-amd- Droplet
C2 c-2- Droplet
C22VCPU4GB c2-2vcpu-4gb- Droplet
S2VCPU8GB160GB_INTEL s-2vcpu-8gb-160gb-intel- Droplet
S4VCPU8GB s-4vcpu-8gb- Droplet
S4VCPU8GB_AMD s-4vcpu-8gb-amd- Droplet
S4VCPU8GB_INTEL s-4vcpu-8gb-intel- Droplet
G2VCPU8GB g-2vcpu-8gb- Droplet
S4VCPU8GB240GB_INTEL s-4vcpu-8gb-240gb-intel- Droplet
GD2VCPU8GB gd-2vcpu-8gb- Droplet
G2VCPU8GB_INTEL g-2vcpu-8gb-intel- Droplet
GD2VCPU8GB_INTEL gd-2vcpu-8gb-intel- Droplet
S4VCPU16GB_AMD s-4vcpu-16gb-amd- Droplet
M2VCPU16GB m-2vcpu-16gb- Droplet
C4 c-4- Droplet
C24VCPU8GB c2-4vcpu-8gb- Droplet
S4VCPU16GB320GB_INTEL s-4vcpu-16gb-320gb-intel- Droplet
S8VCPU16GB s-8vcpu-16gb- Droplet
M2VCPU16GB_INTEL m-2vcpu-16gb-intel- Droplet
M32VCPU16GB m3-2vcpu-16gb- Droplet
C4_INTEL c-4-intel- Droplet
M32VCPU16GB_INTEL m3-2vcpu-16gb-intel- Droplet
S8VCPU16GB_AMD s-8vcpu-16gb-amd- Droplet
S8VCPU16GB_INTEL s-8vcpu-16gb-intel- Droplet
C24VCPU8GB_INTEL c2-4vcpu-8gb-intel- Droplet
G4VCPU16GB g-4vcpu-16gb- Droplet
S8VCPU16GB480GB_INTEL s-8vcpu-16gb-480gb-intel- Droplet
SO2VCPU16GB_INTEL so-2vcpu-16gb-intel- Droplet
SO2VCPU16GB so-2vcpu-16gb- Droplet
M62VCPU16GB m6-2vcpu-16gb- Droplet
GD4VCPU16GB gd-4vcpu-16gb- Droplet
SO1_52VCPU16GB_INTEL so1_5-2vcpu-16gb-intel- Droplet
G4VCPU16GB_INTEL g-4vcpu-16gb-intel- Droplet
GD4VCPU16GB_INTEL gd-4vcpu-16gb-intel- Droplet
SO1_52VCPU16GB so1_5-2vcpu-16gb- Droplet
S8VCPU32GB_AMD s-8vcpu-32gb-amd- Droplet
M4VCPU32GB m-4vcpu-32gb- Droplet
C8 c-8- Droplet
C28VCPU16GB c2-8vcpu-16gb- Droplet
S8VCPU32GB640GB_INTEL s-8vcpu-32gb-640gb-intel- Droplet
M4VCPU32GB_INTEL m-4vcpu-32gb-intel- Droplet
M34VCPU32GB m3-4vcpu-32gb- Droplet
C8_INTEL c-8-intel- Droplet
M34VCPU32GB_INTEL m3-4vcpu-32gb-intel- Droplet
C28VCPU16GB_INTEL c2-8vcpu-16gb-intel- Droplet
G8VCPU32GB g-8vcpu-32gb- Droplet
SO4VCPU32GB_INTEL so-4vcpu-32gb-intel- Droplet
SO4VCPU32GB so-4vcpu-32gb- Droplet
M64VCPU32GB m6-4vcpu-32gb- Droplet
GD8VCPU32GB gd-8vcpu-32gb- Droplet
SO1_54VCPU32GB_INTEL so1_5-4vcpu-32gb-intel- Droplet
G8VCPU32GB_INTEL g-8vcpu-32gb-intel- Droplet
GD8VCPU32GB_INTEL gd-8vcpu-32gb-intel- Droplet
SO1_54VCPU32GB so1_5-4vcpu-32gb- Droplet
M8VCPU64GB m-8vcpu-64gb- Droplet
C16 c-16- Droplet
C216VCPU32GB c2-16vcpu-32gb- Droplet
M8VCPU64GB_INTEL m-8vcpu-64gb-intel- Droplet
M38VCPU64GB m3-8vcpu-64gb- Droplet
C16_INTEL c-16-intel- Droplet
M38VCPU64GB_INTEL m3-8vcpu-64gb-intel- Droplet
C216VCPU32GB_INTEL c2-16vcpu-32gb-intel- Droplet
G16VCPU64GB g-16vcpu-64gb- Droplet
SO8VCPU64GB_INTEL so-8vcpu-64gb-intel- Droplet
SO8VCPU64GB so-8vcpu-64gb- Droplet
M68VCPU64GB m6-8vcpu-64gb- Droplet
GD16VCPU64GB gd-16vcpu-64gb- Droplet
SO1_58VCPU64GB_INTEL so1_5-8vcpu-64gb-intel- Droplet
G16VCPU64GB_INTEL g-16vcpu-64gb-intel- Droplet
GD16VCPU64GB_INTEL gd-16vcpu-64gb-intel- Droplet
SO1_58VCPU64GB so1_5-8vcpu-64gb- Droplet
M16VCPU128GB m-16vcpu-128gb- Droplet
C32 c-32- Droplet
C232VCPU64GB c2-32vcpu-64gb- Droplet
M16VCPU128GB_INTEL m-16vcpu-128gb-intel- Droplet
M316VCPU128GB m3-16vcpu-128gb- Droplet
C32_INTEL c-32-intel- Droplet
M316VCPU128GB_INTEL m3-16vcpu-128gb-intel- Droplet
C232VCPU64GB_INTEL c2-32vcpu-64gb-intel- Droplet
C48 c-48- Droplet
M24VCPU192GB m-24vcpu-192gb- Droplet
G32VCPU128GB g-32vcpu-128gb- Droplet
SO16VCPU128GB_INTEL so-16vcpu-128gb-intel- Droplet
SO16VCPU128GB so-16vcpu-128gb- Droplet
M616VCPU128GB m6-16vcpu-128gb- Droplet
GD32VCPU128GB gd-32vcpu-128gb- Droplet
SO1_516VCPU128GB_INTEL so1_5-16vcpu-128gb-intel- Droplet
C248VCPU96GB c2-48vcpu-96gb- Droplet
M24VCPU192GB_INTEL m-24vcpu-192gb-intel- Droplet
G32VCPU128GB_INTEL g-32vcpu-128gb-intel- Droplet
M324VCPU192GB m3-24vcpu-192gb- Droplet
G40VCPU160GB g-40vcpu-160gb- Droplet
GD32VCPU128GB_INTEL gd-32vcpu-128gb-intel- Droplet
SO1_516VCPU128GB so1_5-16vcpu-128gb- Droplet
C48_INTEL c-48-intel- Droplet
M324VCPU192GB_INTEL m3-24vcpu-192gb-intel- Droplet
M32VCPU256GB m-32vcpu-256gb- Droplet
GD40VCPU160GB gd-40vcpu-160gb- Droplet
C248VCPU96GB_INTEL c2-48vcpu-96gb-intel- Droplet
SO24VCPU192GB_INTEL so-24vcpu-192gb-intel- Droplet
SO24VCPU192GB so-24vcpu-192gb- Droplet
M624VCPU192GB m6-24vcpu-192gb- Droplet
M32VCPU256GB_INTEL m-32vcpu-256gb-intel- Droplet
C60_INTEL c-60-intel- Droplet
M332VCPU256GB m3-32vcpu-256gb- Droplet
SO1_524VCPU192GB_INTEL so1_5-24vcpu-192gb-intel- Droplet
M332VCPU256GB_INTEL m3-32vcpu-256gb-intel- Droplet
G48VCPU192GB_INTEL g-48vcpu-192gb-intel- Droplet
C260VCPU120GB_INTEL c2-60vcpu-120gb-intel- Droplet
GD48VCPU192GB_INTEL gd-48vcpu-192gb-intel- Droplet
SO1_524VCPU192GB so1_5-24vcpu-192gb- Droplet
SO32VCPU256GB_INTEL so-32vcpu-256gb-intel- Droplet
SO32VCPU256GB so-32vcpu-256gb- Droplet
M632VCPU256GB m6-32vcpu-256gb- Droplet
SO1_532VCPU256GB_INTEL so1_5-32vcpu-256gb-intel- Droplet
G60VCPU240GB_INTEL g-60vcpu-240gb-intel- Droplet
M48VCPU384GB_INTEL m-48vcpu-384gb-intel- Droplet
GD60VCPU240GB_INTEL gd-60vcpu-240gb-intel- Droplet
GPUH100X180GB gpu-h100x1-80gb- Droplet
SO1_532VCPU256GB so1_5-32vcpu-256gb- Droplet
M348VCPU384GB_INTEL m3-48vcpu-384gb-intel- Droplet
SO48VCPU384GB_INTEL so-48vcpu-384gb-intel- Droplet
GPUH100X180GB200 gpu-h100x1-80gb-200- Droplet
GPUH100X8640GB gpu-h100x8-640gb- Droplet
GPUH100X8640GB200 gpu-h100x8-640gb-200- Droplet16GB
16gb- Droplet1GB
1gb- Droplet2GB
2gb- Droplet32GB
32gb- Droplet48GB
48gb- Droplet4GB
4gb- Droplet512mb
512mb- Droplet64GB
64gb- Droplet8GB
8gb- Droplet
C22VCPU8GB c2-4vcpu-8gb- Droplet
S12VCPU48GB s-12vcpu-48gb- Droplet
S16VCPU64GB s-16vcpu-64gb- Droplet
S1VCPU3GB s-1vcpu-3gb- Droplet
S20VCPU96GB s-20vcpu-96gb- Droplet
S24VCPU128GB s-24vcpu-128gb- Droplet
S32VCPU192GB s-32vcpu-192gb- Droplet
S3VCPU1GB s-3vcpu-1gb- Droplet
S6VCPU16GB s-6vcpu-16gb- Droplet
S8VCPU32GB s-8vcpu-32gb- Droplet
SO1516VCPU128GB so1_5-16vcpu-128gb- Droplet
SO1524VCPU192GB so1_5-24vcpu-192gb- Droplet
SO152VCPU16GB so1_5-2vcpu-16gb- Droplet
SO1532VCPU256GB so1_5-32vcpu-256gb- Droplet
SO154VCPU32GB so1_5-4vcpu-32gb- Droplet
SO158VCPU64GB so1_5-8vcpu-64gb
- DROPLET_S1_VCPU512_MB10_GB
s-1vcpu-512mb-10gb- DROPLET_S1_VCPU1_GB
s-1vcpu-1gb- DROPLET_S1_VCPU1_G_B_AMD
s-1vcpu-1gb-amd- DROPLET_S1_VCPU1_G_B_INTEL
s-1vcpu-1gb-intel- DROPLET_S1_VCPU1_GB35_G_B_INTEL
s-1vcpu-1gb-35gb-intel- DROPLET_S1_VCPU2_GB
s-1vcpu-2gb- DROPLET_S1_VCPU2_G_B_AMD
s-1vcpu-2gb-amd- DROPLET_S1_VCPU2_G_B_INTEL
s-1vcpu-2gb-intel- DROPLET_S1_VCPU2_GB70_G_B_INTEL
s-1vcpu-2gb-70gb-intel- DROPLET_S2_VCPU2_GB
s-2vcpu-2gb- DROPLET_S2_VCPU2_G_B_AMD
s-2vcpu-2gb-amd- DROPLET_S2_VCPU2_G_B_INTEL
s-2vcpu-2gb-intel- DROPLET_S2_VCPU2_GB90_G_B_INTEL
s-2vcpu-2gb-90gb-intel- DROPLET_S2_VCPU4_GB
s-2vcpu-4gb- DROPLET_S2_VCPU4_G_B_AMD
s-2vcpu-4gb-amd- DROPLET_S2_VCPU4_G_B_INTEL
s-2vcpu-4gb-intel- DROPLET_S2_VCPU4_GB120_G_B_INTEL
s-2vcpu-4gb-120gb-intel- DROPLET_S2_VCPU8_G_B_AMD
s-2vcpu-8gb-amd- DROPLET_C2
c-2- DROPLET_C22_VCPU4_GB
c2-2vcpu-4gb- DROPLET_S2_VCPU8_GB160_G_B_INTEL
s-2vcpu-8gb-160gb-intel- DROPLET_S4_VCPU8_GB
s-4vcpu-8gb- DROPLET_S4_VCPU8_G_B_AMD
s-4vcpu-8gb-amd- DROPLET_S4_VCPU8_G_B_INTEL
s-4vcpu-8gb-intel- DROPLET_G2_VCPU8_GB
g-2vcpu-8gb- DROPLET_S4_VCPU8_GB240_G_B_INTEL
s-4vcpu-8gb-240gb-intel- DROPLET_GD2_VCPU8_GB
gd-2vcpu-8gb- DROPLET_G2_VCPU8_G_B_INTEL
g-2vcpu-8gb-intel- DROPLET_GD2_VCPU8_G_B_INTEL
gd-2vcpu-8gb-intel- DROPLET_S4_VCPU16_G_B_AMD
s-4vcpu-16gb-amd- DROPLET_M2_VCPU16_GB
m-2vcpu-16gb- DROPLET_C4
c-4- DROPLET_C24_VCPU8_GB
c2-4vcpu-8gb- DROPLET_S4_VCPU16_GB320_G_B_INTEL
s-4vcpu-16gb-320gb-intel- DROPLET_S8_VCPU16_GB
s-8vcpu-16gb- DROPLET_M2_VCPU16_G_B_INTEL
m-2vcpu-16gb-intel- DROPLET_M32_VCPU16_GB
m3-2vcpu-16gb- DROPLET_C4_INTEL
c-4-intel- DROPLET_M32_VCPU16_G_B_INTEL
m3-2vcpu-16gb-intel- DROPLET_S8_VCPU16_G_B_AMD
s-8vcpu-16gb-amd- DROPLET_S8_VCPU16_G_B_INTEL
s-8vcpu-16gb-intel- DROPLET_C24_VCPU8_G_B_INTEL
c2-4vcpu-8gb-intel- DROPLET_G4_VCPU16_GB
g-4vcpu-16gb- DROPLET_S8_VCPU16_GB480_G_B_INTEL
s-8vcpu-16gb-480gb-intel- DROPLET_SO2_VCPU16_G_B_INTEL
so-2vcpu-16gb-intel- DROPLET_SO2_VCPU16_GB
so-2vcpu-16gb- DROPLET_M62_VCPU16_GB
m6-2vcpu-16gb- DROPLET_GD4_VCPU16_GB
gd-4vcpu-16gb- DROPLET_SO1_52_VCPU16_G_B_INTEL
so1_5-2vcpu-16gb-intel- DROPLET_G4_VCPU16_G_B_INTEL
g-4vcpu-16gb-intel- DROPLET_GD4_VCPU16_G_B_INTEL
gd-4vcpu-16gb-intel- DROPLET_SO1_52_VCPU16_GB
so1_5-2vcpu-16gb- DROPLET_S8_VCPU32_G_B_AMD
s-8vcpu-32gb-amd- DROPLET_M4_VCPU32_GB
m-4vcpu-32gb- DROPLET_C8
c-8- DROPLET_C28_VCPU16_GB
c2-8vcpu-16gb- DROPLET_S8_VCPU32_GB640_G_B_INTEL
s-8vcpu-32gb-640gb-intel- DROPLET_M4_VCPU32_G_B_INTEL
m-4vcpu-32gb-intel- DROPLET_M34_VCPU32_GB
m3-4vcpu-32gb- DROPLET_C8_INTEL
c-8-intel- DROPLET_M34_VCPU32_G_B_INTEL
m3-4vcpu-32gb-intel- DROPLET_C28_VCPU16_G_B_INTEL
c2-8vcpu-16gb-intel- DROPLET_G8_VCPU32_GB
g-8vcpu-32gb- DROPLET_SO4_VCPU32_G_B_INTEL
so-4vcpu-32gb-intel- DROPLET_SO4_VCPU32_GB
so-4vcpu-32gb- DROPLET_M64_VCPU32_GB
m6-4vcpu-32gb- DROPLET_GD8_VCPU32_GB
gd-8vcpu-32gb- DROPLET_SO1_54_VCPU32_G_B_INTEL
so1_5-4vcpu-32gb-intel- DROPLET_G8_VCPU32_G_B_INTEL
g-8vcpu-32gb-intel- DROPLET_GD8_VCPU32_G_B_INTEL
gd-8vcpu-32gb-intel- DROPLET_SO1_54_VCPU32_GB
so1_5-4vcpu-32gb- DROPLET_M8_VCPU64_GB
m-8vcpu-64gb- DROPLET_C16
c-16- DROPLET_C216_VCPU32_GB
c2-16vcpu-32gb- DROPLET_M8_VCPU64_G_B_INTEL
m-8vcpu-64gb-intel- DROPLET_M38_VCPU64_GB
m3-8vcpu-64gb- DROPLET_C16_INTEL
c-16-intel- DROPLET_M38_VCPU64_G_B_INTEL
m3-8vcpu-64gb-intel- DROPLET_C216_VCPU32_G_B_INTEL
c2-16vcpu-32gb-intel- DROPLET_G16_VCPU64_GB
g-16vcpu-64gb- DROPLET_SO8_VCPU64_G_B_INTEL
so-8vcpu-64gb-intel- DROPLET_SO8_VCPU64_GB
so-8vcpu-64gb- DROPLET_M68_VCPU64_GB
m6-8vcpu-64gb- DROPLET_GD16_VCPU64_GB
gd-16vcpu-64gb- DROPLET_SO1_58_VCPU64_G_B_INTEL
so1_5-8vcpu-64gb-intel- DROPLET_G16_VCPU64_G_B_INTEL
g-16vcpu-64gb-intel- DROPLET_GD16_VCPU64_G_B_INTEL
gd-16vcpu-64gb-intel- DROPLET_SO1_58_VCPU64_GB
so1_5-8vcpu-64gb- DROPLET_M16_VCPU128_GB
m-16vcpu-128gb- DROPLET_C32
c-32- DROPLET_C232_VCPU64_GB
c2-32vcpu-64gb- DROPLET_M16_VCPU128_G_B_INTEL
m-16vcpu-128gb-intel- DROPLET_M316_VCPU128_GB
m3-16vcpu-128gb- DROPLET_C32_INTEL
c-32-intel- DROPLET_M316_VCPU128_G_B_INTEL
m3-16vcpu-128gb-intel- DROPLET_C232_VCPU64_G_B_INTEL
c2-32vcpu-64gb-intel- DROPLET_C48
c-48- DROPLET_M24_VCPU192_GB
m-24vcpu-192gb- DROPLET_G32_VCPU128_GB
g-32vcpu-128gb- DROPLET_SO16_VCPU128_G_B_INTEL
so-16vcpu-128gb-intel- DROPLET_SO16_VCPU128_GB
so-16vcpu-128gb- DROPLET_M616_VCPU128_GB
m6-16vcpu-128gb- DROPLET_GD32_VCPU128_GB
gd-32vcpu-128gb- DROPLET_SO1_516_VCPU128_G_B_INTEL
so1_5-16vcpu-128gb-intel- DROPLET_C248_VCPU96_GB
c2-48vcpu-96gb- DROPLET_M24_VCPU192_G_B_INTEL
m-24vcpu-192gb-intel- DROPLET_G32_VCPU128_G_B_INTEL
g-32vcpu-128gb-intel- DROPLET_M324_VCPU192_GB
m3-24vcpu-192gb- DROPLET_G40_VCPU160_GB
g-40vcpu-160gb- DROPLET_GD32_VCPU128_G_B_INTEL
gd-32vcpu-128gb-intel- DROPLET_SO1_516_VCPU128_GB
so1_5-16vcpu-128gb- DROPLET_C48_INTEL
c-48-intel- DROPLET_M324_VCPU192_G_B_INTEL
m3-24vcpu-192gb-intel- DROPLET_M32_VCPU256_GB
m-32vcpu-256gb- DROPLET_GD40_VCPU160_GB
gd-40vcpu-160gb- DROPLET_C248_VCPU96_G_B_INTEL
c2-48vcpu-96gb-intel- DROPLET_SO24_VCPU192_G_B_INTEL
so-24vcpu-192gb-intel- DROPLET_SO24_VCPU192_GB
so-24vcpu-192gb- DROPLET_M624_VCPU192_GB
m6-24vcpu-192gb- DROPLET_M32_VCPU256_G_B_INTEL
m-32vcpu-256gb-intel- DROPLET_C60_INTEL
c-60-intel- DROPLET_M332_VCPU256_GB
m3-32vcpu-256gb- DROPLET_SO1_524_VCPU192_G_B_INTEL
so1_5-24vcpu-192gb-intel- DROPLET_M332_VCPU256_G_B_INTEL
m3-32vcpu-256gb-intel- DROPLET_G48_VCPU192_G_B_INTEL
g-48vcpu-192gb-intel- DROPLET_C260_VCPU120_G_B_INTEL
c2-60vcpu-120gb-intel- DROPLET_GD48_VCPU192_G_B_INTEL
gd-48vcpu-192gb-intel- DROPLET_SO1_524_VCPU192_GB
so1_5-24vcpu-192gb- DROPLET_SO32_VCPU256_G_B_INTEL
so-32vcpu-256gb-intel- DROPLET_SO32_VCPU256_GB
so-32vcpu-256gb- DROPLET_M632_VCPU256_GB
m6-32vcpu-256gb- DROPLET_SO1_532_VCPU256_G_B_INTEL
so1_5-32vcpu-256gb-intel- DROPLET_G60_VCPU240_G_B_INTEL
g-60vcpu-240gb-intel- DROPLET_M48_VCPU384_G_B_INTEL
m-48vcpu-384gb-intel- DROPLET_GD60_VCPU240_G_B_INTEL
gd-60vcpu-240gb-intel- DROPLET_GPUH100_X180_GB
gpu-h100x1-80gb- DROPLET_SO1_532_VCPU256_GB
so1_5-32vcpu-256gb- DROPLET_M348_VCPU384_G_B_INTEL
m3-48vcpu-384gb-intel- DROPLET_SO48_VCPU384_G_B_INTEL
so-48vcpu-384gb-intel- DROPLET_GPUH100_X180_GB200
gpu-h100x1-80gb-200- DROPLET_GPUH100_X8640_GB
gpu-h100x8-640gb- DROPLET_GPUH100_X8640_GB200
gpu-h100x8-640gb-200- DROPLET16_GB
16gb- DROPLET1_GB
1gb- DROPLET2_GB
2gb- DROPLET32_GB
32gb- DROPLET48_GB
48gb- DROPLET4_GB
4gb- DROPLET512MB
512mb- DROPLET64_GB
64gb- DROPLET8_GB
8gb- DROPLET_C22_VCPU8_GB
c2-4vcpu-8gb- DROPLET_S12_VCPU48_GB
s-12vcpu-48gb- DROPLET_S16_VCPU64_GB
s-16vcpu-64gb- DROPLET_S1_VCPU3_GB
s-1vcpu-3gb- DROPLET_S20_VCPU96_GB
s-20vcpu-96gb- DROPLET_S24_VCPU128_GB
s-24vcpu-128gb- DROPLET_S32_VCPU192_GB
s-32vcpu-192gb- DROPLET_S3_VCPU1_GB
s-3vcpu-1gb- DROPLET_S6_VCPU16_GB
s-6vcpu-16gb- DROPLET_S8_VCPU32_GB
s-8vcpu-32gb- DROPLET_SO1516_VCPU128_GB
so1_5-16vcpu-128gb- DROPLET_SO1524_VCPU192_GB
so1_5-24vcpu-192gb- DROPLET_SO152_VCPU16_GB
so1_5-2vcpu-16gb- DROPLET_SO1532_VCPU256_GB
so1_5-32vcpu-256gb- DROPLET_SO154_VCPU32_GB
so1_5-4vcpu-32gb- DROPLET_SO158_VCPU64_GB
so1_5-8vcpu-64gb
- "s-1vcpu-512mb-10gb"
s-1vcpu-512mb-10gb- "s-1vcpu-1gb"
s-1vcpu-1gb- "s-1vcpu-1gb-amd"
s-1vcpu-1gb-amd- "s-1vcpu-1gb-intel"
s-1vcpu-1gb-intel- "s-1vcpu-1gb-35gb-intel"
s-1vcpu-1gb-35gb-intel- "s-1vcpu-2gb"
s-1vcpu-2gb- "s-1vcpu-2gb-amd"
s-1vcpu-2gb-amd- "s-1vcpu-2gb-intel"
s-1vcpu-2gb-intel- "s-1vcpu-2gb-70gb-intel"
s-1vcpu-2gb-70gb-intel- "s-2vcpu-2gb"
s-2vcpu-2gb- "s-2vcpu-2gb-amd"
s-2vcpu-2gb-amd- "s-2vcpu-2gb-intel"
s-2vcpu-2gb-intel- "s-2vcpu-2gb-90gb-intel"
s-2vcpu-2gb-90gb-intel- "s-2vcpu-4gb"
s-2vcpu-4gb- "s-2vcpu-4gb-amd"
s-2vcpu-4gb-amd- "s-2vcpu-4gb-intel"
s-2vcpu-4gb-intel- "s-2vcpu-4gb-120gb-intel"
s-2vcpu-4gb-120gb-intel- "s-2vcpu-8gb-amd"
s-2vcpu-8gb-amd- "c-2"
c-2- "c2-2vcpu-4gb"
c2-2vcpu-4gb- "s-2vcpu-8gb-160gb-intel"
s-2vcpu-8gb-160gb-intel- "s-4vcpu-8gb"
s-4vcpu-8gb- "s-4vcpu-8gb-amd"
s-4vcpu-8gb-amd- "s-4vcpu-8gb-intel"
s-4vcpu-8gb-intel- "g-2vcpu-8gb"
g-2vcpu-8gb- "s-4vcpu-8gb-240gb-intel"
s-4vcpu-8gb-240gb-intel- "gd-2vcpu-8gb"
gd-2vcpu-8gb- "g-2vcpu-8gb-intel"
g-2vcpu-8gb-intel- "gd-2vcpu-8gb-intel"
gd-2vcpu-8gb-intel- "s-4vcpu-16gb-amd"
s-4vcpu-16gb-amd- "m-2vcpu-16gb"
m-2vcpu-16gb- "c-4"
c-4- "c2-4vcpu-8gb"
c2-4vcpu-8gb- "s-4vcpu-16gb-320gb-intel"
s-4vcpu-16gb-320gb-intel- "s-8vcpu-16gb"
s-8vcpu-16gb- "m-2vcpu-16gb-intel"
m-2vcpu-16gb-intel- "m3-2vcpu-16gb"
m3-2vcpu-16gb- "c-4-intel"
c-4-intel- "m3-2vcpu-16gb-intel"
m3-2vcpu-16gb-intel- "s-8vcpu-16gb-amd"
s-8vcpu-16gb-amd- "s-8vcpu-16gb-intel"
s-8vcpu-16gb-intel- "c2-4vcpu-8gb-intel"
c2-4vcpu-8gb-intel- "g-4vcpu-16gb"
g-4vcpu-16gb- "s-8vcpu-16gb-480gb-intel"
s-8vcpu-16gb-480gb-intel- "so-2vcpu-16gb-intel"
so-2vcpu-16gb-intel- "so-2vcpu-16gb"
so-2vcpu-16gb- "m6-2vcpu-16gb"
m6-2vcpu-16gb- "gd-4vcpu-16gb"
gd-4vcpu-16gb- "so1_5-2vcpu-16gb-intel"
so1_5-2vcpu-16gb-intel- "g-4vcpu-16gb-intel"
g-4vcpu-16gb-intel- "gd-4vcpu-16gb-intel"
gd-4vcpu-16gb-intel- "so1_5-2vcpu-16gb"
so1_5-2vcpu-16gb- "s-8vcpu-32gb-amd"
s-8vcpu-32gb-amd- "m-4vcpu-32gb"
m-4vcpu-32gb- "c-8"
c-8- "c2-8vcpu-16gb"
c2-8vcpu-16gb- "s-8vcpu-32gb-640gb-intel"
s-8vcpu-32gb-640gb-intel- "m-4vcpu-32gb-intel"
m-4vcpu-32gb-intel- "m3-4vcpu-32gb"
m3-4vcpu-32gb- "c-8-intel"
c-8-intel- "m3-4vcpu-32gb-intel"
m3-4vcpu-32gb-intel- "c2-8vcpu-16gb-intel"
c2-8vcpu-16gb-intel- "g-8vcpu-32gb"
g-8vcpu-32gb- "so-4vcpu-32gb-intel"
so-4vcpu-32gb-intel- "so-4vcpu-32gb"
so-4vcpu-32gb- "m6-4vcpu-32gb"
m6-4vcpu-32gb- "gd-8vcpu-32gb"
gd-8vcpu-32gb- "so1_5-4vcpu-32gb-intel"
so1_5-4vcpu-32gb-intel- "g-8vcpu-32gb-intel"
g-8vcpu-32gb-intel- "gd-8vcpu-32gb-intel"
gd-8vcpu-32gb-intel- "so1_5-4vcpu-32gb"
so1_5-4vcpu-32gb- "m-8vcpu-64gb"
m-8vcpu-64gb- "c-16"
c-16- "c2-16vcpu-32gb"
c2-16vcpu-32gb- "m-8vcpu-64gb-intel"
m-8vcpu-64gb-intel- "m3-8vcpu-64gb"
m3-8vcpu-64gb- "c-16-intel"
c-16-intel- "m3-8vcpu-64gb-intel"
m3-8vcpu-64gb-intel- "c2-16vcpu-32gb-intel"
c2-16vcpu-32gb-intel- "g-16vcpu-64gb"
g-16vcpu-64gb- "so-8vcpu-64gb-intel"
so-8vcpu-64gb-intel- "so-8vcpu-64gb"
so-8vcpu-64gb- "m6-8vcpu-64gb"
m6-8vcpu-64gb- "gd-16vcpu-64gb"
gd-16vcpu-64gb- "so1_5-8vcpu-64gb-intel"
so1_5-8vcpu-64gb-intel- "g-16vcpu-64gb-intel"
g-16vcpu-64gb-intel- "gd-16vcpu-64gb-intel"
gd-16vcpu-64gb-intel- "so1_5-8vcpu-64gb"
so1_5-8vcpu-64gb- "m-16vcpu-128gb"
m-16vcpu-128gb- "c-32"
c-32- "c2-32vcpu-64gb"
c2-32vcpu-64gb- "m-16vcpu-128gb-intel"
m-16vcpu-128gb-intel- "m3-16vcpu-128gb"
m3-16vcpu-128gb- "c-32-intel"
c-32-intel- "m3-16vcpu-128gb-intel"
m3-16vcpu-128gb-intel- "c2-32vcpu-64gb-intel"
c2-32vcpu-64gb-intel- "c-48"
c-48- "m-24vcpu-192gb"
m-24vcpu-192gb- "g-32vcpu-128gb"
g-32vcpu-128gb- "so-16vcpu-128gb-intel"
so-16vcpu-128gb-intel- "so-16vcpu-128gb"
so-16vcpu-128gb- "m6-16vcpu-128gb"
m6-16vcpu-128gb- "gd-32vcpu-128gb"
gd-32vcpu-128gb- "so1_5-16vcpu-128gb-intel"
so1_5-16vcpu-128gb-intel- "c2-48vcpu-96gb"
c2-48vcpu-96gb- "m-24vcpu-192gb-intel"
m-24vcpu-192gb-intel- "g-32vcpu-128gb-intel"
g-32vcpu-128gb-intel- "m3-24vcpu-192gb"
m3-24vcpu-192gb- "g-40vcpu-160gb"
g-40vcpu-160gb- "gd-32vcpu-128gb-intel"
gd-32vcpu-128gb-intel- "so1_5-16vcpu-128gb"
so1_5-16vcpu-128gb- "c-48-intel"
c-48-intel- "m3-24vcpu-192gb-intel"
m3-24vcpu-192gb-intel- "m-32vcpu-256gb"
m-32vcpu-256gb- "gd-40vcpu-160gb"
gd-40vcpu-160gb- "c2-48vcpu-96gb-intel"
c2-48vcpu-96gb-intel- "so-24vcpu-192gb-intel"
so-24vcpu-192gb-intel- "so-24vcpu-192gb"
so-24vcpu-192gb- "m6-24vcpu-192gb"
m6-24vcpu-192gb- "m-32vcpu-256gb-intel"
m-32vcpu-256gb-intel- "c-60-intel"
c-60-intel- "m3-32vcpu-256gb"
m3-32vcpu-256gb- "so1_5-24vcpu-192gb-intel"
so1_5-24vcpu-192gb-intel- "m3-32vcpu-256gb-intel"
m3-32vcpu-256gb-intel- "g-48vcpu-192gb-intel"
g-48vcpu-192gb-intel- "c2-60vcpu-120gb-intel"
c2-60vcpu-120gb-intel- "gd-48vcpu-192gb-intel"
gd-48vcpu-192gb-intel- "so1_5-24vcpu-192gb"
so1_5-24vcpu-192gb- "so-32vcpu-256gb-intel"
so-32vcpu-256gb-intel- "so-32vcpu-256gb"
so-32vcpu-256gb- "m6-32vcpu-256gb"
m6-32vcpu-256gb- "so1_5-32vcpu-256gb-intel"
so1_5-32vcpu-256gb-intel- "g-60vcpu-240gb-intel"
g-60vcpu-240gb-intel- "m-48vcpu-384gb-intel"
m-48vcpu-384gb-intel- "gd-60vcpu-240gb-intel"
gd-60vcpu-240gb-intel- "gpu-h100x1-80gb"
gpu-h100x1-80gb- "so1_5-32vcpu-256gb"
so1_5-32vcpu-256gb- "m3-48vcpu-384gb-intel"
m3-48vcpu-384gb-intel- "so-48vcpu-384gb-intel"
so-48vcpu-384gb-intel- "gpu-h100x1-80gb-200"
gpu-h100x1-80gb-200- "gpu-h100x8-640gb"
gpu-h100x8-640gb- "gpu-h100x8-640gb-200"
gpu-h100x8-640gb-200- "16gb"
16gb- "1gb"
1gb- "2gb"
2gb- "32gb"
32gb- "48gb"
48gb- "4gb"
4gb- "512mb"
512mb- "64gb"
64gb- "8gb"
8gb- "c2-4vcpu-8gb"
c2-4vcpu-8gb- "s-12vcpu-48gb"
s-12vcpu-48gb- "s-16vcpu-64gb"
s-16vcpu-64gb- "s-1vcpu-3gb"
s-1vcpu-3gb- "s-20vcpu-96gb"
s-20vcpu-96gb- "s-24vcpu-128gb"
s-24vcpu-128gb- "s-32vcpu-192gb"
s-32vcpu-192gb- "s-3vcpu-1gb"
s-3vcpu-1gb- "s-6vcpu-16gb"
s-6vcpu-16gb- "s-8vcpu-32gb"
s-8vcpu-32gb- "so1_5-16vcpu-128gb"
so1_5-16vcpu-128gb- "so1_5-24vcpu-192gb"
so1_5-24vcpu-192gb- "so1_5-2vcpu-16gb"
so1_5-2vcpu-16gb- "so1_5-32vcpu-256gb"
so1_5-32vcpu-256gb- "so1_5-4vcpu-32gb"
so1_5-4vcpu-32gb- "so1_5-8vcpu-64gb"
so1_5-8vcpu-64gb
KubernetesNodePoolNode, KubernetesNodePoolNodeArgs
- Created
At string - The date and time when the node was created.
- Droplet
Id string - The id of the node's droplet
- Id string
- A unique ID that can be used to identify and reference the node.
- Name string
- A name for the node pool.
- Status string
- A string indicating the current status of the individual node.
- Updated
At string - The date and time when the node was last updated.
- Created
At string - The date and time when the node was created.
- Droplet
Id string - The id of the node's droplet
- Id string
- A unique ID that can be used to identify and reference the node.
- Name string
- A name for the node pool.
- Status string
- A string indicating the current status of the individual node.
- Updated
At string - The date and time when the node was last updated.
- created
At String - The date and time when the node was created.
- droplet
Id String - The id of the node's droplet
- id String
- A unique ID that can be used to identify and reference the node.
- name String
- A name for the node pool.
- status String
- A string indicating the current status of the individual node.
- updated
At String - The date and time when the node was last updated.
- created
At string - The date and time when the node was created.
- droplet
Id string - The id of the node's droplet
- id string
- A unique ID that can be used to identify and reference the node.
- name string
- A name for the node pool.
- status string
- A string indicating the current status of the individual node.
- updated
At string - The date and time when the node was last updated.
- created_
at str - The date and time when the node was created.
- droplet_
id str - The id of the node's droplet
- id str
- A unique ID that can be used to identify and reference the node.
- name str
- A name for the node pool.
- status str
- A string indicating the current status of the individual node.
- updated_
at str - The date and time when the node was last updated.
- created
At String - The date and time when the node was created.
- droplet
Id String - The id of the node's droplet
- id String
- A unique ID that can be used to identify and reference the node.
- name String
- A name for the node pool.
- status String
- A string indicating the current status of the individual node.
- updated
At String - The date and time when the node was last updated.
KubernetesNodePoolTaint, KubernetesNodePoolTaintArgs
- Effect string
- How the node reacts to pods that it won't tolerate. Available effect values are: "NoSchedule", "PreferNoSchedule", "NoExecute".
- Key string
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
- Value string
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
- Effect string
- How the node reacts to pods that it won't tolerate. Available effect values are: "NoSchedule", "PreferNoSchedule", "NoExecute".
- Key string
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
- Value string
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
- effect String
- How the node reacts to pods that it won't tolerate. Available effect values are: "NoSchedule", "PreferNoSchedule", "NoExecute".
- key String
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
- value String
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
- effect string
- How the node reacts to pods that it won't tolerate. Available effect values are: "NoSchedule", "PreferNoSchedule", "NoExecute".
- key string
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
- value string
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
- effect str
- How the node reacts to pods that it won't tolerate. Available effect values are: "NoSchedule", "PreferNoSchedule", "NoExecute".
- key str
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
- value str
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
- effect String
- How the node reacts to pods that it won't tolerate. Available effect values are: "NoSchedule", "PreferNoSchedule", "NoExecute".
- key String
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
- value String
- An arbitrary string. The "key" and "value" fields of the "taint" object form a key-value pair.
Import
If you are importing an existing Kubernetes cluster with a single node pool, just
import the cluster. Additional node pools can be imported by using their id, e.g.
$ pulumi import digitalocean:index/kubernetesNodePool:KubernetesNodePool mynodepool 9d76f410-9284-4436-9633-4066852442c8
Note: If the node pool has the terraform:default-node-pool tag, then it is a default node pool for an
existing cluster. The provider will refuse to import the node pool in that case because the node pool
is managed by the digitalocean_kubernetes_cluster resource and not by this
digitalocean_kubernetes_node_pool resource.
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- DigitalOcean pulumi/pulumi-digitalocean
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
digitaloceanTerraform Provider.
