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castai 7.44.0 published on Friday, Mar 21, 2025 by castai
castai/terraform-provider-castai

castai.RebalancingSchedule

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castai 7.44.0 published on Friday, Mar 21, 2025 by castai
castai/terraform-provider-castai

    CAST AI rebalancing schedule resource to manage rebalancing schedules.

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
import * as castai from "@pulumi/castai";

const spots = new castai.RebalancingSchedule("spots", {
    schedule: {
        cron: "*/30 * * * *",
    },
    triggerConditions: {
        savingsPercentage: 20,
    },
    launchConfiguration: {
        nodeTtlSeconds: 300,
        numTargetedNodes: 3,
        rebalancingMinNodes: 2,
        keepDrainTimeoutNodes: false,
        selector: JSON.stringify({
            nodeSelectorTerms: [{
                matchExpressions: [{
                    key: "scheduling.cast.ai/spot",
                    operator: "Exists",
                }],
            }],
        }),
        executionConditions: {
            enabled: true,
            achievedSavingsPercentage: 10,
        },
    },
});

    import pulumi
import json
import pulumi_castai as castai

spots = castai.RebalancingSchedule("spots",
    schedule={
        "cron": "*/30 * * * *",
    },
    trigger_conditions={
        "savings_percentage": 20,
    },
    launch_configuration={
        "node_ttl_seconds": 300,
        "num_targeted_nodes": 3,
        "rebalancing_min_nodes": 2,
        "keep_drain_timeout_nodes": False,
        "selector": json.dumps({
            "nodeSelectorTerms": [{
                "matchExpressions": [{
                    "key": "scheduling.cast.ai/spot",
                    "operator": "Exists",
                }],
            }],
        }),
        "execution_conditions": {
            "enabled": True,
            "achieved_savings_percentage": 10,
        },
    })

    package main

import (
	"encoding/json"

	"github.com/pulumi/pulumi-terraform-provider/sdks/go/castai/v7/castai"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		tmpJSON0, err := json.Marshal(map[string]interface{}{
			"nodeSelectorTerms": []map[string]interface{}{
				map[string]interface{}{
					"matchExpressions": []map[string]interface{}{
						map[string]interface{}{
							"key":      "scheduling.cast.ai/spot",
							"operator": "Exists",
						},
					},
				},
			},
		})
		if err != nil {
			return err
		}
		json0 := string(tmpJSON0)
		_, err = castai.NewRebalancingSchedule(ctx, "spots", &castai.RebalancingScheduleArgs{
			Schedule: &castai.RebalancingScheduleScheduleArgs{
				Cron: pulumi.String("*/30 * * * *"),
			},
			TriggerConditions: &castai.RebalancingScheduleTriggerConditionsArgs{
				SavingsPercentage: pulumi.Float64(20),
			},
			LaunchConfiguration: &castai.RebalancingScheduleLaunchConfigurationArgs{
				NodeTtlSeconds:        pulumi.Float64(300),
				NumTargetedNodes:      pulumi.Float64(3),
				RebalancingMinNodes:   pulumi.Float64(2),
				KeepDrainTimeoutNodes: pulumi.Bool(false),
				Selector:              pulumi.String(json0),
				ExecutionConditions: &castai.RebalancingScheduleLaunchConfigurationExecutionConditionsArgs{
					Enabled:                   pulumi.Bool(true),
					AchievedSavingsPercentage: pulumi.Float64(10),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using System.Text.Json;
using Pulumi;
using Castai = Pulumi.Castai;

return await Deployment.RunAsync(() => 
{
    var spots = new Castai.RebalancingSchedule("spots", new()
    {
        Schedule = new Castai.Inputs.RebalancingScheduleScheduleArgs
        {
            Cron = "*/30 * * * *",
        },
        TriggerConditions = new Castai.Inputs.RebalancingScheduleTriggerConditionsArgs
        {
            SavingsPercentage = 20,
        },
        LaunchConfiguration = new Castai.Inputs.RebalancingScheduleLaunchConfigurationArgs
        {
            NodeTtlSeconds = 300,
            NumTargetedNodes = 3,
            RebalancingMinNodes = 2,
            KeepDrainTimeoutNodes = false,
            Selector = JsonSerializer.Serialize(new Dictionary<string, object?>
            {
                ["nodeSelectorTerms"] = new[]
                {
                    new Dictionary<string, object?>
                    {
                        ["matchExpressions"] = new[]
                        {
                            new Dictionary<string, object?>
                            {
                                ["key"] = "scheduling.cast.ai/spot",
                                ["operator"] = "Exists",
                            },
                        },
                    },
                },
            }),
            ExecutionConditions = new Castai.Inputs.RebalancingScheduleLaunchConfigurationExecutionConditionsArgs
            {
                Enabled = true,
                AchievedSavingsPercentage = 10,
            },
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.castai.RebalancingSchedule;
import com.pulumi.castai.RebalancingScheduleArgs;
import com.pulumi.castai.inputs.RebalancingScheduleScheduleArgs;
import com.pulumi.castai.inputs.RebalancingScheduleTriggerConditionsArgs;
import com.pulumi.castai.inputs.RebalancingScheduleLaunchConfigurationArgs;
import com.pulumi.castai.inputs.RebalancingScheduleLaunchConfigurationExecutionConditionsArgs;
import static com.pulumi.codegen.internal.Serialization.*;
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 spots = new RebalancingSchedule("spots", RebalancingScheduleArgs.builder()
            .schedule(RebalancingScheduleScheduleArgs.builder()
                .cron("*/30 * * * *")
                .build())
            .triggerConditions(RebalancingScheduleTriggerConditionsArgs.builder()
                .savingsPercentage(20)
                .build())
            .launchConfiguration(RebalancingScheduleLaunchConfigurationArgs.builder()
                .nodeTtlSeconds(300)
                .numTargetedNodes(3)
                .rebalancingMinNodes(2)
                .keepDrainTimeoutNodes(false)
                .selector(serializeJson(
                    jsonObject(
                        jsonProperty("nodeSelectorTerms", jsonArray(jsonObject(
                            jsonProperty("matchExpressions", jsonArray(jsonObject(
                                jsonProperty("key", "scheduling.cast.ai/spot"),
                                jsonProperty("operator", "Exists")
                            )))
                        )))
                    )))
                .executionConditions(RebalancingScheduleLaunchConfigurationExecutionConditionsArgs.builder()
                    .enabled(true)
                    .achievedSavingsPercentage(10)
                    .build())
                .build())
            .build());

    }
}

    resources:
  spots:
    type: castai:RebalancingSchedule
    properties:
      schedule:
        cron: '*/30 * * * *'
      triggerConditions:
        savingsPercentage: 20
      launchConfiguration:
        nodeTtlSeconds: 300
        numTargetedNodes: 3
        rebalancingMinNodes: 2
        keepDrainTimeoutNodes: false
        selector:
          fn::toJSON:
            nodeSelectorTerms:
              - matchExpressions:
                  - key: scheduling.cast.ai/spot
                    operator: Exists
        executionConditions:
          enabled: true
          achievedSavingsPercentage: 10

    Create RebalancingSchedule Resource

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

    Constructor syntax

    new RebalancingSchedule(name: string, args: RebalancingScheduleArgs, opts?: CustomResourceOptions);
    @overload
def RebalancingSchedule(resource_name: str,
                        args: RebalancingScheduleArgs,
                        opts: Optional[ResourceOptions] = None)

@overload
def RebalancingSchedule(resource_name: str,
                        opts: Optional[ResourceOptions] = None,
                        launch_configuration: Optional[RebalancingScheduleLaunchConfigurationArgs] = None,
                        schedule: Optional[RebalancingScheduleScheduleArgs] = None,
                        trigger_conditions: Optional[RebalancingScheduleTriggerConditionsArgs] = None,
                        name: Optional[str] = None,
                        rebalancing_schedule_id: Optional[str] = None,
                        timeouts: Optional[RebalancingScheduleTimeoutsArgs] = None)
    func NewRebalancingSchedule(ctx *Context, name string, args RebalancingScheduleArgs, opts ...ResourceOption) (*RebalancingSchedule, error)
    public RebalancingSchedule(string name, RebalancingScheduleArgs args, CustomResourceOptions? opts = null)
    public RebalancingSchedule(String name, RebalancingScheduleArgs args)
public RebalancingSchedule(String name, RebalancingScheduleArgs args, CustomResourceOptions options)

    type: castai:RebalancingSchedule
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 RebalancingScheduleArgs
    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 RebalancingScheduleArgs
    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 RebalancingScheduleArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args RebalancingScheduleArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args RebalancingScheduleArgs
    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 rebalancingScheduleResource = new Castai.RebalancingSchedule("rebalancingScheduleResource", new()
{
    LaunchConfiguration = new Castai.Inputs.RebalancingScheduleLaunchConfigurationArgs
    {
        AggressiveMode = false,
        AggressiveModeConfig = new Castai.Inputs.RebalancingScheduleLaunchConfigurationAggressiveModeConfigArgs
        {
            IgnoreLocalPersistentVolumes = false,
            IgnoreProblemJobPods = false,
            IgnoreProblemPodsWithoutController = false,
            IgnoreProblemRemovalDisabledPods = false,
        },
        ExecutionConditions = new Castai.Inputs.RebalancingScheduleLaunchConfigurationExecutionConditionsArgs
        {
            Enabled = false,
            AchievedSavingsPercentage = 0,
        },
        KeepDrainTimeoutNodes = false,
        NodeTtlSeconds = 0,
        NumTargetedNodes = 0,
        RebalancingMinNodes = 0,
        Selector = "string",
        TargetNodeSelectionAlgorithm = "string",
    },
    Schedule = new Castai.Inputs.RebalancingScheduleScheduleArgs
    {
        Cron = "string",
    },
    TriggerConditions = new Castai.Inputs.RebalancingScheduleTriggerConditionsArgs
    {
        SavingsPercentage = 0,
        IgnoreSavings = false,
    },
    Name = "string",
    RebalancingScheduleId = "string",
    Timeouts = new Castai.Inputs.RebalancingScheduleTimeoutsArgs
    {
        Create = "string",
        Delete = "string",
        Read = "string",
        Update = "string",
    },
});

    example, err := castai.NewRebalancingSchedule(ctx, "rebalancingScheduleResource", &castai.RebalancingScheduleArgs{
LaunchConfiguration: &.RebalancingScheduleLaunchConfigurationArgs{
AggressiveMode: pulumi.Bool(false),
AggressiveModeConfig: &.RebalancingScheduleLaunchConfigurationAggressiveModeConfigArgs{
IgnoreLocalPersistentVolumes: pulumi.Bool(false),
IgnoreProblemJobPods: pulumi.Bool(false),
IgnoreProblemPodsWithoutController: pulumi.Bool(false),
IgnoreProblemRemovalDisabledPods: pulumi.Bool(false),
},
ExecutionConditions: &.RebalancingScheduleLaunchConfigurationExecutionConditionsArgs{
Enabled: pulumi.Bool(false),
AchievedSavingsPercentage: pulumi.Float64(0),
},
KeepDrainTimeoutNodes: pulumi.Bool(false),
NodeTtlSeconds: pulumi.Float64(0),
NumTargetedNodes: pulumi.Float64(0),
RebalancingMinNodes: pulumi.Float64(0),
Selector: pulumi.String("string"),
TargetNodeSelectionAlgorithm: pulumi.String("string"),
},
Schedule: &.RebalancingScheduleScheduleArgs{
Cron: pulumi.String("string"),
},
TriggerConditions: &.RebalancingScheduleTriggerConditionsArgs{
SavingsPercentage: pulumi.Float64(0),
IgnoreSavings: pulumi.Bool(false),
},
Name: pulumi.String("string"),
RebalancingScheduleId: pulumi.String("string"),
Timeouts: &.RebalancingScheduleTimeoutsArgs{
Create: pulumi.String("string"),
Delete: pulumi.String("string"),
Read: pulumi.String("string"),
Update: pulumi.String("string"),
},
})

    var rebalancingScheduleResource = new RebalancingSchedule("rebalancingScheduleResource", RebalancingScheduleArgs.builder()
    .launchConfiguration(RebalancingScheduleLaunchConfigurationArgs.builder()
        .aggressiveMode(false)
        .aggressiveModeConfig(RebalancingScheduleLaunchConfigurationAggressiveModeConfigArgs.builder()
            .ignoreLocalPersistentVolumes(false)
            .ignoreProblemJobPods(false)
            .ignoreProblemPodsWithoutController(false)
            .ignoreProblemRemovalDisabledPods(false)
            .build())
        .executionConditions(RebalancingScheduleLaunchConfigurationExecutionConditionsArgs.builder()
            .enabled(false)
            .achievedSavingsPercentage(0)
            .build())
        .keepDrainTimeoutNodes(false)
        .nodeTtlSeconds(0)
        .numTargetedNodes(0)
        .rebalancingMinNodes(0)
        .selector("string")
        .targetNodeSelectionAlgorithm("string")
        .build())
    .schedule(RebalancingScheduleScheduleArgs.builder()
        .cron("string")
        .build())
    .triggerConditions(RebalancingScheduleTriggerConditionsArgs.builder()
        .savingsPercentage(0)
        .ignoreSavings(false)
        .build())
    .name("string")
    .rebalancingScheduleId("string")
    .timeouts(RebalancingScheduleTimeoutsArgs.builder()
        .create("string")
        .delete("string")
        .read("string")
        .update("string")
        .build())
    .build());

    rebalancing_schedule_resource = castai.RebalancingSchedule("rebalancingScheduleResource",
    launch_configuration={
        "aggressive_mode": False,
        "aggressive_mode_config": {
            "ignore_local_persistent_volumes": False,
            "ignore_problem_job_pods": False,
            "ignore_problem_pods_without_controller": False,
            "ignore_problem_removal_disabled_pods": False,
        },
        "execution_conditions": {
            "enabled": False,
            "achieved_savings_percentage": 0,
        },
        "keep_drain_timeout_nodes": False,
        "node_ttl_seconds": 0,
        "num_targeted_nodes": 0,
        "rebalancing_min_nodes": 0,
        "selector": "string",
        "target_node_selection_algorithm": "string",
    },
    schedule={
        "cron": "string",
    },
    trigger_conditions={
        "savings_percentage": 0,
        "ignore_savings": False,
    },
    name="string",
    rebalancing_schedule_id="string",
    timeouts={
        "create": "string",
        "delete": "string",
        "read": "string",
        "update": "string",
    })

    const rebalancingScheduleResource = new castai.RebalancingSchedule("rebalancingScheduleResource", {
    launchConfiguration: {
        aggressiveMode: false,
        aggressiveModeConfig: {
            ignoreLocalPersistentVolumes: false,
            ignoreProblemJobPods: false,
            ignoreProblemPodsWithoutController: false,
            ignoreProblemRemovalDisabledPods: false,
        },
        executionConditions: {
            enabled: false,
            achievedSavingsPercentage: 0,
        },
        keepDrainTimeoutNodes: false,
        nodeTtlSeconds: 0,
        numTargetedNodes: 0,
        rebalancingMinNodes: 0,
        selector: "string",
        targetNodeSelectionAlgorithm: "string",
    },
    schedule: {
        cron: "string",
    },
    triggerConditions: {
        savingsPercentage: 0,
        ignoreSavings: false,
    },
    name: "string",
    rebalancingScheduleId: "string",
    timeouts: {
        create: "string",
        "delete": "string",
        read: "string",
        update: "string",
    },
});

    type: castai:RebalancingSchedule
properties:
    launchConfiguration:
        aggressiveMode: false
        aggressiveModeConfig:
            ignoreLocalPersistentVolumes: false
            ignoreProblemJobPods: false
            ignoreProblemPodsWithoutController: false
            ignoreProblemRemovalDisabledPods: false
        executionConditions:
            achievedSavingsPercentage: 0
            enabled: false
        keepDrainTimeoutNodes: false
        nodeTtlSeconds: 0
        numTargetedNodes: 0
        rebalancingMinNodes: 0
        selector: string
        targetNodeSelectionAlgorithm: string
    name: string
    rebalancingScheduleId: string
    schedule:
        cron: string
    timeouts:
        create: string
        delete: string
        read: string
        update: string
    triggerConditions:
        ignoreSavings: false
        savingsPercentage: 0

    RebalancingSchedule 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 RebalancingSchedule resource accepts the following input properties:

    Outputs

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

    Id string
    The provider-assigned unique ID for this managed resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.
    id string
    The provider-assigned unique ID for this managed resource.
    id str
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing RebalancingSchedule Resource

    Get an existing RebalancingSchedule 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?: RebalancingScheduleState, opts?: CustomResourceOptions): RebalancingSchedule
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        launch_configuration: Optional[RebalancingScheduleLaunchConfigurationArgs] = None,
        name: Optional[str] = None,
        rebalancing_schedule_id: Optional[str] = None,
        schedule: Optional[RebalancingScheduleScheduleArgs] = None,
        timeouts: Optional[RebalancingScheduleTimeoutsArgs] = None,
        trigger_conditions: Optional[RebalancingScheduleTriggerConditionsArgs] = None) -> RebalancingSchedule
    func GetRebalancingSchedule(ctx *Context, name string, id IDInput, state *RebalancingScheduleState, opts ...ResourceOption) (*RebalancingSchedule, error)
    public static RebalancingSchedule Get(string name, Input<string> id, RebalancingScheduleState? state, CustomResourceOptions? opts = null)
    public static RebalancingSchedule get(String name, Output<String> id, RebalancingScheduleState state, CustomResourceOptions options)
    resources:  _:    type: castai:RebalancingSchedule    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:

    Supporting Types

    RebalancingScheduleLaunchConfiguration, RebalancingScheduleLaunchConfigurationArgs

    AggressiveMode bool
    When enabled rebalancing will also consider problematic pods (pods without controller, job pods, pods with removal-disabled annotation) as not-problematic.
    AggressiveModeConfig RebalancingScheduleLaunchConfigurationAggressiveModeConfig
    Advanced configuration for aggressive rebalancing mode.
    ExecutionConditions RebalancingScheduleLaunchConfigurationExecutionConditions
    KeepDrainTimeoutNodes bool
    Defines whether the nodes that failed to get drained until a predefined timeout, will be kept with a rebalancing.cast.ai/status=drain-failed annotation instead of forcefully drained.
    NodeTtlSeconds double
    Specifies amount of time since node creation before the node is allowed to be considered for automated rebalancing.
    NumTargetedNodes double
    Maximum number of nodes that will be selected for rebalancing.
    RebalancingMinNodes double
    Minimum number of nodes that should be kept in the cluster after rebalancing.
    Selector string
    Node selector in JSON format.
    TargetNodeSelectionAlgorithm string
    Defines the algorithm used to select the target nodes for rebalancing.
    AggressiveMode bool
    When enabled rebalancing will also consider problematic pods (pods without controller, job pods, pods with removal-disabled annotation) as not-problematic.
    AggressiveModeConfig RebalancingScheduleLaunchConfigurationAggressiveModeConfig
    Advanced configuration for aggressive rebalancing mode.
    ExecutionConditions RebalancingScheduleLaunchConfigurationExecutionConditions
    KeepDrainTimeoutNodes bool
    Defines whether the nodes that failed to get drained until a predefined timeout, will be kept with a rebalancing.cast.ai/status=drain-failed annotation instead of forcefully drained.
    NodeTtlSeconds float64
    Specifies amount of time since node creation before the node is allowed to be considered for automated rebalancing.
    NumTargetedNodes float64
    Maximum number of nodes that will be selected for rebalancing.
    RebalancingMinNodes float64
    Minimum number of nodes that should be kept in the cluster after rebalancing.
    Selector string
    Node selector in JSON format.
    TargetNodeSelectionAlgorithm string
    Defines the algorithm used to select the target nodes for rebalancing.
    aggressiveMode Boolean
    When enabled rebalancing will also consider problematic pods (pods without controller, job pods, pods with removal-disabled annotation) as not-problematic.
    aggressiveModeConfig RebalancingScheduleLaunchConfigurationAggressiveModeConfig
    Advanced configuration for aggressive rebalancing mode.
    executionConditions RebalancingScheduleLaunchConfigurationExecutionConditions
    keepDrainTimeoutNodes Boolean
    Defines whether the nodes that failed to get drained until a predefined timeout, will be kept with a rebalancing.cast.ai/status=drain-failed annotation instead of forcefully drained.
    nodeTtlSeconds Double
    Specifies amount of time since node creation before the node is allowed to be considered for automated rebalancing.
    numTargetedNodes Double
    Maximum number of nodes that will be selected for rebalancing.
    rebalancingMinNodes Double
    Minimum number of nodes that should be kept in the cluster after rebalancing.
    selector String
    Node selector in JSON format.
    targetNodeSelectionAlgorithm String
    Defines the algorithm used to select the target nodes for rebalancing.
    aggressiveMode boolean
    When enabled rebalancing will also consider problematic pods (pods without controller, job pods, pods with removal-disabled annotation) as not-problematic.
    aggressiveModeConfig RebalancingScheduleLaunchConfigurationAggressiveModeConfig
    Advanced configuration for aggressive rebalancing mode.
    executionConditions RebalancingScheduleLaunchConfigurationExecutionConditions
    keepDrainTimeoutNodes boolean
    Defines whether the nodes that failed to get drained until a predefined timeout, will be kept with a rebalancing.cast.ai/status=drain-failed annotation instead of forcefully drained.
    nodeTtlSeconds number
    Specifies amount of time since node creation before the node is allowed to be considered for automated rebalancing.
    numTargetedNodes number
    Maximum number of nodes that will be selected for rebalancing.
    rebalancingMinNodes number
    Minimum number of nodes that should be kept in the cluster after rebalancing.
    selector string
    Node selector in JSON format.
    targetNodeSelectionAlgorithm string
    Defines the algorithm used to select the target nodes for rebalancing.
    aggressive_mode bool
    When enabled rebalancing will also consider problematic pods (pods without controller, job pods, pods with removal-disabled annotation) as not-problematic.
    aggressive_mode_config RebalancingScheduleLaunchConfigurationAggressiveModeConfig
    Advanced configuration for aggressive rebalancing mode.
    execution_conditions RebalancingScheduleLaunchConfigurationExecutionConditions
    keep_drain_timeout_nodes bool
    Defines whether the nodes that failed to get drained until a predefined timeout, will be kept with a rebalancing.cast.ai/status=drain-failed annotation instead of forcefully drained.
    node_ttl_seconds float
    Specifies amount of time since node creation before the node is allowed to be considered for automated rebalancing.
    num_targeted_nodes float
    Maximum number of nodes that will be selected for rebalancing.
    rebalancing_min_nodes float
    Minimum number of nodes that should be kept in the cluster after rebalancing.
    selector str
    Node selector in JSON format.
    target_node_selection_algorithm str
    Defines the algorithm used to select the target nodes for rebalancing.
    aggressiveMode Boolean
    When enabled rebalancing will also consider problematic pods (pods without controller, job pods, pods with removal-disabled annotation) as not-problematic.
    aggressiveModeConfig Property Map
    Advanced configuration for aggressive rebalancing mode.
    executionConditions Property Map
    keepDrainTimeoutNodes Boolean
    Defines whether the nodes that failed to get drained until a predefined timeout, will be kept with a rebalancing.cast.ai/status=drain-failed annotation instead of forcefully drained.
    nodeTtlSeconds Number
    Specifies amount of time since node creation before the node is allowed to be considered for automated rebalancing.
    numTargetedNodes Number
    Maximum number of nodes that will be selected for rebalancing.
    rebalancingMinNodes Number
    Minimum number of nodes that should be kept in the cluster after rebalancing.
    selector String
    Node selector in JSON format.
    targetNodeSelectionAlgorithm String
    Defines the algorithm used to select the target nodes for rebalancing.

    RebalancingScheduleLaunchConfigurationAggressiveModeConfig, RebalancingScheduleLaunchConfigurationAggressiveModeConfigArgs

    IgnoreLocalPersistentVolumes bool
    Rebalance workloads that use local-path Persistent Volumes. THIS WILL RESULT IN DATA LOSS.
    IgnoreProblemJobPods bool
    Pods spawned by Jobs or CronJobs will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, pods spawned by Jobs or CronJobs will be terminated if the Rebalancer picks a node that runs them. As such, they are likely to lose their progress.
    IgnoreProblemPodsWithoutController bool
    Pods that don't have a controller (bare pods) will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods might not restart, since they have no controller to do it.
    IgnoreProblemRemovalDisabledPods bool
    Pods that are marked with "removal disabled" will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods will be evicted and disrupted.
    IgnoreLocalPersistentVolumes bool
    Rebalance workloads that use local-path Persistent Volumes. THIS WILL RESULT IN DATA LOSS.
    IgnoreProblemJobPods bool
    Pods spawned by Jobs or CronJobs will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, pods spawned by Jobs or CronJobs will be terminated if the Rebalancer picks a node that runs them. As such, they are likely to lose their progress.
    IgnoreProblemPodsWithoutController bool
    Pods that don't have a controller (bare pods) will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods might not restart, since they have no controller to do it.
    IgnoreProblemRemovalDisabledPods bool
    Pods that are marked with "removal disabled" will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods will be evicted and disrupted.
    ignoreLocalPersistentVolumes Boolean
    Rebalance workloads that use local-path Persistent Volumes. THIS WILL RESULT IN DATA LOSS.
    ignoreProblemJobPods Boolean
    Pods spawned by Jobs or CronJobs will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, pods spawned by Jobs or CronJobs will be terminated if the Rebalancer picks a node that runs them. As such, they are likely to lose their progress.
    ignoreProblemPodsWithoutController Boolean
    Pods that don't have a controller (bare pods) will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods might not restart, since they have no controller to do it.
    ignoreProblemRemovalDisabledPods Boolean
    Pods that are marked with "removal disabled" will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods will be evicted and disrupted.
    ignoreLocalPersistentVolumes boolean
    Rebalance workloads that use local-path Persistent Volumes. THIS WILL RESULT IN DATA LOSS.
    ignoreProblemJobPods boolean
    Pods spawned by Jobs or CronJobs will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, pods spawned by Jobs or CronJobs will be terminated if the Rebalancer picks a node that runs them. As such, they are likely to lose their progress.
    ignoreProblemPodsWithoutController boolean
    Pods that don't have a controller (bare pods) will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods might not restart, since they have no controller to do it.
    ignoreProblemRemovalDisabledPods boolean
    Pods that are marked with "removal disabled" will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods will be evicted and disrupted.
    ignore_local_persistent_volumes bool
    Rebalance workloads that use local-path Persistent Volumes. THIS WILL RESULT IN DATA LOSS.
    ignore_problem_job_pods bool
    Pods spawned by Jobs or CronJobs will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, pods spawned by Jobs or CronJobs will be terminated if the Rebalancer picks a node that runs them. As such, they are likely to lose their progress.
    ignore_problem_pods_without_controller bool
    Pods that don't have a controller (bare pods) will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods might not restart, since they have no controller to do it.
    ignore_problem_removal_disabled_pods bool
    Pods that are marked with "removal disabled" will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods will be evicted and disrupted.
    ignoreLocalPersistentVolumes Boolean
    Rebalance workloads that use local-path Persistent Volumes. THIS WILL RESULT IN DATA LOSS.
    ignoreProblemJobPods Boolean
    Pods spawned by Jobs or CronJobs will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, pods spawned by Jobs or CronJobs will be terminated if the Rebalancer picks a node that runs them. As such, they are likely to lose their progress.
    ignoreProblemPodsWithoutController Boolean
    Pods that don't have a controller (bare pods) will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods might not restart, since they have no controller to do it.
    ignoreProblemRemovalDisabledPods Boolean
    Pods that are marked with "removal disabled" will not prevent the Rebalancer from deleting a node on which they run. WARNING: When true, such pods will be evicted and disrupted.

    RebalancingScheduleLaunchConfigurationExecutionConditions, RebalancingScheduleLaunchConfigurationExecutionConditionsArgs

    Enabled bool
    Enables or disables the execution conditions.
    AchievedSavingsPercentage double
    The percentage of the predicted savings that must be achieved in order to fully execute the plan.If the savings are not achieved after creating the new nodes, the plan will fail and delete the created nodes.
    Enabled bool
    Enables or disables the execution conditions.
    AchievedSavingsPercentage float64
    The percentage of the predicted savings that must be achieved in order to fully execute the plan.If the savings are not achieved after creating the new nodes, the plan will fail and delete the created nodes.
    enabled Boolean
    Enables or disables the execution conditions.
    achievedSavingsPercentage Double
    The percentage of the predicted savings that must be achieved in order to fully execute the plan.If the savings are not achieved after creating the new nodes, the plan will fail and delete the created nodes.
    enabled boolean
    Enables or disables the execution conditions.
    achievedSavingsPercentage number
    The percentage of the predicted savings that must be achieved in order to fully execute the plan.If the savings are not achieved after creating the new nodes, the plan will fail and delete the created nodes.
    enabled bool
    Enables or disables the execution conditions.
    achieved_savings_percentage float
    The percentage of the predicted savings that must be achieved in order to fully execute the plan.If the savings are not achieved after creating the new nodes, the plan will fail and delete the created nodes.
    enabled Boolean
    Enables or disables the execution conditions.
    achievedSavingsPercentage Number
    The percentage of the predicted savings that must be achieved in order to fully execute the plan.If the savings are not achieved after creating the new nodes, the plan will fail and delete the created nodes.

    RebalancingScheduleSchedule, RebalancingScheduleScheduleArgs

    Cron string
    Cron expression defining when the schedule should trigger.
    Cron string
    Cron expression defining when the schedule should trigger.
    cron String
    Cron expression defining when the schedule should trigger.
    cron string
    Cron expression defining when the schedule should trigger.
    cron str
    Cron expression defining when the schedule should trigger.
    cron String
    Cron expression defining when the schedule should trigger.

    RebalancingScheduleTimeouts, RebalancingScheduleTimeoutsArgs

    Create string
    Delete string
    Read string
    Update string
    Create string
    Delete string
    Read string
    Update string
    create String
    delete String
    read String
    update String
    create string
    delete string
    read string
    update string
    create str
    delete str
    read str
    update str
    create String
    delete String
    read String
    update String

    RebalancingScheduleTriggerConditions, RebalancingScheduleTriggerConditionsArgs

    SavingsPercentage double
    Defines the minimum percentage of savings expected.
    IgnoreSavings bool
    If true, the savings percentage will be ignored and the rebalancing will be triggered regardless of the savings percentage.
    SavingsPercentage float64
    Defines the minimum percentage of savings expected.
    IgnoreSavings bool
    If true, the savings percentage will be ignored and the rebalancing will be triggered regardless of the savings percentage.
    savingsPercentage Double
    Defines the minimum percentage of savings expected.
    ignoreSavings Boolean
    If true, the savings percentage will be ignored and the rebalancing will be triggered regardless of the savings percentage.
    savingsPercentage number
    Defines the minimum percentage of savings expected.
    ignoreSavings boolean
    If true, the savings percentage will be ignored and the rebalancing will be triggered regardless of the savings percentage.
    savings_percentage float
    Defines the minimum percentage of savings expected.
    ignore_savings bool
    If true, the savings percentage will be ignored and the rebalancing will be triggered regardless of the savings percentage.
    savingsPercentage Number
    Defines the minimum percentage of savings expected.
    ignoreSavings Boolean
    If true, the savings percentage will be ignored and the rebalancing will be triggered regardless of the savings percentage.

    Import

    Associate terraform resource “spots” with a rebalancing schedule named “spots”.

    $ pulumi import castai:index/rebalancingSchedule:RebalancingSchedule spots' spots

    Importing via direct schedule ID is also possible.

    $ pulumi import castai:index/rebalancingSchedule:RebalancingSchedule spots' b4e69e0c-1762-45eb-bd4f-85cb172e6ad3

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

    Package Details

    Repository
    castai castai/terraform-provider-castai
    License
    Notes
    This Pulumi package is based on the castai Terraform Provider.
    castai logo
    castai 7.44.0 published on Friday, Mar 21, 2025 by castai
    castai/terraform-provider-castai