CAST AI v7.73.2, Oct 29 25

CAST AI v7.73.2 published on Wednesday, Oct 29, 2025 by CAST AI

castai.RebalancingSchedule

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Explain and create a castai.RebalancingSchedule resource

CAST AI v7.73.2 published on Wednesday, Oct 29, 2025 by CAST AI

castai/pulumi-castai

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[_rebalancing.RebalancingScheduleLaunchConfigurationArgs] = None,
                        schedule: Optional[_rebalancing.RebalancingScheduleScheduleArgs] = None,
                        trigger_conditions: Optional[_rebalancing.RebalancingScheduleTriggerConditionsArgs] = None,
                        name: Optional[str] = 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:rebalancing: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.

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:

LaunchConfiguration Pulumi.CastAI.Rebalancing.Inputs.RebalancingScheduleLaunchConfiguration
Schedule Pulumi.CastAI.Rebalancing.Inputs.RebalancingScheduleSchedule
TriggerConditions Pulumi.CastAI.Rebalancing.Inputs.RebalancingScheduleTriggerConditions
Name string: Name of the schedule.

LaunchConfiguration RebalancingScheduleLaunchConfigurationArgs
Schedule RebalancingScheduleScheduleArgs
TriggerConditions RebalancingScheduleTriggerConditionsArgs
Name string: Name of the schedule.

launchConfiguration RebalancingScheduleLaunchConfiguration
schedule RebalancingScheduleSchedule
triggerConditions RebalancingScheduleTriggerConditions
name String: Name of the schedule.

launchConfiguration rebalancingRebalancingScheduleLaunchConfiguration
schedule rebalancingRebalancingScheduleSchedule
triggerConditions rebalancingRebalancingScheduleTriggerConditions
name string: Name of the schedule.

launch_configuration rebalancing.RebalancingScheduleLaunchConfigurationArgs
schedule rebalancing.RebalancingScheduleScheduleArgs
trigger_conditions rebalancing.RebalancingScheduleTriggerConditionsArgs
name str: Name of the schedule.

launchConfiguration Property Map
schedule Property Map
triggerConditions Property Map
name String: Name of the schedule.

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[_rebalancing.RebalancingScheduleLaunchConfigurationArgs] = None,
        name: Optional[str] = None,
        schedule: Optional[_rebalancing.RebalancingScheduleScheduleArgs] = None,
        trigger_conditions: Optional[_rebalancing.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:rebalancing: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:

LaunchConfiguration Pulumi.CastAI.Rebalancing.Inputs.RebalancingScheduleLaunchConfiguration
Name string: Name of the schedule.
Schedule Pulumi.CastAI.Rebalancing.Inputs.RebalancingScheduleSchedule
TriggerConditions Pulumi.CastAI.Rebalancing.Inputs.RebalancingScheduleTriggerConditions

LaunchConfiguration RebalancingScheduleLaunchConfigurationArgs
Name string: Name of the schedule.
Schedule RebalancingScheduleScheduleArgs
TriggerConditions RebalancingScheduleTriggerConditionsArgs

launchConfiguration RebalancingScheduleLaunchConfiguration
name String: Name of the schedule.
schedule RebalancingScheduleSchedule
triggerConditions RebalancingScheduleTriggerConditions

launchConfiguration rebalancingRebalancingScheduleLaunchConfiguration
name string: Name of the schedule.
schedule rebalancingRebalancingScheduleSchedule
triggerConditions rebalancingRebalancingScheduleTriggerConditions

launch_configuration rebalancing.RebalancingScheduleLaunchConfigurationArgs
name str: Name of the schedule.
schedule rebalancing.RebalancingScheduleScheduleArgs
trigger_conditions rebalancing.RebalancingScheduleTriggerConditionsArgs

launchConfiguration Property Map
name String: Name of the schedule.
schedule Property Map
triggerConditions Property Map

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 Pulumi.CastAI.Rebalancing.Inputs.RebalancingScheduleLaunchConfigurationAggressiveModeConfig: Advanced configuration for aggressive rebalancing mode.
ExecutionConditions Pulumi.CastAI.Rebalancing.Inputs.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 int: Specifies amount of time since node creation before the node is allowed to be considered for automated rebalancing.
NumTargetedNodes int: Maximum number of nodes that will be selected for rebalancing.
RebalancingMinNodes int: 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 int: Specifies amount of time since node creation before the node is allowed to be considered for automated rebalancing.
NumTargetedNodes int: Maximum number of nodes that will be selected for rebalancing.
RebalancingMinNodes int: 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 Integer: Specifies amount of time since node creation before the node is allowed to be considered for automated rebalancing.
numTargetedNodes Integer: Maximum number of nodes that will be selected for rebalancing.
rebalancingMinNodes Integer: 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 rebalancingRebalancingScheduleLaunchConfigurationAggressiveModeConfig: Advanced configuration for aggressive rebalancing mode.
executionConditions rebalancingRebalancingScheduleLaunchConfigurationExecutionConditions
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 rebalancing.RebalancingScheduleLaunchConfigurationAggressiveModeConfig: Advanced configuration for aggressive rebalancing mode.
execution_conditions rebalancing.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 int: Specifies amount of time since node creation before the node is allowed to be considered for automated rebalancing.
num_targeted_nodes int: Maximum number of nodes that will be selected for rebalancing.
rebalancing_min_nodes int: 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 int: 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 int: 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 Integer: 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 int: 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.

The cron expression can optionally include the CRON_TZ variable at the beginning to specify the timezone in which the schedule should be interpreted.

Example:

CRON_TZ=America/New_York 0 12 * * ?

In the example above, the CRON_TZ variable is set to "America/New_York" indicating that the cron expression should be interpreted in the Eastern Time (ET) timezone.

To retrieve a list of available timezone values, you can use the following API endpoint:

GET https://api.cast.ai/v1/time-zones

When using the CRON_TZ variable, ensure that the specified timezone is valid and supported by checking the list of available timezones from the API endpoint. If the CRON_TZ variable is not specified, the cron expression will be interpreted in the UTC timezone.

Cron string

Cron expression defining when the schedule should trigger.

The cron expression can optionally include the CRON_TZ variable at the beginning to specify the timezone in which the schedule should be interpreted.

Example:

CRON_TZ=America/New_York 0 12 * * ?

In the example above, the CRON_TZ variable is set to "America/New_York" indicating that the cron expression should be interpreted in the Eastern Time (ET) timezone.

To retrieve a list of available timezone values, you can use the following API endpoint:

GET https://api.cast.ai/v1/time-zones

cron String

Cron expression defining when the schedule should trigger.

The cron expression can optionally include the CRON_TZ variable at the beginning to specify the timezone in which the schedule should be interpreted.

Example:

CRON_TZ=America/New_York 0 12 * * ?

In the example above, the CRON_TZ variable is set to "America/New_York" indicating that the cron expression should be interpreted in the Eastern Time (ET) timezone.

To retrieve a list of available timezone values, you can use the following API endpoint:

GET https://api.cast.ai/v1/time-zones

cron string

Cron expression defining when the schedule should trigger.

The cron expression can optionally include the CRON_TZ variable at the beginning to specify the timezone in which the schedule should be interpreted.

Example:

CRON_TZ=America/New_York 0 12 * * ?

In the example above, the CRON_TZ variable is set to "America/New_York" indicating that the cron expression should be interpreted in the Eastern Time (ET) timezone.

To retrieve a list of available timezone values, you can use the following API endpoint:

GET https://api.cast.ai/v1/time-zones

cron str

Cron expression defining when the schedule should trigger.

The cron expression can optionally include the CRON_TZ variable at the beginning to specify the timezone in which the schedule should be interpreted.

Example:

CRON_TZ=America/New_York 0 12 * * ?

In the example above, the CRON_TZ variable is set to "America/New_York" indicating that the cron expression should be interpreted in the Eastern Time (ET) timezone.

To retrieve a list of available timezone values, you can use the following API endpoint:

GET https://api.cast.ai/v1/time-zones

cron String

Cron expression defining when the schedule should trigger.

The cron expression can optionally include the CRON_TZ variable at the beginning to specify the timezone in which the schedule should be interpreted.

Example:

CRON_TZ=America/New_York 0 12 * * ?

In the example above, the CRON_TZ variable is set to "America/New_York" indicating that the cron expression should be interpreted in the Eastern Time (ET) timezone.

To retrieve a list of available timezone values, you can use the following API endpoint:

GET https://api.cast.ai/v1/time-zones

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.

Package Details

Repository: castai castai/pulumi-castai
License: Apache-2.0
Notes: This Pulumi package is based on the castai Terraform Provider.

CAST AI v7.73.2 published on Wednesday, Oct 29, 2025 by CAST AI

castai/pulumi-castai

castai.RebalancingSchedule

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Create RebalancingSchedule Resource

Constructor syntax

Parameters

RebalancingSchedule Resource Properties

Inputs

Outputs

Look up Existing RebalancingSchedule Resource

Supporting Types

RebalancingScheduleLaunchConfiguration, RebalancingScheduleLaunchConfigurationArgs

RebalancingScheduleLaunchConfigurationAggressiveModeConfig, RebalancingScheduleLaunchConfigurationAggressiveModeConfigArgs

RebalancingScheduleLaunchConfigurationExecutionConditions, RebalancingScheduleLaunchConfigurationExecutionConditionsArgs

RebalancingScheduleSchedule, RebalancingScheduleScheduleArgs

RebalancingScheduleTriggerConditions, RebalancingScheduleTriggerConditionsArgs

Package Details

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