SageMaker Cluster Scheduler Config

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SageMaker Cluster Scheduler Config in AWS provides details about the scheduling configuration for a SageMaker cluster. It defines how compute resources are allocated and managed within the cluster, including policies for scaling, job placement, and workload distribution. This helps optimize performance and cost efficiency when running machine learning training or inference workloads across multiple nodes.

aws.sagemaker_cluster_scheduler_config

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
cluster_arn	core	string	ARN of the cluster where the cluster policy is applied.
cluster_scheduler_config_arn	core	string	ARN of the cluster policy.
cluster_scheduler_config_id	core	string	ID of the cluster policy.
cluster_scheduler_config_version	core	int64	Version of the cluster policy.
created_by	core	json	Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
creation_time	core	timestamp	Creation time of the cluster policy.
description	core	string	Description of the cluster policy.
failure_reason	core	string	Failure reason of the cluster policy.
last_modified_by	core	json	Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
last_modified_time	core	timestamp	Last modified time of the cluster policy.
name	core	string	Name of the cluster policy.
scheduler_config	core	json	Cluster policy configuration. This policy is used for task prioritization and fair-share allocation. This helps prioritize critical workloads and distributes idle compute across entities.
status	core	string	Status of the cluster policy.
tags	core	hstore