Amazon SageMaker Training Job pattern-based discovery

  • Release version: Xanadu
  • Updated June 16, 2026
  • 2 minutes to read
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    Summary of Amazon SageMaker Training Job pattern-based discovery

    The Amazon SageMaker Training Job pattern-based discovery in ServiceNow enables automated detection and mapping of SageMaker training jobs within your AWS cloud environment. It uses Discovery and Service Mapping Patterns to populate both CMDB and non-CMDB tables with detailed information about SageMaker training jobs, ensuring accurate visibility and management of these resources.

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    Key Features

    • Prerequisites and Setup: Requires verifying AWS discovery prerequisites and removing duplicate resources from the Resource Inclusion List to avoid duplicate discoveries.
    • Pattern Activation: The SageMaker Training Job discovery pattern is disabled by default and must be enabled. Starting with Visibility Content version 6.28.0, enabling or disabling patterns is not considered a customization, ensuring patterns continue to receive updates after upgrades.
    • GovCloud Compatibility: Supports discovery of AWS GovCloud (US) accounts by using appropriate datacenter URLs when configuring AWS service accounts.
    • Data Population: Populates detailed SageMaker training job data in non-CMDB tables (for extended inventory) and CMDB tables (for core configuration items), providing comprehensive resource tracking.
    • Tag Collection: Discovers and stores AWS tags associated with SageMaker training jobs in the Key Value table, allowing for improved resource categorization and management.
    • CI Relationships: Automatically creates relationships between SageMaker training jobs, cloud app servers, and AWS datacenters to support holistic service mapping.

    Data and Configuration Details

    Non-CMDB Table (cmdbawssagemakertrainingjob): Stores training job details such as the Amazon Resource Name (ARN), user-defined name, training job status, secondary status, and associated training plan ARN.

    CMDB Table (cmdbcicloudappserver): Represents the training job as a cloud app server with attributes including install status, operational status, and resource type set as AWS::SageMaker::Training Job.

    Tag Data (cmdbkeyvalue): Captures AWS tags with key-value pairs to enhance resource context and filtering capabilities.

    Benefits for ServiceNow Customers

    • Enables automated, pattern-based discovery of Amazon SageMaker training jobs for accurate CMDB population.
    • Supports compliance and operational tracking by maintaining up-to-date status and relationships of SageMaker resources.
    • Facilitates governance of AWS resources including GovCloud accounts through proper configuration.
    • Improves resource manageability by capturing tags and relationships, which assist in reporting, automation, and impact analysis.

    Discovery and Service Mapping Patterns finds AWS services on your cloud environment. Discovering some of these resources may require updating to the latest version of the Discovery and Service Mapping Patterns application from the ServiceNow Store.

    Pattern-based discovery and mapping requirements

    Verify the AWS discovery prerequisites
    For more information, see the prerequisites section in Amazon AWS Cloud components discovery using patterns.
    Remove resources from the Resource Inclusion List table
    Verify that the relevant resource isn't listed in the Resource Inclusion List [sa_cloud_inventory_resource_whitelist] table to avoid duplicate discovery. For more information on removing resources from the Resource Inclusion List, see Amazon Web Services (AWS) Resource Inventory.
    Enable the relevant pattern
    The pattern for this service is disabled by default. Starting with Visibility Content version 6.28.0, activating or deactivating a pattern won't be considered a customization, and it will continue to receive updates. Patterns that were previously activated or deactivated will reset to the latest predefined version after upgrading while retaining the last active field value. For more information on enabling patterns, see Activate a disabled pattern.
    Configure the Discovery schedule to support GovCloud
    Discovering AWS GovCloud (US) accounts requires using a datacenter URL when setting up an AWS service account. For more information, see Create AWS service accounts.

    Discovery and Service Mapping Patterns application populates data in both CMDB and non-CMDB tables.

    Data stored in non-CMDB tables

    Discovery and Service Mapping Patterns application populates data in the non-CMDB table when running the Amazon AWS - SageMaker Training Job - Extended Inventory (LP) pattern.

    You can review the non-CMDB AWS tables by navigating to All > Configuration > AWS. You can also search the navigation filter for the specific pattern name.

    Table 1. AWS SageMaker - Training Job [cmdb_aws_sagemaker_training_job]
    Field Description
    Object Id [object_id] The Amazon Resource Name (ARN) uniquely identifying the training job.
    Name [name] The user-defined name for the training job.
    Configuration Item [configuration_item] References the Cloud App Server [cmdb_ci_cloud_appserver] table.
    Secondary Status [secondary_status] The additional status information providing more detail about the training job's progress.
    Training Job Status [training_job_status] The current status of the training job.
    Training Plan ARN [training_plan_arn] The ARN of the training plan associated with the job.

    Data stored in CMDB tables

    Discovery and Service Mapping Patterns application populates data in the CMDB when running the Amazon AWS - SageMaker Training Job - Extended Inventory (LP) pattern.

    Table 2. Cloud App Server [cmdb_ci_cloud_appserver]
    Field Description
    Object ID [object_id] The ARN uniquely identifying the training job.
    Name [name] The user-defined name for the training job.
    Install Status [install_status] Install status of the resource. Default value is Installed.
    Operational status [operational_status] Operational status of the resource. Default value is Operational.
    Type [type] Type of resource. The value is set to AWS::SageMaker::Training Job.

    CI relationships

    The Amazon AWS - SageMaker Training Job - Extended Inventory (LP) pattern creates these relationships to support Amazon SageMaker Training Job discovery.

    CI Relationship CI
    Cloud App Server [cmdb_ci_cloud_appserver] Hosted on::Hosts AWS Datacenter [cmdb_ci_aws_datacenter]
    AWS SageMaker - Training Job [cmdb_aws_sagemaker_training_job] References Cloud App Server [cmdb_ci_cloud_appserver]

    AWS tag discovery

    The pattern collects tags and populates them in the Key Value [cmdb_key_value] table.
    Table 3. Key Value [cmdb_key_value]
    Field Description
    Key [key] Tag name.
    Value [value] Tag value.