Amazon SageMaker Training Job pattern-based discovery

  • Release version: Yokohama
  • 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 within the Discovery and Service Mapping Patterns application enables ServiceNow customers to identify and map AWS SageMaker training jobs in their cloud environment. This capability is part of the broader AWS service discovery that helps populate both CMDB and non-CMDB tables with detailed information about AWS resources, facilitating comprehensive cloud asset management.

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    Activation and Configuration

    • AWS Prerequisites: Ensure all AWS discovery prerequisites are met before enabling the pattern, as detailed in the Amazon AWS Cloud components discovery documentation.
    • Resource Inclusion List: Verify the training job resource is not included in the Resource Inclusion List [sacloudinventoryresourcewhitelist] to prevent duplicate discovery.
    • Pattern Enablement: The SageMaker Training Job pattern is disabled by default. Starting with Visibility Content version 6.28.0, activating or deactivating patterns no longer counts as a customization and will be updated automatically. After upgrades, patterns reset to the latest predefined version but retain their last active state.
    • GovCloud Support: To discover AWS GovCloud (US) accounts, configure the discovery schedule with the appropriate datacenter URL when creating AWS service accounts.

    Data Captured and Tables Populated

    The discovery process populates two types of records:

    • Non-CMDB Tables: When running the Amazon AWS - SageMaker Training Job - Extended Inventory (LP) pattern, data is stored in non-CMDB AWS tables accessible via the ServiceNow configuration menus. This includes details like ARN, user-defined job name, training job status, secondary status, and associated training plan ARN.
    • CMDB Tables: The pattern also populates the Cloud App Server [cmdbcicloudappserver] table with key information such as ARN, job name, install and operational status (defaulting to Installed and Operational), and resource type set to AWS::SageMaker::Training Job.

    Configuration Item Relationships and Tagging

    • The pattern establishes relationships between the SageMaker Training Job CI and the AWS Datacenter CI (hosted on relationship), and references the Cloud App Server CI.
    • Tags associated with SageMaker training jobs are collected and stored in the Key Value [cmdbkeyvalue] table, enabling effective tagging and categorization within the CMDB.

    Practical Benefits for ServiceNow Customers

    • Automates discovery and mapping of SageMaker training jobs to maintain an accurate and up-to-date CMDB.
    • Supports compliance and governance by ensuring AWS resources are properly inventoried and tagged.
    • Provides detailed insight into the operational status and progress of SageMaker training jobs directly within ServiceNow.
    • Facilitates integration with AWS GovCloud environments through tailored discovery scheduling.

    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.