OpenMetadata/openmetadata-docs/content/v1.0.0/connectors/ml-model/sagemaker/index.md

---
title: Sagemaker
slug: /connectors/ml-model/sagemaker
---

# Sagemaker

In this section, we provide guides and references to use the Sagemaker connector.

Configure and schedule Sagemaker metadata and profiler workflows from the OpenMetadata UI:

- [Requirements](#requirements)
- [Metadata Ingestion](#metadata-ingestion)

If you don't want to use the OpenMetadata Ingestion container to configure the workflows via the UI, then you can check the following docs to connect using Airflow SDK or with the CLI.

{% tilesContainer %}

{% tile
    title="Ingest with Airflow"
    description="Configure the ingestion using Airflow SDK"
    link="/connectors/ml-model/sagemaker/airflow"
  / %}
{% tile
    title="Ingest with the CLI"
    description="Run a one-time ingestion using the metadata CLI"
    link="/connectors/ml-model/sagemaker/cli"
  / %}

{% /tilesContainer %}

## Requirements

{%inlineCallout icon="description" bold="OpenMetadata 0.12 or later" href="/deployment"%}
To deploy OpenMetadata, check the Deployment guides.
{%/inlineCallout%}

To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
custom Airflow plugins to handle the workflow deployment.

OpenMetadata retrieves information about models and tags associated with the models in the AWS account.
The user must have following policy set to ingest the metadata from Sagemaker.

```json
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "SageMakerPolicy",
            "Effect": "Allow",
            "Action": [
                "sagemaker:ListModels",
                "sagemaker:DescribeModel",
                "sagemaker:ListTags"
            ],
            "Resource": "*"
        }
    ]
}
```

For more information on Sagemaker permissions visit the [AWS Sagemaker official documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/api-permissions-reference.html).


## Metadata Ingestion

{% stepsContainer %}

{% step srNumber=1 %}

{% stepDescription title="1. Visit the Services Page" %}

The first step is ingesting the metadata from your sources. Under
Settings, you will find a Services link an external source system to
OpenMetadata. Once a service is created, it can be used to configure
metadata, usage, and profiler workflows.

To visit the Services page, select Services from the Settings menu.

{% /stepDescription %}

{% stepVisualInfo %}

{% image
src="/images/v1.0.0/connectors/visit-services.png"
alt="Visit Services Page"
caption="Find Dashboard option on left panel of the settings page" /%}

{% /stepVisualInfo %}

{% /step %}

{% step srNumber=2 %}

{% stepDescription title="2. Create a New Service" %}

Click on the 'Add New Service' button to start the Service creation.

{% /stepDescription %}

{% stepVisualInfo %}

{% image
src="/images/v1.0.0/connectors/create-service.png"
alt="Create a new service"
caption="Add a new Service from the Dashboard Services page" /%}

{% /stepVisualInfo %}

{% /step %}



{% step srNumber=3 %}

{% stepDescription title="3. Select the Service Type" %}

Select Sagemaker as the service type and click Next.

{% /stepDescription %}

{% stepVisualInfo %}

{% image
  src="/images/v1.0.0/connectors/sagemaker/select-service.png"
  alt="Select Service"
  caption="Select your service from the list" /%}

{% /stepVisualInfo %}

{% /step %}

{% step srNumber=4 %}

{% stepDescription title="4. Name and Describe your Service" %}

Provide a name and description for your service as illustrated below.

#### Service Name

OpenMetadata uniquely identifies services by their Service Name. Provide
a name that distinguishes your deployment from other services, including
the other {connector} services that you might be ingesting metadata
from.

{% /stepDescription %}

{% stepVisualInfo %}

{% image
  src="/images/v1.0.0/connectors/sagemaker/add-new-service.png"
  alt="Add New Service"
  caption="Provide a Name and description for your Service" /%}

{% /stepVisualInfo %}

{% /step %}

{% step srNumber=5 %}

{% stepDescription title="5. Configure the Service Connection" %}

In this step, we will configure the connection settings required for
this connector. Please follow the instructions below to ensure that
you've configured the connector to read from your sagemaker service as
desired.

{% /stepDescription %}

{% stepVisualInfo %}

{% image
  src="/images/v1.0.0/connectors/sagemaker/service-connection.png"
  alt="Configure service connection"
  caption="Configure the service connection by filling the form" /%}

{% /stepVisualInfo %}

{% /step %}

{% extraContent parentTagName="stepsContainer" %}

#### Connection Options

- **AWS Access Key ID** & **AWS Secret Access Key**: When you interact with AWS, you specify your AWS security credentials to verify who you are and whether you have
  permission to access the resources that you are requesting. AWS uses the security credentials to authenticate and
  authorize your requests ([docs](https://docs.aws.amazon.com/IAM/latest/UserGuide/security-creds.html)).

Access keys consist of two parts: An **access key ID** (for example, `AKIAIOSFODNN7EXAMPLE`), and a **secret access key** (for example, `wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY`).

You must use both the access key ID and secret access key together to authenticate your requests.

You can find further information on how to manage your access keys [here](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html).

- **AWS Region**: Each AWS Region is a separate geographic area in which AWS clusters data centers ([docs](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.RegionsAndAvailabilityZones.html)).

As AWS can have instances in multiple regions, we need to know the region the service you want reach belongs to.

Note that the AWS Region is the only required parameter when configuring a connection. When connecting to the
services programmatically, there are different ways in which we can extract and use the rest of AWS configurations.

You can find further information about configuring your credentials [here](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html#configuring-credentials).

- **AWS Session Token (optional)**: If you are using temporary credentials to access your services, you will need to inform the AWS Access Key ID
  and AWS Secrets Access Key. Also, these will include an AWS Session Token.

You can find more information on [Using temporary credentials with AWS resources](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_use-resources.html).

- **Endpoint URL (optional)**: To connect programmatically to an AWS service, you use an endpoint. An *endpoint* is the URL of the
  entry point for an AWS web service. The AWS SDKs and the AWS Command Line Interface (AWS CLI) automatically use the
  default endpoint for each service in an AWS Region. But you can specify an alternate endpoint for your API requests.

Find more information on [AWS service endpoints](https://docs.aws.amazon.com/general/latest/gr/rande.html).

- **Profile Name**: A named profile is a collection of settings and credentials that you can apply to a AWS CLI command.
  When you specify a profile to run a command, the settings and credentials are used to run that command.
  Multiple named profiles can be stored in the config and credentials files.

You can inform this field if you'd like to use a profile other than `default`.

Find here more information about [Named profiles for the AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-profiles.html).

- **Assume Role Arn**: Typically, you use `AssumeRole` within your account or for cross-account access. In this field you'll set the
  `ARN` (Amazon Resource Name) of the policy of the other account.

A user who wants to access a role in a different account must also have permissions that are delegated from the account
administrator. The administrator must attach a policy that allows the user to call `AssumeRole` for the `ARN` of the role in the other account.

This is a required field if you'd like to `AssumeRole`.

Find more information on [AssumeRole](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html).

- **Assume Role Session Name**: An identifier for the assumed role session. Use the role session name to uniquely identify a session when the same role
  is assumed by different principals or for different reasons.

By default, we'll use the name `OpenMetadataSession`.

Find more information about the [Role Session Name](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html#:~:text=An%20identifier%20for%20the%20assumed%20role%20session.).

- **Assume Role Source Identity**: The source identity specified by the principal that is calling the `AssumeRole` operation. You can use source identity
  information in AWS CloudTrail logs to determine who took actions with a role.

Find more information about [Source Identity](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html#:~:text=Required%3A%20No-,SourceIdentity,-The%20source%20identity).


{% /extraContent %}

{% step srNumber=6 %}

{% stepDescription title="6. Test the Connection" %}

Once the credentials have been added, click on `Test Connection` and Save
the changes.

{% /stepDescription %}

{% stepVisualInfo %}

{% image
  src="/images/v1.0.0/connectors/test-connection.png"
  alt="Test Connection"
  caption="Test the connection and save the Service" /%}

{% /stepVisualInfo %}

{% /step %}

{% step srNumber=7 %}

{% stepDescription title="7. Configure Metadata Ingestion" %}

In this step we will configure the metadata ingestion pipeline,
Please follow the instructions below

{% /stepDescription %}

{% stepVisualInfo %}

{% image
src="/images/v1.0.0/connectors/configure-metadata-ingestion-dashboard.png"
alt="Configure Metadata Ingestion"
caption="Configure Metadata Ingestion Page" /%}

{% /stepVisualInfo %}

{% /step %}

{% extraContent parentTagName="stepsContainer" %}

#### Metadata Ingestion Options

- **Name**: This field refers to the name of ingestion pipeline, you can customize the name or use the generated name.

- **Mark Deleted Ml Models (toggle):**: Set the Mark Deleted Ml Models toggle to flag ml models as soft-deleted if they are not present anymore in the source system.

{% /extraContent %}

{% step srNumber=8 %}

{% stepDescription title="8. Schedule the Ingestion and Deploy" %}

Scheduling can be set up at an hourly, daily, or weekly cadence. The
timezone is in UTC. Select a Start Date to schedule for ingestion. It is
optional to add an End Date.

Review your configuration settings. If they match what you intended,
click Deploy to create the service and schedule metadata ingestion.

If something doesn't look right, click the Back button to return to the
appropriate step and change the settings as needed.

After configuring the workflow, you can click on Deploy to create the
pipeline.

{% /stepDescription %}

{% stepVisualInfo %}

{% image
src="/images/v1.0.0/connectors/schedule.png"
alt="Schedule the Workflow"
caption="Schedule the Ingestion Pipeline and Deploy" /%}

{% /stepVisualInfo %}

{% /step %}


{% step srNumber=9 %}

{% stepDescription title="9. View the Ingestion Pipeline" %}

Once the workflow has been successfully deployed, you can view the
Ingestion Pipeline running from the Service Page.

{% /stepDescription %}

{% stepVisualInfo %}

{% image
src="/images/v1.0.0/connectors/view-ingestion-pipeline.png"
alt="View Ingestion Pipeline"
caption="View the Ingestion Pipeline from the Service Page" /%}

{% /stepVisualInfo %}

{% /step %}

{% /stepsContainer %}

## Troubleshooting

 ### Workflow Deployment Error

If there were any errors during the workflow deployment process, the
Ingestion Pipeline Entity will still be created, but no workflow will be
present in the Ingestion container.

- You can then edit the Ingestion Pipeline and Deploy it again.

- From the Connection tab, you can also Edit the Service if needed.

{% image
src="/images/v1.0.0/connectors/workflow-deployment-error.png"
alt="Workflow Deployment Error"
caption="Edit and Deploy the Ingestion Pipeline" /%}