> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getcollate.io/llms.txt
> Use this file to discover all available pages before exploring further.

# AWS Kinesis Firehose Hybrid Runner

> Ingest AWS Kinesis Firehose pipeline metadata to track data delivery streams and manage operational lineage using the Hybrid Runner.

export const ConnectorDetailsHeader = ({name, icon, stage, availableFeatures, unavailableFeatures = [], availableFeaturesCollate = []}) => {
  const showSubHeading = availableFeatures?.length > 0 || unavailableFeatures?.length > 0 || availableFeaturesCollate?.length > 0;
  const totalAvailableFeatures = [...availableFeatures || [], ...availableFeaturesCollate || []];
  return <div className="container">
      <div className="Heading">
        <div className="flex items-center gap-3">
          {icon && <div className="IconContainer">
              <img src={icon} alt={name} noZoom className="ConnectorIcon" />
            </div>}
          <h1 className="ConnectorName">{name}</h1>
          <span className={`StageBadge ${stage === 'PROD' ? 'prod' : 'beta'}`}>
            {stage}
          </span>
        </div>
      </div>
      {showSubHeading && <div className="SubHeading">
          <div className="FeaturesHeading">Feature List</div>
          <div className="FeaturesList">
            {totalAvailableFeatures.map(feature => <div className="FeatureTag AvailableFeature" key={feature}>
                ✓ {feature}
              </div>)}
            {unavailableFeatures.map(feature => <div className="FeatureTag UnavailableFeature" key={feature}>
                ✕ {feature}
              </div>)}
          </div>
        </div>}
    </div>;
};

<ConnectorDetailsHeader icon="/public/images/connectors/kinesis-firehose.webp" name="KinesisFirehose" stage="PROD" availableFeatures={["Pipelines", "Lineage"]} unavailableFeatures={["Owners", "Tags", "Pipeline Status"]} />

This section provides guides and references to use the AWS Kinesis Firehose connector.

Configure and schedule AWS Kinesis Firehose metadata and profiler workflows from the Collate UI:

* [Requirements](#requirements)
* [Metadata Ingestion](#metadata-ingestion)
* [Troubleshooting](/ai-2-0/connectors/pipeline/kinesis-firehose/troubleshooting)

## Requirements

To extract metadata from AWS Kinesis Firehose, you need to configure AWS credentials with appropriate permissions:

* **AWS Credentials**: Valid AWS credentials (Access Key ID and Secret Access Key) or IAM role with permissions to access Kinesis Firehose
* **Permissions Required**:
  * `firehose:DescribeDeliveryStream` - To describe delivery stream details
  * `firehose:ListDeliveryStreams` - To list all delivery streams
  * `dynamodb:describe_kinesis_streaming_destination`- To describe dynamodb table destination kinesis stream

## Metadata Ingestion

To ingest metadata from AWS Kinesis Firehose, you need to create a service connection. The service connects AWS Kinesis Firehose with Collate. Once you create a service, Collate automatically starts ingesting metadata.

### Step 1: Add New Service

1. In the left navigation, click **Connections**.
2. On the **Connections** page, click **Add New Service**.

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/add-new-service.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=733cef1141ef13d318634aa9f407eb2b" alt="Add New Service" width="2992" height="1256" data-path="public/images/ai-2.0/connectors/metadata-ingestion/add-new-service.png" />

### Step 2: Select a Service and Connector

From the service type dropdown, select **Pipeline Services**, then click the **AWS Kinesis Firehose** connector tile.

<img src="https://mintcdn.com/collatedocs/tVR0kaoXvgs3p2Wx/public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/select-service/kinesisfirehose.png?fit=max&auto=format&n=tVR0kaoXvgs3p2Wx&q=85&s=1e0a32036a65ce92239481550a49ff53" alt="Select Service" width="2102" height="1536" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/select-service/kinesisfirehose.png" />

### Step 3: Add Service Name and Description

* Enter a unique, descriptive **Service Name**. Collate identifies services by their service name. Enter a name that distinguishes this deployment from other AWS Kinesis Firehose services you are ingesting metadata from.
* Optional: Enter a **Description** for the service.

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/service-name/kinesisfirehose.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=31d571dce4d85368d19c39c1a819931d" alt="Add New Service Name" width="1502" height="850" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/service-name/kinesisfirehose.png" />

<Note>
  **Note**: The service name cannot be changed after it is set.
</Note>

### Step 4: Configure Connection Options

Specify where ingestion runs, provide your source credentials, and verify the connection.

#### Select Ingestion Runner

Select an **Ingestion Runner**: the runner where the ingestion pipeline will execute.

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/select-ingestion-runner.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=1249f828648614445e8a976ea1933487" alt="Add Name and Select Ingestion Runner" width="1444" height="506" data-path="public/images/ai-2.0/connectors/metadata-ingestion/select-ingestion-runner.png" />

#### Enter Connection Details

Enter the connection details for AWS Kinesis Firehose. The right-hand panel in the UI displays inline help for each field.

<img src="https://mintcdn.com/collatedocs/tVR0kaoXvgs3p2Wx/public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/connection-details/kinesisfirehose.png?fit=max&auto=format&n=tVR0kaoXvgs3p2Wx&q=85&s=4df56cbf3789ca3275ea7f0fe2216e2c" alt="Configure Service Connection" width="1438" height="1482" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/connection-details/kinesisfirehose.png" />

* **AWS Access Key ID**: AWS Access Key ID is a unique identifier for your AWS account. It is used in combination with the Secret Access Key to authenticate API requests to AWS services. This is an optional field if you are using IAM roles or AWS profiles for authentication.

* **AWS Secret Access Key**: AWS Secret Access Key is a secret key that is used in combination with the Access Key ID to cryptographically sign API requests to AWS services. Keep this value secure and never share it. This is an optional field if you are using IAM roles or AWS profiles for authentication.

* **AWS Region**: AWS Region where your Kinesis Firehose delivery streams are deployed. This is a required field. Examples include:

  * `us-east-1` (US East - N. Virginia)
  * `us-west-2` (US West - Oregon)
  * `eu-west-1` (Europe - Ireland)
  * `ap-southeast-1` (Asia Pacific - Singapore)

  You can find the full list of AWS regions in the [AWS documentation](https://docs.aws.amazon.com/general/latest/gr/rande.html).

* **AWS Session Token**: AWS Session Token is a temporary credential that is required when using temporary security credentials (such as those from AWS STS). This is typically used in scenarios involving:

  * Federated user access
  * Cross-account access
  * Temporary credentials from AWS STS AssumeRole operations

  This field is optional and only needed when using temporary credentials.

* **Endpoint URL**: Custom endpoint URL for AWS services. This is useful when:

  * Connecting to AWS services through a VPC endpoint
  * Using AWS compatible services (like MinIO for S3-compatible storage)
  * Connecting to AWS GovCloud or other specialized AWS regions

  Leave this field empty to use the default AWS endpoints. Example format: `https://firehose.us-east-1.amazonaws.com`

* **Profile Name**: The name of an AWS profile configured in your AWS credentials file (`~/.aws/credentials`). When specified, the connector will use the credentials associated with this profile. This is useful when you have multiple AWS accounts or different permission sets configured locally.

  Example profile names:

  * `default`
  * `production`
  * `development`

* **Assume Role ARN**: The Amazon Resource Name (ARN) of an IAM role to assume for accessing Kinesis Firehose resources. This is useful for cross-account access scenarios where the Kinesis Firehose delivery streams exist in a different AWS account.

  Format: `arn:aws:iam::ACCOUNT_ID:role/ROLE_NAME`

  Example: `arn:aws:iam::123456789012:role/KinesisFirehoseReadOnlyRole`

  When using Assume Role, ensure that:

  1. The role has a trust relationship with the account making the request
  2. The role has necessary permissions to access Kinesis Firehose

* **Assume Role Session Name**: A unique identifier for the assumed role session. This helps to distinguish between different sessions when the same role is assumed by different users or services. AWS uses this value in CloudTrail logs to help with auditing.

  Default value: `OpenMetadataSession`

  You can customize this to include information like:

  * Username or service name
  * Environment (dev, staging, prod)
  * Timestamp or unique identifier

* **Assume Role Source Identity**: The source identity to associate with the assumed role session. This is an optional field that provides additional context about who or what is assuming the role. The source identity information appears in AWS CloudTrail logs and can be useful for auditing and compliance purposes.

  Example: `openmetadata-ingestion-service`

* **Messaging Service Name**: The Name of the ingested Kafka Messaging Service associated with this Firehose Pipeline Service upstream source.

  Example: `local_kafka`

* **Pipeline Filter Pattern**: A regular expression pattern to filter which Kinesis Firehose delivery streams to include or exclude during metadata extraction. This helps you control which pipelines are ingested into Collate.

  **Include Filter Examples:**

  * `.*prod.*` - Include only delivery streams with "prod" in the name
  * `^analytics-.*` - Include only delivery streams starting with "analytics-"
  * `.*-data-stream$` - Include only delivery streams ending with "-data-stream"

  **Exclude Filter Examples:**

  * `.*test.*` - Exclude delivery streams with "test" in the name
  * `^temp-.*` - Exclude delivery streams starting with "temp-"

  Leave empty to include all delivery streams.

<Tip>
  **Tip**: When using a **Hybrid Ingestion Runner**, any sensitive credential fields—such as passwords, API keys, or private keys—must reference secrets using the following format:

  ```
  password: secret:/my/database/password
  ```

  This applies **only to fields marked as secrets** in the connection form (these typically mask input and show a visibility toggle icon).
  For more information about managing secrets in hybrid setups, see the [Hybrid Ingestion Runner Secret Management Guide](/ai-2-0/getting-started/lets-get-started/ingest-your-data/hybrid-ingestion-runner#manage-secrets)
</Tip>

#### Test Connection

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

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/test-connection.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=3365cff7bb9d82c85a2ff9ab559d6f11" alt="Test Connection" width="1446" height="188" data-path="public/images/ai-2.0/connectors/metadata-ingestion/test-connection.png" />

### Step 5: Configure Ingestion Options

In the **What to Ingest** step, use filter patterns to control which assets Collate ingests from your pipeline service. Filter patterns use regular expressions applied to pipeline names.

#### How Filter Patterns Work

* **Include**: Add one or more comma-separated regular expressions. Collate ingests only assets whose names match at least one expression. Leave blank to include all assets.
* **Exclude**: Add one or more comma-separated regular expressions. Collate skips any asset whose name matches an expression. Leave blank to exclude nothing.

Rules match asset names using one of five expressions:

* **contains**: matches any name containing the value. For example, `sales` matches `my_sales_data` and `sales_2024`.
* **starts with**: matches names beginning with the value. For example, `prod_` matches `prod_db` and `prod_schema`.
* **ends with**: matches names ending with the value. For example, `_raw` matches `events_raw` and `logs_raw`.
* **is exactly**: matches the exact name only. For example, `analytics` matches only `analytics`.
* **matches regex**: matches names using a regular expression. For example, `^prod_.*_v\d+$` matches `prod_events_v1`.

When both Include and Exclude are set, Exclude takes priority.

<Tip>
  **Tip**: Leave the filter pattern empty to ingest all pipelines available in the source.
</Tip>

**Filter Options**

The Pipeline section includes the following filter options:

* **Pipeline**: Controls which pipelines (DAGs, jobs, or workflows) Collate ingests from the source.

Each section provides the following controls:

* **Scan Mode**: You can choose between the following scan modes:
  * **Scan all**: Ingests every asset of that type the connector can access. This is the default.
  * **Only specific**: Enables include rules so only assets matching at least one rule are ingested.
* **Exclude system toggle**: Use this toggle to automatically filter out system-reserved names defined by the connector — for example, **Exclude system databases** for the Databases section.
* **Always exclude**: Add permanent exclusion rules (shown in red). Assets matching these rules are never ingested, regardless of include rules.
* **Preview**: Shows a real-time summary of what will be in scope based on your current rules.
* **Include rules** *(available only in **Only specific** mode)*: Click **+ Add** to define a rule. Added rules appear as chips; an asset is included if it matches any rule.

<Tip>
  **Tip**: If [AutoPilot](/ai-2-0/admin-guide/applications/autopilot) is enabled, lineage between pipeline tasks and data assets is tracked automatically after the first metadata ingestion completes.
</Tip>

### Step 6: Create & Deploy

Click **Create & Deploy** to deploy the agent and start the first metadata ingestion run. Collate saves the service configuration and immediately begins pulling metadata from the source.

To monitor ingestion progress or view the service you just added, go to **Connections** in the left navigation and select your service.

## Configure Metadata Agent and Schedule Ingestion

The **Metadata Agent** extracts pipelines, tasks, and other structural metadata from your source and keeps your Collate catalog in sync. It powers discovery, lineage, and governance across your data assets.

When you click **Create & Deploy**, Collate automatically deploys a Metadata Agent for this service and triggers the first ingestion run. View its status and run history from the **Agents** tab on the service detail page.

To configure the additional Metadata Agent and schedule ingestion, follow these steps:

1. In the left navigation, click **Connections** and select your service.

2. Click the **Agents** tab.

3. Click **Add Agent** and select **Metadata** from the dropdown.
   <img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/add-metadata-agent.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=accad7d1c4ddf209781bff851d51d464" alt="Add Metadata Agent" width="2398" height="1144" data-path="public/images/ai-2.0/connectors/metadata-ingestion/add-metadata-agent.png" />
   For some services, the dropdown is not available and clicking **Add Agent** takes you directly to the agent configuration page.

4. On the **Configure Ingestion** page, do the following and click **Next**.

   * **Name this Ingestion**: Enter a unique recognizable name for this ingestion pipeline.

     <img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/metadata-agent-name.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=d5ec1f0f3742cadab8cd54c602c97239" alt="Name this Ingestion" width="1578" height="644" data-path="public/images/ai-2.0/connectors/metadata-ingestion/metadata-agent-name.png" />

   * **Agent Setup**: Configure the core parameters for this agent. The following fields are available:

     | Field                        | Default | Description                                                                                                                                                                                                                    |
     | ---------------------------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
     | Ownership Update Mode        | replace | Set how owners from source metadata update Pipeline owners. In replace mode, resolved owners from the current source replace existing owners. In append mode, resolved owners are appended to active existing Pipeline owners. |
     | Db Service Names             | —       | List of database service names used for lineage resolution.                                                                                                                                                                    |
     | Storage Service Names        | —       | List of storage service names used for lineage resolution.                                                                                                                                                                     |
     | Messaging Service Names      | —       | List of messaging service names used for lineage resolution.                                                                                                                                                                   |
     | Status Lookback Days         | 1       | Number of days of pipeline run status history to ingest. Only runs within the last N days will be fetched.                                                                                                                     |
     | Include Lineage              | On      | Turn off to stop fetching lineage from pipelines.                                                                                                                                                                              |
     | Mark Deleted Pipeline        | On      | Soft-delete pipelines in Collate when they are removed from the source. Associated entities like lineage are also deleted.                                                                                                     |
     | Include UnDeployed Pipelines | On      | Toggle whether un-deployed pipelines should be ingested. If set to false, only deployed pipelines will be ingested.                                                                                                            |

     <img src="https://mintcdn.com/collatedocs/tVR0kaoXvgs3p2Wx/public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/pipeline-agent-setup.png?fit=max&auto=format&n=tVR0kaoXvgs3p2Wx&q=85&s=471bc2416115b020f9ff6909bb9e3d89" alt="Agent Setup" width="1564" height="1476" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/pipeline-agent-setup.png" />

   * **Filter Patterns**: Apply include or exclude rules to scope which pipelines this agent ingests. These follow the same filter options described in **Step 5**.

     <img src="https://mintcdn.com/collatedocs/tVR0kaoXvgs3p2Wx/public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/pipeline-filter-pattern.png?fit=max&auto=format&n=tVR0kaoXvgs3p2Wx&q=85&s=46f6f78c05d40a88a3fe9471f0f31505" alt="Filter Patterns" width="1550" height="374" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/pipeline-filter-pattern.png" />

   * **Scope & Behaviour**: Control what metadata to include and how to handle deletions. Toggle each option on or off based on your needs:

     | Toggle            | Default | Description                                                                                                                                                            |
     | ----------------- | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
     | Enable Debug Log  | Off     | Sets the ingestion log level to DEBUG. Useful for troubleshooting.                                                                                                     |
     | Override Metadata | Off     | When on, source values overwrite existing descriptions, tags, owners, and display names in Collate. When off, Collate only updates fields that have no existing value. |
     | Override Lineage  | Off     | When on, existing lineage is replaced with newly extracted lineage on each run.                                                                                        |

     <img src="https://mintcdn.com/collatedocs/tVR0kaoXvgs3p2Wx/public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/pipeline-scope-behaviour.png?fit=max&auto=format&n=tVR0kaoXvgs3p2Wx&q=85&s=38c7ce4ce152231ee67e2d0519d2fa47" alt="Scope & Behaviour" width="1570" height="1022" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Pipeline/pipeline-scope-behaviour.png" />

5. On the **Schedule Interval** page, set when the agent runs:

   * **Schedule**: Choose a preset interval (Hourly, Daily, Weekly, Monthly) or enter a custom cron expression.
   * **On-Demand**: No automatic schedule; trigger the agent manually when needed.

   <img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/schedule.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=25cc1d78f6f2a8bd115830d034d1d8d1" alt="Schedule Interval" width="1588" height="1044" data-path="public/images/ai-2.0/connectors/metadata-ingestion/schedule.png" />

6. Click **Add** to deploy the agent.

## Troubleshooting

<Columns cols={2}>
  <Card title="Kinesis Firehose Troubleshooting" href="/ai-2-0/connectors/pipeline/kinesis-firehose/troubleshooting">
    Learn more about how to troubleshoot common Kinesis Firehose connector issues and resolve configuration or ingestion errors.
  </Card>
</Columns>
