Control-M for Amazon Bedrock

Amazon Bedrock enables you to build and scale generative AI applications without the need to manage infrastructure or train models from scratch.

Control-M for Amazon Bedrock enables you to do the following:

  • Trigger a Bedrock flow, which enables you to start and run a predefined sequence of model calls and agentic AI steps directly from your application or workflow.

  • Manage Amazon Bedrock credentials in a secure connection profile.

  • Connect to any Amazon Bedrock endpoint.

  • Introduce all Control-M capabilities to Control-M for Amazon Bedrock, including advanced scheduling criteria, complex dependencies, resource pools, lock resources, and variables.

  • Integrate Amazon Bedrock jobs with other Control-M jobs into a single scheduling environment.

  • Monitor the status, results, and output of Amazon Bedrock jobs.

  • Attach an SLA job to the Amazon Bedrock jobs.

Setting up Control-M for Amazon Bedrock

This procedure describes how to deploy the Amazon Bedrock plug-in, create a connection profile, and define an Amazon Bedrock job in Control-M SaaS and Automation API.

Before You Begin

Begin

  1. Do one of the following:

    • Install: Run one of the following provision image commands:

      • Linux: ctm provision image AWS_Bedrock_plugin.Linux

      • Windows: ctm provision image AWS_Bedrock_plugin.Windows

    • Upgrade: Run the following command:

      ctm provision agent::update

  2. Create an Amazon Bedrock connection profile in Control-M SaaS or Automation API, as follows:

  3. Define an Amazon Bedrock job in Control-M SaaS or Automation API, as follows:

To remove this plug-in from an Agent, see Removing a Plug-in. The plug-in ID is ABR092025.

Change Log

The following table describes changes that were introduced in new versions of this plug-in.

Plug-in Version

Details

1.0.00

Initial version