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Control-M for AWS MWAA

AWS Managed Workflows for Apache Airflow (MWAA) enables you to create, schedule, and monitor data pipelines and workflows.

Control-M for AWS MWAA enables you to do the following:

  • Manage AWS MWAA credentials in a secure connection profile.
  • Connect to any AWS MWAA endpoint.
  • Integrate AWS MWAA  jobs with other Control-M jobs into a single scheduling environment.
  • Monitor the status, results, and output of AWS MWAA jobs in the Monitoring domain.
  • Attach an SLA job to your AWS MWAA jobs.
  • Introduce all Control-M capabilities to Control-M for AWS MWAA including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.
  • Run 50 AWS MWAA jobs simultaneously per Agent.

Setting up Control-M for AWS MWAA

This procedure describes how to install the AWS MWAA plug-in, create a connection profile, and define an AWS MWAA job in Helix Control-M and Automation API.

Before you Begin

  • Verify that Automation API is installed, as described in Setting up the API.
  • Verify that Agent version 9.0.21.080 or later is installed.

Begin

  1. On the Agent host, set the Java environment variable by running one of the following commands through a command line:
    • Linux:
      • Bourne shell/bash: export BMC_INST_JAVA_HOME=<java_11_directory>
      • csh/tcsh: setenv BMC_INST_JAVA_HOME <java_11_directory>
    • Windows: set BMC_INST_JAVA_HOME="<java_11_directory>"
  2. Run one of the following API commands:
    • For a fresh installation, use the provision image command:
      • Linux: ctm provision image AWS_MWAA_plugin.Linux
      • Windows: ctm provision image AWS_MWAA_plugin.Windows
    • For an upgrade, use the following command:
      ctm provision agent::update
  3. Create an AWS MWAA connection profile in Helix Control-M or Automation API, as follows:
  4. Define an AWS MWAA job in Helix Control-M or Automation API, as follows:
Warning

Note

To remove this plug-in from an Agent, see Removing a Plug-in. The plug-in ID is AMW112024.

Change Log

The following table provides details about changes that were introduced in new versions of this plug-in:

Plug-in Version

Details

1.0.01

Rerun DAG action added.

 

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