Control-M for AWS EMR

AWS EMR is a cloud-based platform for running big data frameworks . 

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

  • Connect to any AWS EMR endpoint from a single computer with secure login, which eliminates the need to provide authentication.
  • Integrate AWS EMR  jobs with other Control-M jobs into a single scheduling environment.
  • Introduce all Control-M capabilities to AWS EMR, including advanced scheduling criteria, complex dependencies, quantitative and control resources, and variables.
  • Run 50 AWS EMR jobs simultaneously per Control-M/Agent.

Control-M for AWS EMR Compatibility

The following table lists the prerequisites that are required to use the AWS EMR plug-in, each with its minimum required version.

ComponentVersion
Control-M/EM9.0.20.200
Control-M/Agent9.0.20.200
Control-M Application Integrator9.0.20.201
Control-M Web9.0.20.200
Control-M Automation API9.0.20.250

Control-M for AWS EMR is supported on Control-M Web and Control-M Automation API, but not on Control-M client.

To download the required installation files for each prerequisite, see Obtaining Control-M Installation Files via EPD.

Setting up Control-M for AWS EMR

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

NOTE: Integration plug-ins released by BMC require an Application Integrator installation at your site. However, these plug-ins are not editable and you cannot import them into Application Integrator. To deploy these integrations to your Control-M environment, you import them directly into Control-M using Control-M Automation API.

Before you Begin

Verify that Automation API is installed, as described in Automation API Installation.

Begin

  1. Create a temporary directory to save the downloaded files.

  2. Click http://www.bmc.com/available/epd and follow the instructions on the EPD site to download the AWS EMR plug-in, or go directly to the Control-M for AWS EMR download page.

  3. Deploy the AWS EMR job via Automation API, as described in deploy jobtype.
  4. Create an AWS EMR connection profile in Control-M Web or Automation API, as follows:
  5. Define an AWS EMR job in Control-M Web or Automation API, as follows:
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