Control-M for Azure DevOps

Azure DevOps provides an integrated set of services and tools to manage your software projects, from planning and development through testing and deployment. Azure DevOps delivers services through a client/server model.

Control-M for Azure DevOps enables you to do the following:

  • Execute Azure DevOps pipelines.
  • Manage Azure DevOps credentials in a secure connection profile.
  • Connect to any Azure DevOps endpoint.
  • Integrate Azure DevOps jobs with other Control-M jobs into a single scheduling environment.
  • Introduce all Control-M capabilities to Control-M for Azure DevOps, including advanced scheduling criteria, complex dependencies, quantitative and control resources, and variables.
  • Monitor the job status, results, and output of Azure DevOps jobs.
  • Attach an SLA job to the Azure DevOps jobs.

Control-M for Azure DevOps Compatibility

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

ComponentVersion
Control-M/EM9.0.21.100
Control-M/Agent9.0.21.100
Control-M Application Integrator9.0.21.100
Control-M Web9.0.21.100
Control-M Automation API9.0.21.100

Control-M for Azure DevOps 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.

Setting up Control-M for Azure DevOps

This procedure describes how to deploy the Azure DevOps plug-in, create a connection profile, and define an Azure DevOps 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. Download the Azure DevOps plug-in from the Control-M for Azure DevOps download page in the EPD site.
  3. Install the Azure DevOps plug-in via one of the following methods:
    • (9.0.21 or higher) Use the Automation API Provision service:
      1. Log in to the Control-M/EM Server machine as an Administrator and store the downloaded zip file in the one of the following locations (within several minutes, the job type appears in Control-M Web):
        • Linux: $HOME/ctm_em/AUTO_DEPLOY
        • Windows: <EM_HOME>\AUTO_DEPLOY
      2. Log in to the Control-M/Agent machine and run the provision image command, as follows:
        • Linux: ctm provision image Azure_DevOps_plugin.Linux
        • Windows: ctm provision image Azure_DevOps_plugin.Windows
    • (9.0.20.200 or lower) Use the Automation API Deploy service, as described in deploy jobtype.
  4. Create an Azure DevOps connection profile in Control-M Web or Automation API, as follows:
  5. Define an Azure DevOps job in Control-M Web or Automation API, as follows:


Note

To remove this plug-in from an Agent, follow the instructions in Removing a Plug-in. The plug-in ID is ADO112023.

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