Control-M for Google Virtual Machine

Google Cloud Platform (GCP) Virtual Machine (VM) enables you to create, manage, and delete virtual machines on the Google Compute Engine (GCE).

Control-M for GCP VM enables you to do the following:

• Connect to any GCP VM endpoint from a single computer with secure login, which eliminates the need to provide authentication.
• Integrate GCP VM jobs with other Control-M jobs into a single scheduling environment.
• Execute any of the following GCP VM job operations:
  • Create a virtual machine.
  • Create a virtual machine from a template.
  • Start an existing virtual machine.
  • Stop a running virtual machine.
  • Reboot a virtual machine.
  • Delete an existing virtual machine.
• Monitor the status, results, and output of GCP VM jobs in the Monitoring domain.
• Attach an SLA job to your GCP VM jobs.
• Introduce all Control-M capabilities to Control-M for GCP VM including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.
• Run 50  GCP  VM jobs simultaneously per Agent.

Control-M for Google VM Compatibility

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

Control-M for Google VM 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 Google VM

This procedure describes how to deploy the Google VM plug-in, create a connection profile, and define a Google VM 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 Google VM plug-in from the Control-M for Google VM download page in the EPD site.
3. Install the Google VM plug-in via one of the following methods:
   • (For version 9.0.21.or later) Use the Provision service of Automation API:
     1. As an administrator on the Control-M/EM Server, store the downloaded zip file in the following location.
        Within several minutes, the zip file is available in all Control-M interfaces associated with the Control-M/EM.
        
        • Linux: $HOME/ctm_em/AUTO_DEPLOY
        • Windows: <EM_HOME>\AUTO_DEPLOY
     2. As an application user on the Agent machine, run the provision image command, as follows:
        • Linux: ctm provision image GVM_plugin.Linux
        • Windows: ctm provision image GVM_plugin.Windows
   • (For versions lower than 9.0.21) Use the Deploy service of Automation API, as described in deploy jobtype.
4. Create a Google VM connection profile in Control-M Web or Automation API, as follows:
   • Web: Creating a Centralized Connection Profile with Google Virtual Machine Connection Profile Parameters
   • Automation API:  ConnectionProfile:Google VM
5. Define a Google VM job in Control-M Web or Automation API, as follows:
   • Web: Creating a Job with Google VM Job parameters
   • Automation API: Job:Google VM