Control-M for GCP Cloud Run

Google Cloud Platform (GCP) Cloud Run is a service that provides a serverless platform to deploy and manage containerized applications. 

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

  • Execute GCP Cloud Run jobs in containers.
  • Manage GCP Cloud Run credentials in a secure connection profile.
  • Connect to any GCP Cloud Run endpoint.
  • Introduce all Control-M capabilities to Control-M for GCP Cloud Run, including advanced scheduling criteria, complex dependencies, Resource Pools, Lock Resources, and variables.
    • Integrate GCP Cloud Run jobs with other Control-M jobs into a single scheduling environment.
    • Monitor the job status, results, and output of GCP Cloud Run jobs.
    • Attach an SLA job to the GCP Cloud Run jobs.

Setting up Control-M for GCP Cloud Run

This procedure describes how to deploy the GCP Cloud Run plug-in, create a connection profile, and define an GCP Cloud Run job in 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, run the following provision image command:
      • Linux: ctm provision image GCP_Cloud_Run_plugin.Linux
      • Windows: ctm provision image GCP_Cloud_Run_plugin.Windows
    • To upgrade, run the following command:
      ctm provision agent::update
  3. Create a GCP Cloud Run connection profile in Helix Control-M or Automation API, as follows:
  4. Define a GCP Cloud Run job in Helix Control-M 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 GCR042024.

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