Control-M for GCP Cloud Run

GCP Cloud Run is a container management service that enables you to execute, stop, manage, and monitor containerized applications in a cluster.

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 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 a GCP Cloud Run job in Control-M SaaS and Automation API.

Before You Begin

• Verify that Java is installed, as described in Control-M External Java Installation.

• Verify that Automation API is installed, as described in Setting Up the API.

• Verify that Agent version 9.0.21.080 or higher is installed.

Begin

1. Run one of the following provision image commands:

   • Linux: ctm provision image GCP_Cloud_Run_plugin.Linux

   • Windows: ctm provision image GCP_Cloud_Run_plugin.Windows

2. Create a GCP Cloud Run connection profile in Control-M SaaS or Automation API, as follows:

   • Control-M SaaS: Create a Centralized Connection Profile with GCP Cloud Run Connection Profile Parameters

   • Automation API: ConnectionProfile:GCP Cloud Run

3. Define a GCP Cloud Run job in Control-M SaaS or Automation API, as follows:

   • Control-M SaaS: Create a Job with GCP Cloud Run Job parameters

   • Automation API: Job:GCP Cloud Run

Change Log

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

Plug-in Version	Details
1.0.00	Initial version