Control-M for Argo Workflows

Argo Workflows enables you to define, run, and monitor Kubernetes-native workflows as Directed Acyclic Graphs (DAGs) from Control-M.

Control-M for Argo Workflows enables you to do the following:

  • Submit and monitor Argo Workflows in your Kubernetes cluster and pass workflow parameters.

  • Manage Argo Workflows credentials in a secure connection profile.

  • Connect to any Argo Workflows endpoint.

  • Introduce all Control-M capabilities to Control-M for Argo Workflows, including advanced scheduling criteria, complex dependencies, resource pools, lock resources, and variables.

  • Integrate Argo Workflows jobs with other Control-M jobs into a single scheduling environment.

  • Monitor the status, results, and output of Argo Workflows jobs.

  • Attach an SLA job to the Argo Workflows jobs.

Setting up Control-M for Argo Workflows

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

Before You Begin

Begin

  1. Run one of the following provision image commands:

    • Linux: ctm provision image Argo_Workflows_plugin.Linux

    • Windows: ctm provision image Argo_Workflows_plugin.Windows

  2. Create an Argo Workflows connection profile in Control-M SaaS or Automation API, as follows:

  3. Define an Argo Workflows job in Control-M SaaS or Automation API, as follows:

To remove this plug-in from an Agent, see Removing a Plug-in from the Agent. The plug-in ID is ARG092026.

Change Log

The following table describes changes that were introduced in new versions of this plug-in.

Plug-in Version

Details

1.0.00

Initial version