Tutorials

The following tutorials introduce you to common best practices of using Control-M Automation API.

Before you begin

Set up your environment, as described in Setting up the prerequisites .

The following tutorials are available to get you started working with Control-M Automation API:

Tutorial-Defining-authorizations-for-Control-M-roles-and-users	Explains how to define new roles and users for Control-M and how to control the authorizations that they have for Control-M resources
Tutorial-Creating-your-first-job-flow	Explains how to write jobs that execute OS commands and scripts
Automating Code Deployment	Explains how DevOps engineers can automate code deployment
Editing part of an existing flow	Explains how to modify a single job within a flow, without changing any other jobs or folders in the flow.
Tutorial-Running-applications-and-programs-in-your-environment	Explains how to run the following types of job flows: Hadoop-Spark job flow Script and command job flow File transfer and database queries job flow
Tutorial-Building-a-docker-container-for-batch-applications	Explains how to build a docker container for Control-M/Agent and run some basic API commands

Additional code samples are available through the Control-M GitHub pages:

For more information about Control-M, use the following resources: