Tutorials

Notebooks:

• Getting Started with Control-M Python Client
  • Creating a Workflow
  • Adding Jobs in the Workflow
  • Building and Deploying
  • Running and checking the output
  • Flows
  • Dummy Jobs and run_as_dummy
• Monitoring Flows with Control-M Python Client
  • Running a Workflow
  • Checking the Status
  • Errors and Troubleshooting
• Authentication
  • Environments
  • Credentials
• Working with Application Integrator
  • Building Custom Application Integrator Job Types with AIJob
• Auto generation of AI Plugins with Control-M Workbench