Prior to intake, we establish a master schema that standardizes our deployment framework. This efficiently and securely maps applications to their technical requirements—host groups, service accounts, and connection profiles—across all environments. Every configuration undergoes rigorous validation before the final JSON or XML is imported into Control-M.
To ensure your technical requirements are flawlessly integrated, the validation process typically follows a multi-layered approach. This ensures that any data mapping errors are caught before they can affect your production environment.
Validation Workflow
- Schema and Syntax Verification: We use automated tools to ensure the JSON or XML structure is perfectly compliant. This includes checking for mandatory fields, valid characters, and field length constraints.
- Environment-Specific Rules: Every definition is cross-referenced against your master schema to confirm that applications are correctly paired with their designated host groups, “Run As” users, and connection profiles for the specific environment (DEV, SIT, UAT, or PROD).
- Control-M Site Standards: If using Control-M Workload Change Manager, the system automatically evaluates job definitions against pre-defined site standards to maintain organization-wide consistency.
- Dry-Run Simulation: Before a live import, we utilize the Control-M Automation API build service. This “compiles” the definitions to simulate a deployment, flagging potential issues like non-existent job types or corrupted folder structures without altering the actual database.
- Secure Audit Trail: Throughout this process, every validation step and modification is logged, creating a secure, transparent audit trail that confirms the integrity of the data before it enters Control-M.
This rigorous pre-import validation ensures that only high-quality, verified configurations are deployed, minimizing the risk of job failures or security vulnerabilities.