The enterprise guide to migrating to Control-M^®

At some point, you ask: “Is our orchestration platform helping us move faster or is it holding us back?”

If you’re using Redwood RunMyJobs, Astronomer Astro, Stonebranch Universal Automation Center, or a custom solution, your platform may be working well today. But as your workflows expand across more systems, teams on any platform can start to hit friction.

The question is no longer whether your current platform works. It’s whether it can keep up with where your business is going next.

Not sure if it’s time to migrate? Ask yourself:

• Are we spending more time maintaining workflows than improving them?
• Is it harder to manage dependencies across cloud and legacy systems?
• Do failures require manual intervention or complex workarounds?
• Are visibility and governance becoming harder as we scale?
•  Are we delaying new initiatives because orchestration can’t keep up? 

If you answered “yes” to even a few of these, your current platform may be limiting your ability to scale and move faster. And if you’re considering a change, your next question may be, “How difficult will it be to migrate?” 

Phase 1: Assess and map your architecture

Goal: Understand your current environment and define a safe migration path.

What happens:

1. Identify dependencies to help prevent disruptions to critical workflows.
2. Inventory jobs, schedules, integrations, and automation logic.
3. Classify workflows based on business impact and SLA requirements.
4. Model job volumes, peak loads, and scaling needs. 

Team lift: Low

This phase focuses on discovery and planning, so disruption to your daily operations is minimal.

Why risk stays controlled

Enterprise safeguards are embedded from the start to keep the migration controlled and aligned with your business continuity requirements.

Phase 3: Migrate and validate in parallel

Goal: Move workflows safely while validating performance and dependencies.

What happens:

1. Convert jobs using automated migration tools that preserve logic.
2. Run existing and new environments side by side.
3. Validate integrations, dependencies, and SLAs.
4. Confirm readiness before production cutover. 

Team lift: Moderate

Your team participates in validation and readiness checks while Control-M workflows are tested in parallel with the existing environment.

Why risk stays controlled

Running both environments in parallel protects production workloads while rollback strategies prevent business disruptions. 

Phase 2: Design and optimize the future architecture

Goal: Translate the assessment insights into a scalable orchestration architecture.

What happens:

1. Define your hybrid and cloud deployment architecture.
2. Identify opportunities to consolidate automation tools.
3. Align with DevOps, including API enablement and Git integration.
4. Prepare training and onboarding plans for your teams. 

Team lift: Low to moderate

Planning and architecture decisions happen here, but production environments remain unchanged.

Why risk stays controlled

We design your new environment before migration begins to help prevent disruptions during the transition.

Phase 4: Go live with confidence

Goal: Transition Control-M into production while ensuring stability and visibility.

What happens:

1. Transition workloads in phased migration waves.
2. Monitor SLAs and workflow performance in real time.
3. Use centralized monitoring and impact analysis to track workflow health.
4. Optimize configurations and identify further consolidation opportunities post migration. 

Team lift: Moderate, with structured support

Your teams gain visibility and training while Control-M becomes the system of record.

Why risk stays controlled

Phased cutovers, SLA monitoring, and structured hypercare ensure your workflows remain stable as Control-M moves into production.