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Control-M + AWS Database Migration Service (AWS DMS)
Your database migration starts before AWS DMS replicates a single record — and it can fail when something upstream breaks. A source extract finished late. A validation job never completed. Control-M orchestrates the full chain: migration preparation, AWS DMS replication, data validation, cutover, and downstream processing.
common workflow issues
Does this sound like your week?
These aren’t edge cases. They’re the normal operating conditions for teams running AWS DMS migrations across multiple tools. Here’s how Control‑M handles each one.
CUTOVER RISK
Migration finished at 2:07 AM. Validation never started.
AWS DMS completed replication, but downstream validation jobs never launched. Control-M detects migration completion events, evaluates dependencies, and automatically triggers validation workflows so cutover decisions are based on verified data.
FAILED REPLICATION
One table failed. The entire migration stalled overnight.
Control-M monitors AWS DMS task status and failure conditions in real time. Configurable retries, exception handling, and targeted recovery actions prevent a single table error from disrupting the broader migration workflow.
CROSS-SYSTEM DEPENDENCIES
Source exports finished late. Migration windows were missed.
Control-M coordinates dependencies across databases, file transfers, APIs, and cloud services. Migration tasks start only when upstream conditions are satisfied, eliminating timing assumptions and reducing missed migration windows.
SLA PRESSURE
The migration deadline is today. Nobody trusts the status.
Control-M provides centralized visibility across migration stages, dependency chains, and SLA milestones. Teams can see exactly where delays occur, predict breaches early, and take corrective action before business commitments are missed.
AUDIT GAPS
Compliance asked who approved production cutover.
Control-M maintains a complete audit trail of workflow execution, approvals, scheduling changes, and operator actions. Teams can trace every migration event from preparation through production cutover and validation.
INTEGRATION FACTS
Control‑M + AWS Database Migration Service (AWS DMS)
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Platform & OS coverage |
AWS cloud services · Windows Server · Linux (RHEL/SUSE/Ubuntu) · Amazon RDS platforms · self-managed databases · hybrid environments |
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Job types supported |
Run Data Migration (Migration Project) · Run Database |
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SLA monitoring & alerting |
SLA window definition · breach prediction · priority-based escalation · email notifications · ServiceNow alerting (via REST API) |
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Audit trail & access controls |
job-level change history · who-ran-what logging · role-based access control · approval workflows · centralized audit reporting · compliance-ready execution records |
end-to-end orchestration
One production workflow. Every tool in the stack.
Control-M orchestrates workflows across AWS DMS, Amazon RDS, Oracle, SQL Server, file transfers, validation tools, and cloud services in a single job flow — with dependency tracking, SLA visibility, and automated recovery across all of them.
- Cross-tool dependency: source database export → AWS DMS migration → validation job → production cutover
- Data-aware triggers: file arrival, API event, migration completion, validation
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AWS DMS |
migration task execution · status monitoring · completion detection · exception handling |
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Amazon RDS |
database preparation · schema validation · migration coordination |
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Oracle Database |
source extraction · dependency management · cutover sequencing |
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Microsoft SQL Server |
migration orchestration · validation workflows · status tracking |
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Amazon S3 |
file staging · arrival triggers · migration artifacts |
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ServiceNow |
incident creation · approval workflows · escalation management (via REST API) |
MONITOR MIGRATIONS
Monitor AWS DMS migrations across the entire workflow.
AWS DMS provides migration status, but not complete visibility across upstream preparation, validation, approvals, and downstream systems. Control-M delivers centralized operational visibility across every stage of the migration lifecycle:
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Migration execution status
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Runtime and duration history
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Dependency tracking
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Validation progress monitoring
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SLA risk indicators
SLA ASSURANCE
Keep migration deadlines visible and enforceable.
Database migrations often involve strict cutover windows and business deadlines. Control-M continuously tracks workflow progress, predicts SLA breaches, and automates escalation before delays affect production schedules:
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SLA breach prediction
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Automated escalations
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Deadline tracking
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Business calendar awareness
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Exception notification routing
Documentation
Bring order to complex workflows
Learn how Control-M helps teams orchestrate complex processes with greater visibility, coordination, and control.
