Detect CDC failures faster with AWS DMS
Database Blog
This article explains how to tune AWS Database Migration Service (DMS) error handling settings to detect change data capture (CDC) failures faster during migration cutover, preventing silent retries that can cause data lag and inconsistency.
- Default DMS settings allow retry waits to grow to 30 minutes, delaying failure detection during cutover
- Configure bounded exponential backoff with RecoverableErrorThrottlingMax set to 180 seconds to surface failures in ~225 seconds
- Set all apply-error policies (INSERT, UPDATE, DELETE, ESCALATION) to STOP_TASK for immediate detection of data conflicts
- Pair strict error settings with CloudWatch alarms on CDCLatencyTarget and Amazon EventBridge rules for task failures
- Test configurations in non-production environments before applying to production migration tasks
- Recommended configuration balances transient error recovery with bounded failure detection for compliance-driven cutovers
Tuning DMS error handling creates two protection layers: environmental retry bounds and data-conflict detection, enabling faster failure surfacing and reducing risk of undetected data inconsistency during migration.
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