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AWS DMS implementation guide: Building resilient database migrations through testing, monitoring, and SOPs
- AWS Database Migration Service (AWS DMS) simplifies database migration and replication, offering a managed solution for customers.
- Investing time in proactive database migration planning yields substantial returns by minimizing disruptions and achieving better migration outcomes.
- This post provides proactive measures for optimizing AWS DMS implementations from the initial setup phase, focusing on planning, failure testing, SOPs, monitoring, and the AWS Well-Architected Framework.
- Conducting a proof of concept (PoC) helps in identifying issues early and estimating migration time and resource commitments.
- Systematic failure testing is crucial for maintaining business continuity and developing SOPs to address system disruptions.
- Monitoring and alerting play a key role in maintaining seamless replication operations and promoting data integrity during migration.
- AWS DMS provides various monitoring features like CloudWatch metrics, logs, and time travel logs for effective monitoring and reporting.
- Establishing comprehensive contingency plans, setting up CloudWatch alarms, and using Well-Architected Framework principles contribute to designing reliable cloud architectures.
- The post emphasizes the importance of developing customized migration strategies aligned with unique use cases to ensure long-term success in data movement strategies.
- Authors include Sanyam Jain, a Database Engineer, Sushant Deshmukh, a Senior Partner Solutions Architect, and Alex Anto, a Data Migration Specialist Solutions Architect.
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