I’ve been deep-diving into the architectural impact of migrating On-Premise Oracle databases to AWS RDS. The shift isn't just about changing where
the data lives; it's about fundamentally changing the operational model.
Here are my key takeaways from a recent deep dive:
⚙️ Database Engine
On-Prem: Full control over versions and patching.
RDS: Managed service. You choose the version, but AWS manages the OS. Options for "License Included" or "Bring Your Own License" (BYOL).
⚡ High Availability (HA)
On-Prem: Complex setup (RAC, manual Data Guard).
RDS: Multi-AZ deployment. Synchronous replication to a standby instance with automatic failover.
📈 Scalability
On-Prem: Limited by physical hardware; lengthy procurement cycles.
RDS: Vertical scaling (push-button instance resizing) and Storage Auto Scaling (up to 64TB) with zero downtime.
🛡 Security & Backups
On-Prem: Physical security + Network firewalls. Manual RMAN scripts for backups.
RDS: VPC Security Groups, IAM integration, and Encryption at Rest (KMS). Automated backups and Point-in-Time Recovery (PITR).
⚙️Maintenance
On-Prem: DBA manages OS patching, DB patching, and hardware.
RDS: AWS handles OS patching. You define a "Maintenance Window" for DB updates.
🔍 Monitoring
On-Prem: OEM (Enterprise Manager).
RDS: CloudWatch metrics + Performance Insights (visualizes load by waits/SQL).
🛠 Migration Tools
The Winners: AWS Schema Conversion Tool (SCT) for heterogenous migrations and AWS DMS (Database Migration Service) for continuous data replication.
The move to RDS isn't just a "lift and shift"—it's a shift from managing infrastructure to managing data value.
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