Database Migration
AWS Database Migration
Database Migration Services for AWS
Move critical databases to Amazon RDS or Aurora with a tested plan for compatibility, validation, and cutover.
Complimentary assessment
Assess the workload, dependencies, and requirements shaping the move.
Controlled cutover
Plan replication, validation, cutover, and rollback before production change.
AWS funding guidance
Identify incentives for eligible migration work.
Request a Database Migration Assessment
Tell us what you are running today and what is driving the change.
Start with a Database Migration Assessment
Before selecting tools or scheduling a cutover, Stratus10 evaluates the source database, target options, application dependencies, and operational requirements. The assessment identifies compatibility work, migration complexity, and the preparation required for a production-ready target environment.
The initial assessment is complimentary. It can also identify AWS funding and incentives for eligible migration work.
What we evaluate
- Database engines, versions, workload patterns, size, and growth
- Schemas, stored procedures, extensions, data types, and database code
- Application integrations and upstream or downstream dependencies
- Availability, recovery, security, compliance, and performance requirements
- Connectivity, data-transfer constraints, and cutover expectations
What you receive
- Recommended AWS database service and target architecture
- Compatibility findings and required remediation work
- Migration approach, phasing, and initial timeline
- Testing, validation, cutover, and rollback strategy
- A path to applicable AWS funding and incentives
When to Plan a Database Migration
- A self-managed database requires increasing engineering or administrative attention.
- Capacity or performance needs are growing with the application.
- A database or operating-system lifecycle milestone is approaching.
- Commercial database licensing is becoming a larger share of application cost.
- A data-center exit, cloud migration, acquisition, or application modernization is underway.
- The business needs a defined cutover window and a tested rollback plan.
How a Database Migration Works
Confirm Scope and Mobilize
Confirm the target decision, primary dependencies, participants, required access, and migration timeline so the work can move into design and preparation.
Design and Prepare the Target
Build the target database architecture, networking, access controls, encryption, monitoring, backup, recovery, and availability configuration. Convert or remediate schemas and database code when the target engine differs.
Migrate, Test, and Validate
Run initial data loads and ongoing replication where appropriate. Test application behavior, query performance, integrations, failure scenarios, and data completeness before approving production cutover.
Cut Over and Transition Operations
Execute the approved cutover and rollback plan, validate the production environment, and complete the work with documentation, runbooks, knowledge transfer, and prioritized optimization recommendations.
Selected Database Migration Results
BoviSync: billions of rows moved to Amazon Aurora
BoviSync's production PostgreSQL database had outgrown its self-managed EC2 deployment. Stratus10 separated the infrastructure move from the version upgrade to reduce cutover risk, then tuned the new Aurora platform after migration. The result: 63% lower read-tier cost and 98% less storage-tier read traffic, with AWS funding helping cover the project.
SEACOMP: managed MySQL for performance and security
SEACOMP moved its manufacturing database to Amazon RDS for MySQL, strengthening the database foundation for performance, security, recovery, and ongoing operations.
CFO Hub: RDS Multi-AZ for a more resilient application
CFO Hub replatformed its application on AWS, combining RDS Multi-AZ with multi-AZ application infrastructure and Auto Scaling to support growth, availability, and continuity.
Our production PostgreSQL database had grown to billions of rows, and we were hitting the limits of our self-managed EC2 deployment. Moving to Amazon Aurora was an important move for our future growth.
Stratus10's phased migration minimized risk, separating the infrastructure move from the PostgreSQL version upgrade. We came out the other side with a fully managed platform and meaningfully lower operating costs. Stratus10 also helped us secure AWS funding that made the project significantly more accessible.
- Cuyler Quint, IT Lead & Software Engineering Manager - BoviSync
Database Migration FAQ
AWS Database Migration Service is a managed AWS service for migrating and replicating database workloads. It can perform an initial full load and, for supported sources and targets, use change data capture to keep the target synchronized until a planned cutover. Stratus10 determines whether AWS DMS, native database tools, or a combination is the right fit.
Common relational migrations involve PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server, with Amazon RDS and Amazon Aurora as frequent targets. Source and target versions, features, data volume, and application dependencies determine the recommended approach.
The cutover window depends on the engine, transaction volume, data size, application design, and level of change between source and target. Where supported, ongoing replication can keep the target synchronized until a planned cutover. The migration plan defines the expected outage, validation checkpoints, and rollback criteria before production work begins.
Eligible migrations may receive AWS funding or incentives through programs such as the AWS Migration Acceleration Program. Stratus10 identifies applicable options during the assessment and coordinates the supporting business case and migration plan with AWS.
Plan a Controlled Database Migration
Use the assessment to understand compatibility, cost, downtime, operational requirements, and AWS funding before committing to a migration path.
Request a Database Migration Assessment
Tell us what you are running today and what is driving the change.