AWS Database Migration
NextPage helps teams plan and execute AWS database migrations with source audits, RDS and Aurora target selection, AWS DMS replication planning, validation, rollback, security, monitoring, and post-migration optimization.
Built for
Technical and operations leaders who need to move legacy, self-managed, or overloaded databases into AWS without losing data integrity, uptime, compliance evidence, reporting continuity, or customer trust.
A migration roadmap that identifies source risk, target AWS database fit, replication approach, downtime window, validation evidence, rollback path, and team responsibilities.
Controlled AWS database migration waves using AWS DMS, native backups, scripts, or hybrid approaches with pre-cutover and post-cutover checks.
A better operating model after migration with monitoring, backup policy, security controls, cost visibility, runbooks, and optimization priorities.
Why this matters
The best outsourcing and software projects work because expectations, ownership, and delivery rituals are clear from the first week.
The current database is tied to legacy hosting, fragile servers, manual backups, or scaling limits that make every traffic spike and release risky.
Leadership wants the benefits of RDS, Aurora, or AWS-managed storage, but downtime tolerance, cutover ownership, and rollback triggers are unclear.
Tables, stored procedures, schemas, reports, background jobs, files, and integrations make the migration more complex than a simple export and import.
Teams need validation evidence before cutover because customer records, financial data, operational workflows, or compliance reporting depend on accurate data.
Security controls such as encryption, IAM, VPC access, secrets, audit logging, backups, and retention need to be designed before production data moves.
Post-migration performance, cost, monitoring, and incident response are often forgotten until the new database is already live.
What we build
We shape the scope around the result you need, the systems you already have, and the first release that can create value.
We audit source databases, versions, schema complexity, stored procedures, data volume, integrations, jobs, compliance needs, downtime tolerance, and business-critical flows before choosing the migration path.
We help choose the right AWS target around workload behavior, availability needs, cost, team skills, licensing, scaling expectations, and future modernization plans.
We plan AWS Database Migration Service usage, native replication, schema conversion needs, staging environments, test runs, and CDC decisions based on actual cutover constraints.
A successful migration needs proof. We define record counts, sample checks, application smoke tests, reporting comparisons, UAT steps, rollback triggers, and final cutover runbooks.
We carry security into the database move with encryption, VPC controls, IAM, secrets, audit logging, retention, backups, restore drills, and least-privilege access.
After cutover, we tune performance, indexes, queries, monitoring, cost, alerts, failover behavior, maintenance windows, and the backlog for database modernization.
Technology stack
Migration choices depend on the applications, data stores, traffic patterns, compliance needs, and team skills already in place. We plan the stack so the move improves reliability instead of only changing the hosting bill.
Public, private, hybrid, and multi-cloud foundations for applications, databases, and workloads.
AWS
EC2, RDS, S3, ECS, Lambda
Azure
Apps, databases, identity
Google Cloud
Compute, storage, data
Private cloud
Controlled environments
Repeatable infrastructure patterns that make cutover, rollback, and environment parity easier to manage.
Docker
Application packaging
Kubernetes
Container orchestration
Terraform
Infrastructure as code
CI/CD
Release automation
Database and file migrations planned around consistency, downtime windows, backup policy, and validation.
PostgreSQL
Relational workloads
MySQL
Business platforms
Object storage
Files and media
Replication
Low-risk cutovers
Access, network, and compliance controls that need to move with the workload, not get bolted on later.
IAM
Least-privilege access
VPC design
Network segmentation
Secrets management
Credential control
Backups
Recovery planning
Monitoring, logs, and incident signals that make the migrated system easier to operate after launch.
CloudWatch
AWS monitoring
Sentry
Application errors
Uptime checks
Availability signals
Runbooks
Operational handoff
Testing and cost visibility to make sure the migration improves the system instead of shifting old problems.
Playwright
Critical-flow testing
Load testing
Capacity checks
Cost reports
Spend visibility
Performance audits
Post-move tuning
Delivery model
We keep discovery practical, ship in visible increments, and make ownership clear so you can scale with confidence.
We review source systems, database engines, schema, jobs, integrations, data volume, downtime tolerance, compliance constraints, and AWS fit before proposing a move.
You get a practical plan covering AWS architecture, migration method, AWS DMS or native tooling, test runs, validation, rollback, security, and operational ownership.
We execute migration waves, configure environments, run trial migrations, validate records and application flows, and manage production cutover with visible checkpoints.
We stabilize the migrated database with monitoring, performance tuning, backup checks, cost review, incident notes, and the next modernization backlog.
Engagement options
Choose the model that fits your current stage. We can start small, add specialists, or run a full product pod.
Best when you need a migration diagnosis, AWS target recommendation, downtime plan, risk map, and budget range before execution.
Best when one or more production databases need to move to AWS with AWS DMS planning, validation, rollback, and cutover support.
Best when the AWS database move is part of a broader cloud migration, application modernization, DevOps, reliability, or cost optimization roadmap.
Proof
NextPage is not starting from theory. The team has built and operated products, platforms, and internal systems with real users.
Maxabout: automotive platform with large-scale search traffic
NextBite: ordering workflows for food entrepreneurs
ChatRoll and OutRoll: communication and outreach products
FAQ
Clear answers help you understand how the engagement works before we get on a call.
AWS database migration services help teams assess, plan, move, validate, and operate databases on AWS services such as Amazon RDS, Amazon Aurora, and AWS-managed storage using the right mix of AWS DMS, native backups, replication, scripts, validation, rollback, and post-migration support.
Often, yes. AWS DMS can support full-load and change-data-capture migrations for many database engines, but the right approach depends on source and target engines, schema compatibility, stored procedures, data volume, downtime tolerance, network access, and validation requirements.
The choice depends on database engine, workload pattern, scaling needs, availability requirements, licensing, budget, operations skills, and modernization goals. We compare RDS, Aurora, and other AWS data options during the assessment.
We reduce downtime by mapping dependencies early, running trial migrations, using replication or change-data-capture where appropriate, validating data before cutover, planning the application connection switch, defining rollback triggers, and monitoring the database after launch.
Yes. We can help move on-premise, self-managed cloud, legacy server, or aging application databases to AWS when the source system, target model, compatibility, security, and cutover path are clear enough to execute safely.
Validation usually includes record counts, row samples, relationship checks, reports, application smoke tests, integration checks, business-user signoff, exception logs, and post-cutover monitoring. The exact evidence depends on the database and business risk.
Yes. We plan encryption, IAM, VPC access, secrets, audit logging, backups, retention, least-privilege access, and restore checks around the migration so security is part of the cutover plan rather than a late add-on.
Post-migration work usually includes monitoring, performance tuning, backup and restore verification, cost review, alert setup, runbooks, incident-response notes, and a modernization backlog for query, schema, or application improvements.
Next step
Share your goal, current stack, deadline, and team gaps. We typically respond within 24 hours.
Use the project form first
The form captures your goal, budget, timeline, and service context so we can route the lead, prepare properly, and keep follow-up inside the pipeline.