Migrate applications, databases, and infrastructure to AWS with minimal downtime and a clear, scalable operating model after cutover.
Organizations migrate to AWS to reduce operational risk, control infrastructure costs, and remove scaling limits tied to on-prem systems. Nova supports that move with structured 2-4 week assessments, controlled execution, and post-migration ownership so workloads stay stable after cutover. Our support spans the full migration path, from legacy environments to AWS-native services.
As an AWS Advanced Partner, Nova delivers AWS migration services backed by certified engineers and real delivery experience. With Nova, you'll work with teams that use AWS Migration Hub, Application Migration Service, and Database Migration Service to plan, execute, and validate migrations with controlled impact.
Bridge Support (VMware Environments): Nova’s Bridge Support provides temporary, managed VMware operations for customers with valid perpetual licenses.
Whether the goal is to exit on-prem infrastructure, reduce operational risk, or prepare workloads for AWS-native operation, Nova supports AWS migrations with structured delivery and post-cutover ownership.
Workloads are sequenced based on business impact and dependency risk to protect revenue-critical systems. High-impact applications are validated before broader migration waves proceed.
Application and data dependencies are mapped before execution. NOVA prevents broken integrations, background job failures, and reporting gaps after cutover.
Cutover windows, validation steps, and rollback conditions are defined in advance. Teams know when systems switch and what happens if performance degrades.
Runbooks, access controls, alerts, and escalation paths are prepared before go-live. Production environments are delivered ready to operate.
Post-cutover spend baselines are established immediately. Asset Relief can reduce overlapping infrastructure costs during transition.
Latency, throughput, and error rates are measured against pre-migration benchmarks. Systems are validated before final sign-off.
Access controls, logging, and network boundaries are configured prior to production cutover. Security posture is established as part of migration.
Migration steps and configuration decisions are documented during execution. This supports compliance and internal review without reconstruction.
Nova and partners can acquire and lease back on-prem hardware during migration. This converts CapEx to OpEx and eliminates stranded infrastructure post-migration.

Why NOVA
Measured outcomes from AWS migration projects where Nova supported assessment, execution, and post-migration operation for production systems.
$500K in License Savings
Brightfield eliminated over $500,000 in annual Oracle licensing costs by migrating away from Oracle as both a database vendor and hosting provider to an AWS-based, open-source architecture.
Non-Disruptive Deployments
Accelerated Go-to-Market
Moving from a monolithic application to a containerized, microservices-based architecture on AWS allowed Brightfield to release features faster and reduce delays caused by full-product testing cycles.
Our Services
Gain a competitive advantage and leverage emerging technology to transform your business.
Our DevOps experts help you stay agile and launch new products, optimizing delivery pipelines.
We monitor, optimize, and secure your tech stack while keeping costs in check and performance high.
Streamline operations and unlock innovation with custom integrations and software capabilities.
Frequently Asked Questions
Get quick answers to common questions about our AWS migration services. Whether you’re planning a migration or evaluating a delivery partner, we’re here to help.

AWS migration is the process of moving applications, data, and infrastructure from on-premises workloads or hosted environments into a managed cloud environment on AWS. This typically includes workloads running in legacy data centers, virtualized platforms, or older operating models.
Most migrations aim to reduce the total cost of ownership, improve reliability, and prepare systems for long-term operation using managed AWS services. The scope can include servers, databases, identity systems, and supporting infrastructure.
A typical AWS migration process follows three core phases:
This structure supports migration at scale without treating every workload the same.
AWS provides several migration tools that support different parts of a migration:
These tools are used together, depending on workload type and risk.
Post-migration architectures commonly rely on managed AWS services rather than custom infrastructure.
Compute workloads usually run on Amazon EC2, while storage and object data are placed in Amazon S3. Databases frequently move to Amazon RDS or Amazon Aurora, depending on performance and availability needs.
Production systems may be deployed across multiple AWS regions to support resilience, latency requirements, and disaster recovery planning. The final design depends on workload behavior and data sensitivity.
At Nova, the focus is on delivery and operational stability rather than one-time migrations. Engagements are structured to support planning, execution, and post-cutover operation, so teams are not left managing environments they did not design.
Migration planning starts with understanding how workloads run today, including infrastructure usage patterns, application dependencies, and operational constraints. This information is used to sequence migrations, reduce downtime risk, and decide where refactoring is necessary versus when direct migration is more appropriate.
Nova supports migrations from on-prem and virtualized platforms, including VMware vSphere, and assists with database transitions such as SQL Server to AWS-supported database services.
Identity and access integration, including Active Directory connectivity, is addressed as part of the migration scope when required. The outcome is an AWS environment designed for stable operation after cutover, without forcing unnecessary rework.
Licensing and cost structure usually drive migration decisions. So, we review models and support license transitions where applicable to reduce long-term spend. This includes aligning database and operating costs with AWS pricing models rather than carrying forward on-prem assumptions.
Throughout the project, we focus on measurable cost savings and ongoing management to ensure teams understand spend patterns once workloads are live. This avoids surprises after migration and supports long-term planning.
Yes. Migration work typically touches core platform services.
We support operating system transitions, authentication models, and access controls as part of the migration scope. This includes integrating directory services, validating access paths, and preparing environments for audit and security review.
Security configuration aligns with the target AWS architecture, so controls are in place before production traffic moves. This reduces post-migration rework and stabilizes the environment early.
Migration does not end at cutover. After workloads are live, we help teams validate system behavior, confirm performance baselines, and prepare for operational ownership. This includes monitoring setup, runbooks, and guidance on using cloud-native features safely.
Our support extends beyond initial cloud migration to help teams operate AWS systems day to day, reduce risk, and plan future improvements using AWS cloud migration services as a foundation.
Getting started usually begins with a short discovery discussion to understand current systems, timelines, and constraints. From there, we scope assessment work, confirm sequencing, and define next steps based on real operating conditions.
This approach avoids assumptions and sets expectations early, especially for complex or regulated environments. If you’re planning an AWS migration and want to discuss scope, risk, or timelines, our team is ready to help.
Nova Is Your North Star for AWS Migration
From assessment to cutover and post-migration support, Nova works with your team to migrate applications, data, and infrastructure to AWS with defined timelines and ownership. Ready to learn what's possible?