What you gain with our team
Applications our team prepares for scale
Modernized architecture. Legacy applications are transformed into scalable cloud native solutions using microservices, serverless computing, and containerization.
Reliable database migration. Schema conversion and data migration are handled with data integrity and performance optimization as the standard, not an exception.
Modern APIs. Legacy integrations become RESTful APIs and GraphQL endpoints with API gateways, authentication, rate limiting, and monitoring built in.
Performance tuned post migration. Caching strategies, database query optimization, auto scaling, and cloud native observability are implemented after the move to keep performance improving.
We treat your applications as the riskiest part of any cloud move
- We're running monolithic applications on Java, .NET, PHP, or Python that weren't built for cloud native environments
- We need our relational or NoSQL databases moved to managed cloud services without losing data integrity or performance
- We want to containerize and orchestrate our applications but don't have in house Kubernetes skill set
- We can't afford downtime during cutover for business critical applications
Application migration is where modernization and risk meet, and it needs a deliberate system, not a rush.
This service is scoped per engagement rather than sold in fixed tiers. Here's what's included.
- Modernized architecture. Legacy applications are transformed into scalable cloud native solutions using microservices, serverless computing, and containerization.
- Reliable database migration. Schema conversion and data migration are handled with data integrity and performance optimization as the standard, not an exception.
- Modern APIs. Legacy integrations become RESTful APIs and GraphQL endpoints with API gateways, authentication, rate limiting, and monitoring built in.
- Performance tuned post migration. Caching strategies, database query optimization, auto scaling, and cloud native observability are implemented after the move to keep performance improving.
Delivery & Format
The first thing we ask about any application is which of the six R's it actually needs, rehost, refactor, revise, rebuild, replace, or retire, not whether you're ready to move it yet.
How do you decide whether to rehost or rebuild an application?
We assess each application individually against the 6 R's framework, rehost, refactor, revise, rebuild, replace, or retire, and recommend the path that fits its complexity and your timeline.
What happens first?
Your project begins with a wide-ranging audit completed within 7 business days, providing detailed findings and strategic recommendations.
How do you price this?
Pricing is set through a scope conversation, not a flat rate, since application migration services varies with what you're starting from. What you're paying for is modernized architecture, and the quote reflects how much work that takes given your current setup.
Will we experience downtime during cutover?
We use blue green deployments and gradual traffic shifting namely to minimize disruption during the cutover to your new environment.
What are the six R's?
Rehost, refactor, revise, rebuild, replace, or retire. Each application is evaluated against all six to determine whether it needs a quick lift and shift or a complete refactor.
What happens during the Assess phase?
We evaluate each application against the 6 R's strategy to determine whether it needs a quick lift and shift or a complete refactor.
What happens during the Modernize and migrate phase?
We refactor monolithic applications into microservices, serverless, or containerized architectures, and migrate databases to managed services like AWS RDS, Aurora, DynamoDB, Azure SQL Database, or Cosmos DB.
What happens during the Test and cut over phase?
We use wide-ranging testing environments, blue green deployments, and gradual traffic shifting so cutover happens without disrupting the business.
Do you work with monolithic applications on legacy stacks?
Yes. We regularly migrate monolithic applications built on Java, .NET, PHP, or Python that weren't originally built for cloud native environments.
Can our relational or NoSQL databases move without losing data integrity?
Yes. Schema conversion and data migration are handled with data integrity and performance optimization as the standard, migrating to managed services rather than a manual lift.
We don't have an in house Kubernetes skill set. Can you still containerize our applications?
Yes. Containerization and orchestration are part of the modernization work itself, so your team does not need existing Kubernetes expertise before the project starts.
What happens to our legacy integrations after migration?
Legacy integrations become RESTful APIs and GraphQL endpoints with API gateways, authentication, rate limiting, and monitoring built in.
Does performance get addressed after the migration, or only during it?
Both. Caching strategies, database query optimization, auto scaling, and cloud native observability are implemented after the move to keep performance improving, not just at cutover.
Can business critical applications be migrated without downtime?
Blue green deployments and gradual traffic shifting are used specifically so cutover happens for business critical applications without the downtime a direct switch would cause.
How is the right migration path chosen for each application?
The first thing we ask about any application is which of the six R's it actually needs, not whether you're ready to move it yet -- that assessment determines whether it gets a lift and shift or a complete refactor.
