Engineering service

Legacy Application Modernization

Modernize critical software without unnecessary operational risk through assessment, stabilization, refactoring, re-platforming, and incremental replacement.

Who this is for

Built around a clear operating need

Teams responsible for valuable systems constrained by aging technology or fragile delivery practices.

Common problems addressed

  • Unsupported frameworks and runtimes
  • Fragile deployments and limited tests
  • Monolithic architecture
  • Database bottlenecks
  • Poor observability
  • Slow release cycles

What the engagement delivers

  • System and dependency assessment
  • Risk-ranked modernization roadmap
  • Incrementally modernized services
  • Deployment, observability, and rollback practices

Technical capabilities

  • Java and Spring Boot modernization
  • Monolith decomposition
  • API modernization
  • Database migration
  • Containerization
  • CI/CD
  • Strangler-pattern migration

Delivery approach

Architecture connected to delivery

We stabilize what must keep running, identify seams for safe change, and replace or re-platform components in stages instead of assuming a full rewrite is justified.

Engagements can begin with a focused assessment, continue as a defined project, or support an internal team through technical advisory and delivery oversight.

Relevant work

Related case studies

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Service questions

Frequently asked questions

Who is legacy application modernization for?

Teams responsible for valuable systems constrained by aging technology or fragile delivery practices.

What does a legacy application modernization engagement deliver?

Typical outputs include system and dependency assessment, risk-ranked modernization roadmap, incrementally modernized services, deployment, observability, and rollback practices. The final scope follows the system constraints and intended outcome.

Engagement models

Focused assessment, project delivery, or advisory

We scope the model around the decision or outcome required. Budget and timeline are discussed after the system context, constraints, and responsibilities are clear.

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