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Deploint

Capability 07

Modernize the enterprise without losing what works.

We modernize legacy estates incrementally: stable APIs in front of core systems, an integration layer that keeps old and new in sync, and capability moved to modern platforms one slice at a time, while the business keeps running.
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Capability 07

06 stages

Core disciplines

  • Legacy modernization
  • API modernization
  • Cloud migration
  • Data modernization
  • Systems integration
  • Workflow automation

Works alongside

01Services

What we engineer.

Modernization delivered in reversible steps, each one releasing value and reducing risk on its own.
  • 01

    Legacy modernization

    Wrapping, refactoring or replacing legacy systems incrementally, guided by business priority and technical risk rather than a rewrite plan.

  • 02

    Cloud migration

    Workload-by-workload migration to cloud platforms, choosing between rehosting, replatforming and refactoring for each application.

  • 03

    API modernization

    Stable, versioned APIs in front of legacy capabilities, with gateways, authentication and contract tests, so new systems never couple to old internals.

  • 04

    Application modernization

    Decomposing monolithic applications into well-bounded modules or services, modernizing interfaces and adopting automated delivery.

  • 05

    Data modernization

    Moving data from legacy databases and batch extracts to governed platforms, using change data capture to keep both sides in sync during transition.

  • 06

    Infrastructure modernization

    Moving from manually managed servers to infrastructure as code, containers and managed services, with observability and automated recovery.

  • 07

    AI transformation

    Applying AI to modernized workflows once interfaces and data are in place, with evaluation and governance from the first use case.

  • 08

    Workflow automation

    Replacing manual hand-offs, spreadsheets and email-driven processes with orchestrated workflows, integrations and audit trails.

02Modernization path

An incremental path, not a big bang.

Each stage creates a stable foundation for the next, and each can deliver value on its own. Select a stage to see the work involved.

Core platforms that still run the business. We map what they do, who depends on them and where change is costly before deciding what moves.

  • Mainframes
  • Monoliths
  • On-premises databases
  • Batch jobs

03Modernization patterns

Patterns for changing systems that are running.

Modernization is mostly about managing coexistence: old and new running side by side, safely. These are the established patterns that make it possible.

Strangler fig

Strangler fig progression: Intercept, then Extract, then Expand, then Retire. A facade routes traffic between the legacy system and modern services while capability moves one slice at a time.

Phase 01

Intercept

A routing facade is placed in front of the legacy system. All traffic still reaches legacy, but every request now passes a point you control.

01Coexistence

Running old and new side by side.

  • Strangler fig

    Gradually replacing a legacy system by routing specific capabilities to new implementations behind a facade, until the old system can be retired. Each step is small, testable and reversible.

  • Anti-corruption layer

    A translation layer between a new service and a legacy system, so legacy data models and conventions do not leak into the new design. It isolates the modern domain while integration is still required.

  • Branch by abstraction

    Introducing an abstraction in front of a component inside the codebase, building the new implementation behind it and switching over when ready. Large internal replacements proceed without long-lived branches.

02Data

Moving data without stopping the business.

  • Change data capture

    Streaming changes from a legacy database's transaction log to new systems in near real time. Old and new data stores stay consistent during migration without modifying the legacy application.

  • Expand and contract

    Schema changes made in compatible steps: add new structures, dual-write or backfill, migrate readers, then remove the old structures. Both versions of the application can run throughout.

  • Event interception

    Capturing the messages or events a legacy system already produces and routing them to new consumers, so new capability can be built without touching legacy code.

03Verification

Proving the new system is right.

  • Parallel run

    Running legacy and modern implementations side by side on the same inputs and comparing outputs before switching over. Differences are investigated until results match, so cutover is a decision based on evidence.

  • Dark launching

    Deploying new functionality to production and exercising it with real traffic without exposing results to users. Performance and correctness issues surface under real load before release.

  • Flagged cutover

    Switching traffic to the new implementation with runtime flags, by tenant, region or percentage, with immediate rollback if metrics degrade.

04Workload decisions

A decision for every workload.

Not every system should be rewritten. We assess each application and choose the disposition that fits its value, risk and remaining life.
  • 01

    Retain

    Keep the system as it is, for now, and revisit at a defined point.

    FitsStable, low-change systems where modernization would cost more than it returns.

  • 02

    Retire

    Decommission the system after archiving the data that must be kept.

    FitsRedundant or little-used applications discovered during assessment.

  • 03

    Rehost

    Move the application to cloud infrastructure with minimal change.

    FitsTime-bound data-center exits where speed matters more than optimization.

  • 04

    Replatform

    Move with targeted changes, such as a managed database or container runtime.

    FitsApplications that benefit from managed services without a redesign.

  • 05

    Refactor

    Restructure the code for maintainability and modern delivery, without changing behavior.

    FitsValuable systems held back by code structure or tooling.

  • 06

    Rearchitect

    Redesign the application into new components or services, usually incrementally.

    FitsCore systems that must scale, change frequently or integrate widely.

  • 07

    Replace

    Adopt a commercial or SaaS product, and migrate data and integrations to it.

    FitsCommodity capabilities where custom software adds no differentiation.

05Engineering approach

How we modernize.

Principles shaped by one constraint: the business has to keep running while its systems change.
  1. 01

    Understand before changing

    We map the behavior, dependencies and data flows of legacy systems first, including the undocumented ones.

  2. 02

    Small, reversible steps

    Each increment can be released, measured and rolled back on its own. There is no single cutover weekend.

  3. 03

    Value early

    We sequence work so early slices deliver visible business value, not just infrastructure.

  4. 04

    Contracts over coupling

    New systems integrate through APIs and events, never by reading another system's database.

  5. 05

    Evidence-based cutover

    Parallel runs, reconciliation and metrics decide when traffic moves, not the calendar.

  6. 06

    Leave nothing orphaned

    Decommissioning is planned work, so the cost of legacy actually goes away.

06Industries

Where we modernize.

Sectors where core systems are long-lived, deeply integrated and cannot simply be switched off.
All industries

07Concept architectures

Modernization reference architectures.

Illustrative engineering references that show how we approach a problem. They are concept architectures, not descriptions of client engagements.
All case studies

08FAQ

Common questions.

Straight answers on how we approach Enterprise Modernization.
01Why not rewrite the legacy system from scratch?

Big-bang rewrites concentrate risk: long periods without delivered value, undocumented behavior that gets lost, and a single high-stakes cutover. Incremental modernization releases value continuously, keeps the legacy system as a fallback and lets each step be verified before the next.

02How do you modernize a system nobody fully understands?

We start with discovery: code analysis, runtime tracing, data profiling and interviews with the people who operate it. Characterization tests capture current behavior before anything changes, and parallel runs confirm that the new implementation matches.

03Can the business keep running during modernization?

Yes, that is the design goal. Old and new systems coexist behind a facade, data stays synchronized through change data capture, and traffic moves gradually with rollback available at every step.

04Where does AI fit into enterprise modernization?

AI is most effective once workflows have clean interfaces and accessible, governed data, which modernization creates. AI can also assist during modernization, for example in analyzing and documenting legacy code, with engineers reviewing every output.

05How is a modernization program planned?

Around increments rather than a single end date. We assess the estate, choose a disposition for each workload, then sequence slices so that each one delivers value on its own. The plan is re-prioritized as the program learns.

Enterprise Modernization

Have a legacy estate that needs a path forward?

Tell us what runs the business today and what it needs to do next. We'll help you plan a modernization path that keeps it running.

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