Legacy modernization

Modernize legacy applications and ERPs. From code to cloud.

We re-engineer business-critical systems built on ageing frameworks, databases and servers into secure, API-first, cloud-ready platforms on Java, Spring Boot, Node.js, NestJS, React, Angular or Vue. We work module by module, and your existing system keeps running in parallel until every module is live.

See the ERP case study
01Any legacy stack02Zero business disruption03Cloud, API & AI-ready
LEGACY SYSTEMLegacy frameworksStruts · JSF · J2EEDated UIJSP · jQuery · AngularJSMonolithic databaseHard-wired SQLOn-premise serversManual deploymentsEnd-of-life · No patches18PATTERNSMIGRATION ENGINEMODERN STACKReactAngularVueAPI GatewayREST · OAuth 2.0Service layerSpring Boot · Node · NestJSData layerPostgreSQL · Oracle · MySQLAWSAzureGCPCI/CDCloud-native · Supported5tracksone proven method0disruptionlegacy runs in parallel
From our flagship enterprise ERP modernization
200+ERP modules migrated
10+Business divisions modernized
82%Reduction in code complexity
0Business disruption
Built for the enterprise

Your systems run the business. Modernizing them shouldn't stop it.

ERPs and core business applications carry decades of rules for finance, distribution, manufacturing, HR and dealer networks. A big-bang rewrite puts all of that at risk. We modernize the code, UI, database and infrastructure underneath your business logic one module at a time, so every phase delivers value and no team has to stop working.

Who we partner with: CIOs, CTOs and application owners of multi-division enterprises, manufacturers, distributors and conglomerates.

01

Any stack in

Struts, JSF, J2EE, JSP, AngularJS, legacy databases, on-premise servers

02

Modern stack out

Spring Boot, Node.js, NestJS, React, Angular, Vue, the right database, the cloud

03

One proven method

Module-wise migration with the legacy system running in parallel

Modernization tracks

Five tracks, from code to cloud. Pick one or combine them.

Most programmes combine several tracks: a new back end, a new UI, a database move and a cloud landing. All of them follow the same zero-disruption method.

Application & back end

We move business logic off end-of-life frameworks onto supported, layered back ends, and keep the rules your business depends on.

FromApache Struts 1.x / 2.xJSF, J2EE & EJBServlet / JSP appsXML-configured SpringMonolithic codebases
ToJava 17 / 21 LTSSpring Boot & Spring MVCNode.jsNestJSREST APIs
  • Business logic extracted into a clean service layer
  • Existing URL and API contracts preserved
  • Unit and integration tests made possible
Proven on a 200+ module enterprise ERP (Struts → Spring Boot 3.5)
Signs it's time

Six signs your legacy systems are holding the enterprise back.

Maintenance complexity

Huge classes mix business logic, data access and UI code, so every fix is slow and isolating a defect becomes guesswork.

Shrinking talent pool

Engineers who know legacy frameworks are hard to hire, and new hires need months before they can safely ship a change.

Release bottlenecks

A small change in one module forces a full redeployment that touches every team and every user at once.

Scalability ceiling

Fixed on-premise capacity and session-heavy design stop you from scaling the modules that need it.

Security exposure

End-of-life frameworks, databases and servers receive no patches, leaving the enterprise open to known CVEs.

Integration barrier

No APIs means no clean path to e-commerce, mobile apps, partner portals, analytics or AI services.

Modernization paths

The right path for every module, not one answer for the whole system.

We assess each module on business criticality, technical debt and integration needs, then pick the approach that gives the best return. Most enterprise programmes combine these approaches.

Low risk

Refactor

Restructure code on a supported foundation without changing what the system does. This removes technical debt and restores vendor patching.

Best whenFunctionality is sound, but the code base is fragile
Quick win

Re-platform

Move to a modern runtime, database or cloud with targeted changes. This cuts infrastructure cost and operational effort.

Best whenInfrastructure, not the code, is the main constraint
Add value

Extend & integrate

Expose existing capabilities through secure APIs for web, mobile, partners and AI, without touching core transactions.

Best whenNew channels are needed before the full migration finishes
Module-wise incremental migration

Five phases. Value at every step. Zero downtime.

01

Assess & plan

Inventory of code, data, integrations and infrastructure, which produces a module-wise roadmap and business case.

02

Foundation

Target architecture, cloud landing zone, security baseline and CI/CD pipeline put in place.

03

Incremental migration

Modules move one at a time, with the legacy system running in parallel and contracts preserved.

04

Data & cloud cutover

Data migrated and reconciled, performance tested, then each module goes live on the new platform.

05

Decommission & optimize

Legacy retired, costs and performance tuned, and the API surface published.

Legacy runs in parallel throughout

Modules move across one at a time, so users never face a big-bang cutover.

Phased fixed-price delivery available
PhaseLegacy systemModern platform
01 · Assess
Fully live
Planned
02 · Foundation
Fully live
Platform ready
03 · Migrate
Shrinking
Modules going live
04 · Cutover
Read-only fallback
Carrying the load
05 · Decommission
Retired
Sole platform
Data kept in sync while both run
Parallel operationIncremental deliveryURL & API contract preservationRisk containmentDaily business continuity
Architecture, before and after

From a tangled monolith to a layered, cloud-native platform.

API-first · Cloud-native · Secure by design · AI-ready
Web appReact · Angular · VueMobile appiOS · AndroidAI / LLMAgentsPartnersIntegrationsAPI GatewayOAuth 2.0 · Rate limiting · Routing · ObservabilitySERVICE LAYER · SPRING BOOT / NODE.JS / NESTJSFinanceSpring BootSalesSpring BootHR & PayrollNestJSInventorySpring BootIntegrationsNode.jsData access layerORM + native queries · Transactions · Business logic preservedPostgreSQL · Oracle · MySQL · SQL ServerCROSS-CUTTINGSecurityRBAC · OAuthLoggingStructuredMonitoringHealth checksCI/CDAutomatedContainersDocker · K8sAWSAzureGoogle CloudAuto-scalingAI ready
Single monolithic deployment with every module bundledDomain-based modules that evolve and release independently
Business logic buried in UI controllersStrict Controller → Service → Repository layering
Hand-written SQL and manually managed connectionsManaged data access with declarative transactions
Home-grown security with incomplete access controlStandard security with RBAC and OAuth 2.0
Fixed on-premise capacity and manual releasesCloud auto-scaling with automated CI/CD
Little logging and no automated testsStructured logging, monitoring and full test coverage
Featured case study · Enterprise ERP

A 20-year-old, multi-division automotive ERP moved from Struts to Spring Boot 3.5.

A leading automotive enterprise ran its ERP across 10+ business divisions, from automobiles and spares to finance, HRMS and e-commerce. We migrated 200+ modules from Apache Struts to Spring MVC on Spring Boot 3.5 using 18 reusable migration patterns, and every division kept operating throughout.

AutomobilesSpares & PartsAccounts & FinanceHRMSDistributionDealer networke-CommerceServices
200+Modules migrated
10+Business divisions
−82%Average controller size
~20 yrsProduction system age

9 technical migration challenges, solved

Each challenge was handled with a documented, repeatable pattern, which is how we keep certainty at enterprise scale.

01

Action mapping conversion

150+ Struts XML files
Annotation-based Spring MVC controllers
02

DispatchAction decomposition

reqCode dispatch pattern
Clean @GetMapping / @PostMapping methods
03

FormBean migration

Framework-coupled ActionForms
POJOs bound with @ModelAttribute
04

Session state preservation

Multi-step session workflows
Behaviour kept intact during transition
05

Database layer restructuring

Custom JDBC helper classes
JPA EntityManager with native queries
06

Connection management

DatabaseDelegate + JNDI
@Transactional declarative boundaries
07

Suggest-action consolidation

3–5 suggest classes per entity
One @ResponseBody method per controller
08

Multi-division configuration

10+ division filter chains
Spring Boot auto-configuration
09

Transaction integrity

Manual commit() in finance flows
Declarative @Transactional
Case study results

Measurable improvement across every architecture dimension.

MetricBefore (Struts)After (Spring Boot)
Java versionLegacy JDK (pre-17)Java 17 LTS (10yr+ support)
Framework supportStruts 1.x, end-of-lifeSpring Boot 3.5, actively supported
Avg. controller size2,248 lines~400 lines (−82%)
XML configuration160 KB+ across 150+ files0, fully annotation-driven

Future readiness, built into the foundation

Every modernized platform we deliver opens up these capability paths, none of which needs another re-architecture.

API enablement

REST endpoints, mobile back ends and partner portals

Cloud deployment

Docker/Kubernetes-ready, managed databases, auto-scaling

CI/CD automation

Automated testing and blue-green deployments

UI modernization

React, Angular or Vue front ends, PWA, mobile-first

AI & analytics

ML pipelines, demand forecasting, natural-language interfaces

Technology expertise

The modern stack your platform lands on.

We recommend the target stack during the assessment, based on your team, workloads and ecosystem, not on our preference.

Back end

JavaSpringSpring BootNode.jsNestJS

Front end

ReactAngularVue.jsTypeScript

Databases

OraclePostgreSQLMySQLSQL ServerMongoDB

Cloud & DevOps

AWSAzureGoogle CloudDockerKubernetesCI/CD
Why Techno Genesis

Deep enterprise modernization engineering.

5Modernization tracks
18Reusable migration patterns
0Business disruption
CI/CDDeployment ready
Security, RBAC and audit-ready logging included as standard

Proven enterprise delivery

A 20-year-old, multi-division ERP moved to Spring Boot 3.5. This is production work, not a lab exercise.

Module-wise methodology

Legacy and modern systems run side by side, so daily operations continue throughout the transformation.

Full-stack breadth

Java, Spring, Node.js, NestJS, React, Angular and Vue, across multiple databases and all major clouds.

Documented patterns

Every transformation follows a repeatable, reviewed pattern, so risk stays contained as the scope grows.

Business logic preserved

Stored procedures, URL contracts and critical workflows keep working, with nothing re-invented.

Future enablement built in

API, cloud, mobile and AI readiness come with the target architecture, with no second re-architecture.

FAQ

Questions technology leaders ask us.

Can't find what you need? Talk to our team.

Our modernization practice is built for enterprise programmes: ERPs and business-critical, multi-module systems. We partner with CIOs, CTOs and application owners rather than taking on small one-off apps.

We modernize legacy Java (Struts, JSF, J2EE, servlet/JSP, older Spring), dated front ends (JSP, jQuery, AngularJS) and ageing databases and infrastructure. Targets include Java 17/21 with Spring Boot, Node.js and NestJS on the back end; React, Angular or Vue on the front end; your choice of database; and AWS, Azure or Google Cloud.

No. We migrate module by module, with the legacy system running in parallel. Each module switches over only once it has been validated, so day-to-day operations are not interrupted.

Yes. We convert schemas and stored procedures, migrate the data with reconciliation and validation, and cut over in phases with a rollback plan. Where it makes sense, we keep your existing database and modernize the application around it.

Yes. We assess each workload and choose whether to rehost, re-platform or refactor it for AWS, Azure or Google Cloud. That comes with containers, infrastructure as code, CI/CD pipelines and monitoring.

It depends on your team, workload and ecosystem. Java with Spring Boot suits transaction-heavy enterprise back ends and Java-skilled teams. Node.js with NestJS suits I/O-heavy services and teams standardizing on TypeScript. We recommend a stack during the assessment, and the two can coexist.

Our ERP modernization ran in phases over 26–52 weeks, and most enterprise programmes are in that range depending on scope. Value is delivered phase by phase, and phased fixed-price delivery is available.

We start with a discovery and assessment of your application, data, integrations and infrastructure. That produces a module-wise roadmap and business case, so together we can define Phase 1.

Running on end-of-life technology?

Let's define Phase 1 of your modernization together.

Start with an assessment of your application, data and infrastructure. You get a module-wise roadmap, a risk map and a business case your leadership can act on.

Contact our team

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