Legacy Application AI Modernization

Refactoring Legacy Monoliths into AI-Enabled Cloud Systems

Q: How does Wraxel modernize legacy applications without business interruption?

We utilize the Strangler Fig pattern to decouple monolithic systems incrementally into cloud microservices. By synchronizing databases via Change Data Capture (CDC), daily business operations continue smoothly while legacy code is modernized.

Q: Can Wraxel add AI features directly into our existing legacy application?

Yes, we build intelligent API middleware layers that wrap around legacy databases and software, enabling conversational search, automated document extraction, and predictive analytics without rebuilding core legacy code.

Q: How do you handle database migration from Oracle/DB2 to modern PostgreSQL or Snowflake?

We execute dual-write and Change Data Capture (CDC) streaming using Debezium and Kafka. This ensures zero data loss, real-time data validation, and instant rollback capability during cutover.

Transform outdated monolithic software into fast, auto-scaling microservices. We automate code refactoring, modernize legacy databases, and embed AI capabilities with zero business disruption.

Schedule Modernization Audit Explore Capabilities

80%+

Tech Debt Reduction

Zero

Downtime Cutover

10x

Faster Deployment Speed

SOC 2 / ISO

Compliance Preserved

Modernization Architecture

Legacy Modernization Framework

Incremental, risk-free engineering workflows designed to break monoliths, modernize databases, and integrate enterprise AI.

Strangler Fig Monolith Decoupling

Safely dismantle legacy monoliths piece by piece. We wrap legacy core engines in modern API gateways and deploy cloud-native microservices without risky "big bang" rewrites.

Incremental domain extraction and microservice isolation
API Gateway routing traffic between legacy and new services
Zero business downtime or service interruption

Legacy Monolith (Java EE / .NET)

API Gateway Traffic Splitter

Modern Kubernetes Microservices

Automated AI-Assisted Code Refactoring

Accelerate technical debt reduction. We leverage custom AI code analysis tooling to refactor obsolete syntax (COBOL, legacy Java, PHP) into clean, tested Go, TypeScript, and Python codebases.

Automated OpenAPI & Swagger documentation generation
Comprehensive unit test suite generation for zero regression
Upgrading outdated UI templates to modern React & Next.js

Obsolete Legacy Source Code

AI Refactoring & Test Engine

Clean Modern TypeScript / Go APIs

Zero-Downtime Database Migration & CDC

Migrate legacy databases (Oracle, IBM DB2, MS SQL Server) to high-performance PostgreSQL, MongoDB, and Snowflake using real-time Change Data Capture (Debezium/Kafka).

Real-time Change Data Capture (CDC) streaming with Debezium
Schema normalization and automated SQL type conversion
Dual-write validation ensuring 100% data parity before cutover

Legacy Oracle / DB2 Database

Debezium CDC Real-Time Stream

Modern Cloud PostgreSQL / Snowflake

Embedding Artificial Intelligence into Legacy Apps

Supercharge legacy enterprise software without rebuilding core business logic. We build intelligent API middleware facades that add conversational search, document OCR, and predictive AI.

RAG vector search over legacy document stores and SQL tables
Automated document parsing & OCR data extraction
Predictive AI analytics overlays embedded directly into legacy UIs

Legacy Core Software Interface

Wraxel AI Middleware & Vector RAG

Automated Intelligence & Search

Engineering Specializations

Core Modernization Services

Comprehensive legacy transformation capabilities engineered to reduce technical debt and accelerate feature delivery.

Monolith to Microservices

Decoupling tightly coupled monolithic systems into cloud-native Kubernetes microservices using proven Strangler Fig patterns.

Strangler Fig Microservices Kubernetes

AI-Assisted Code Refactoring

Refactoring obsolete Java, COBOL, and .NET codebases into clean TypeScript and Go APIs backed by comprehensive test suites.

AI Refactoring TypeScript Go

Database Modernization & CDC

Migrating legacy DB2, Oracle, and MS SQL databases to PostgreSQL and Snowflake with zero-downtime Change Data Capture.

Debezium PostgreSQL Snowflake

Modern UI/UX Frontend Re-Skinning

Upgrading outdated jQuery, JSP, and Silverlight frontend templates to modern, fast, and accessible React and Next.js interfaces.

React Next.js Tailwind/CSS

Legacy API Wrappers & Gateways

Building secure RESTful and GraphQL API facades over legacy enterprise systems, enabling seamless modern app integration.

API Gateway GraphQL REST API

Embedded AI & Automation

Integrating vector RAG search, document OCR, and automated AI agents directly onto existing legacy software workflows.

RAG Search OCR Extraction AI Agents

Enterprise Ecosystem

Modernization Tech Stack

We bridge the gap between legacy source systems and modern cloud-native architectures.

Legacy Source Systems

Java EE & Spring Legacy

COBOL / Mainframe

.NET Framework 4.x

Oracle DB & IBM DB2

Target Microservices

Go (Golang) Microservices

Node.js & TypeScript

Python FastAPI

Kubernetes EKS/GKE

Modern UIs & APIs

React & Next.js

GraphQL & REST APIs

Okta & OAuth 2.0

Tailwind & Modern CSS

Data Sync & AI

Debezium CDC & Kafka

PostgreSQL & Snowflake

Milvus Vector RAG

Prometheus Observability

FEATURED CASE STUDY

Modernizing 15-Year Healthcare Monolith for 5M Patients

Wraxel executed a 4-phase Strangler Fig migration for a leading healthcare platform. We decoupled an on-premise Java monolith into auto-scaling Go microservices with a React frontend and real-time Kafka database sync, cutting response times from 4.5s to under 200ms with zero downtime.

Request Case Study Briefing

82%

Infrastructure Cost Savings

< 200ms

API Response Speed (down from 4.5s)

100%

Zero Downtime During Migration

Structured Execution

Modernization Lifecycle

A risk-free 4-stage engineering roadmap to eliminate technical debt and modernize legacy enterprise software.

Tech Debt Audit

Analyzing legacy dependencies, database schemas, performance bottlenecks, and security gaps.

Strangler Fig Blueprint

Defining microservice boundaries, API gateways, database CDC streaming, and UI component models.

Refactoring & API Facade

Authoring modular microservices, updating databases to PostgreSQL, and re-skinning UIs in React.

Zero-Downtime Cutover

Verifying data parity, shifting DNS traffic gradually, and embedding enterprise AI capabilities.

Got Questions?

Frequently Asked Questions

Everything you need to know about our Legacy Application Modernization services.

We utilize the Strangler Fig pattern to decouple monolithic systems incrementally into cloud microservices. By synchronizing databases via Change Data Capture (CDC), daily business operations continue smoothly while legacy code is modernized.

Total "big bang" rewrites carry huge risks of cost overruns and data loss. The Strangler Fig pattern replaces old functionality feature by feature behind an API Gateway. Once a microservice is live and verified, traffic shifts seamlessly until the legacy monolith is safely retired.

Yes. We build intelligent API middleware layers that wrap around legacy databases and software, enabling conversational search, automated document extraction, and predictive analytics without rebuilding core legacy code.

We execute dual-write and Change Data Capture (CDC) streaming using Debezium and Kafka. This ensures zero data loss, real-time data validation, and instant rollback capability during cutover.

AI Infrastructure

Data Engineering

Enterprise & MLOps

Frontend

Backend

Mobile

CMS

Design

Cloud

E-Commerce

ERP