Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Product Engineering

Modernize Legacy Systems Without Disrupting Your Business

We migrate legacy monolith databases, upgrade old PHP/jQuery frontends to React, and set up secure cloud server deployments.

60%
LESS TECH DEBT
FASTER DEPLOYS
0
DOWNTIME MIGRATIONS

— Modernization Services

Legacy Application Upgrades

We rewrite old codebase routes, migrate database schemas, and deploy updated backend API servers.

Codebase & Dependency Audit

We analyze your codebase, map package dependencies, and write a step-by-step upgrade plan.

Server Route Deconstruction

We split large backend code bases into separate API servers, shifting traffic incrementally.

React & Frontend Migrations

We rewrite legacy jQuery and PHP HTML templates into fast, component-based React views.

Database Schema Upgrades

We write data migration scripts, convert database types, and safely transfer tables.

API Version Upgrades

We write backend routing layers to handle new API structures without breaking older integrations.

Docker & Server Automation

We package your app into Docker containers and configure automated test pipelines.

Our Migration Methodology

Our Migration Process

1

Codebase & Dependency Audit

We audit package dependencies, profile database query speeds, and map current server routes.

Audit Report & Roadmap
Weeks 1–2
2

Architecture & Database Design

We design new database tables, draft the upgraded API endpoints, and map the transition steps.

Database Schema Diagrams
Weeks 2–3
3

Frontend & API Implementation

We code React components, rewrite API controllers, and run automated script comparisons on data output.

Functional Upgraded App
Weeks 3–12
4

Live Server Switch & Alerts

We switch domain traffic to new cloud servers, set up error alerts, and decommission legacy instances.

Production Monitored System
Weeks 12–14

What We Migrate To

Modern stacks, cloud-native architecture, and battle-tested tooling.

React
Next.js
Vue.js
Angular
TypeScript
Svelte
Tailwind CSS
Vite
React
Next.js
Vue.js
Angular
TypeScript
Svelte
Tailwind CSS
Vite
.NET Core
Spring Boot
Node.js
FastAPI
Go
NestJS
gRPC
GraphQL
.NET Core
Spring Boot
Node.js
FastAPI
Go
NestJS
gRPC
GraphQL
PostgreSQL
MongoDB
Redis
Kafka
Elasticsearch
ClickHouse
DynamoDB
Cassandra
PostgreSQL
MongoDB
Redis
Kafka
Elasticsearch
ClickHouse
DynamoDB
Cassandra
Kubernetes
Docker
Terraform
ArgoCD
Helm
AWS
GCP
Azure
Kubernetes
Docker
Terraform
ArgoCD
Helm
AWS
GCP
Azure

FAQs

Questions About Application Modernization

Answers to the questions every engineering leader asks before committing to a migration.

We use the strangler-fig pattern — new services are built alongside the legacy system, not instead of it. Traffic is shifted incrementally as each service is validated. The old system handles all requests until we are confident the new one is ready. We have never caused a production outage during a migration.
Almost always incrementally. Full rewrites are 3× more expensive, 2× as likely to be abandoned mid-project, and carry the risk of shipping a new system with the same architectural problems as the old one. Incremental migration lets you validate each piece before moving on.
A focused API or frontend modernization takes 6–10 weeks. A full monolith-to-microservices migration typically takes 12–20 weeks depending on codebase size and complexity. We scope precisely after the audit.
Yes — this is the whole point. We work on a separate branch or parallel service, and our changes do not block your team. We coordinate integration points carefully so both workstreams can proceed in parallel.
Every migration step has a documented rollback procedure before we execute it. We maintain the legacy code path until each new service has been in production for a defined validation period. Rolling back is a deliberate, tested option — not a panic measure.
We run data migrations with dual-write phases — writing to both old and new systems simultaneously — then validate consistency before switching reads to the new system. Historical data is migrated in batches with checksums to verify completeness.
Yes. We document every architectural decision, write comprehensive README files, record walkthrough videos, and run knowledge transfer sessions with your engineers. The goal is a system your team owns and understands, not one that only we can maintain.
Incremental modernization typically costs 40–60% of a full rewrite and carries a fraction of the risk. The audit phase alone often identifies quick wins that pay for the entire engagement in performance improvements or reduced hosting costs.
FAQ illustration

Ready to Upgrade Your Legacy Application?

Schedule a scoping call with a developer to discuss codebase audits, database structure, and server migration.