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Software · Modernization Engineering

Re-platform legacy systems, slice by slice.

Java 8 → 21. .NET monolith → React + microservices. On-prem → AWS / GCP / Azure. No big-bang rewrite. No frozen feature roadmap. Strangler-fig migration with zero downtime - your team keeps shipping while we modernise.

  • Monolith → Microservices, strangler-fig pattern
  • .NET / Java / PHP / jQuery → React + Node + TypeScript
  • On-prem → AWS / GCP / Azure (lift-and-shift OR replatform)
  • You own the code, day one - repo + infra transferred
Modernization timeline · BFSI client
12yr
Legacy age
42
Modules cut over
0
Downtime hrs
100%
Audit retained
⚙️
Slice 1 · Auth moduleStrangler routed · 2 weeks
Done
⚙️
Slice 2 · ReportingReact UI + Node API · live
Done
⚙️
Slice 3 · Core ledgerIn progress · 4 weeks
Active
Why slice-by-slice

Big-bang rewrites kill businesses.

Strangler-fig pattern

Wrap legacy app behind a router. Cut each module over to modern stack one at a time. Old + new run side-by-side until done.

Zero downtime

Production users see no change during cutover. We use feature flags + DB replication + canary rollouts. Old stack stays warm as fallback.

Roadmap stays live

Your team keeps shipping features on the legacy app. We modernise underneath. No "code freeze for 6 months." Business continues.

Six modernization patterns we ship

What gets re-platformed, and how.

Monolith → Microservices

Domain-driven decomposition. One bounded context at a time. Async events via Kafka / RabbitMQ.

.NET → React + Node

WebForms / WPF / Razor → React + Node + TypeScript. SQL Server data layer preserved.

Java upgrade

Java 8 → 21 (LTS jump). Spring Boot major-version migration. Dependency CVE clean-up included.

On-prem → Cloud

AWS / GCP / Azure. Lift-and-shift first, then refactor for cloud-native (managed DB, S3, IAM, secrets).

jQuery → Next.js

Server-rendered React replaces jQuery + spaghetti DOM. SEO + performance + maintainability fixed in one shot.

PHP → Node

Legacy PHP (CodeIgniter / CakePHP) → Node + TypeScript + Express / NestJS. Same MySQL keeps working.

Real engagement

What you get in the first 4 weeks.

Most modernisation projects fail because the team can't articulate "what's done after week 4." Ours can.

  • Week 1: Architecture audit + strangler routing plan
  • Week 2: First slice scoped + CI/CD pipeline + observability baseline
  • Week 3: First slice live in production behind feature flag
  • Week 4: Canary rollout · 5% → 50% → 100% traffic to new slice
Modernization · slice rollout
F
Feature flag · auth_v250% traffic · 0.2% error rate
Canary
M
p95 latency-38% vs legacy
Better
L
Legacy fallbackWarm · 50% traffic still on it
FAQ

Things teams ask before signing.

How long does a typical modernisation take?
3–9 months depending on system size. We scope the first 4 weeks in detail, give a phased plan for the rest. Fixed-bid per slice. You see real working code every 2 weeks.
Can we keep shipping new features during migration?
Yes - that's the whole point of strangler-fig. Your team keeps releasing on the legacy app. We modernise underneath. Old + new coexist until cutover is complete.
What about our data?
Data layer typically stays intact. We add an abstraction layer (repository / ORM) so new stack reads the same database. Schema migrations happen incrementally, behind feature flags.
Compliance / audit?
RBI · SEBI · IRDAI · GDPR - all audit trails preserved end-to-end. We've shipped for regulated entities in BFSI and insurance.
Send us your current stack

Tell us what's legacy. We'll send a real plan.

BFSI, manufacturing and EdTech teams in India + Romania have re-platformed legacy systems with us. Send your tech stack + roadmap - we'll come back with a slice-by-slice plan, fixed quote per slice, and the engineer who'll lead it.