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DipanshuTechBuilding Digital. Driving Growth.

Software Engineering

Legacy ModernizationOld Code, Modern Stack.

Legacy modernisation for systems that still run the business but cannot keep up — a phased migration to a modern stack with the data preserved, the integration points named, and the cutover planned so the operation does not stop on a weekend.

10+Years Experience
100+Projects Delivered
50+Expert Developers
20+Industries Served

Overview

Modernisation is a journey with the data, not a rewrite

The most expensive modernisation projects are the ones that try to rewrite the system from scratch. The rewrite takes twice as long as estimated, the data migration is harder than the rewrite, and the cutover has to happen on a weekend that everyone dreads. The system that comes out the other end is rarely what the users asked for.

We do modernisations differently. A short discovery to map the data, the integration points and the riskiest parts of the system. A phased migration that swaps one piece at a time, with the old system running alongside the new until each piece is trusted. The data is preserved, the integration points are named, and the cutover is staged, not a single weekend.

This is the wrong engagement if the legacy system is small enough to be replaced by an off-the-shelf product. We will say so on the call, because the cheapest modernisation is the one where you do not have to modernise.

  • No Big Bang — A phased migration, not a single weekend cutover, with the data preserved.
  • Risk Managed — The riskiest parts of the system are migrated first, when the team has the most attention.
  • Data Preserved — A written migration plan with test cuts, parallel runs and a recovery path.
  • Modern by Pieces — The system becomes modern a piece at a time, without a freeze on new features.

What we deliver

Everything included in our legacy modernization

Legacy Audit & Roadmap

A written assessment of the system, the data and the migration path.

Phased Migration

Swap one module at a time, with the old system running alongside the new.

Data Migration

A written migration plan with named owners, test cuts and a parallel run.

API Wrapping

A modern API in front of the legacy system, so new code can be modern without a rewrite.

Frontend Modernisation

A new front end on top of the legacy backend, with the data preserved.

Cutover & Hypercare

A staged cutover with a named on-call rotation and a hypercare period.

Our process

A proven process for successful delivery

  1. 01

    Discover

    We audit the system, the data, the integrations and the riskiest parts.

  2. 02

    Plan & Design

    We write the migration plan, the data plan and the cutover plan on paper.

  3. 03

    Develop

    We build the new pieces, with the legacy system still running in parallel.

  4. 04

    Deploy

    We cut over module by module, with a named on-call and the rollback path tested.

  5. 05

    Optimize & Grow

    We decommission the legacy pieces in their own time, after the new is trusted.

Technology

Built with a stack that stays maintainable

Modern Backend

  • Laravel
  • Node.js
  • Python
  • Go

Modern Frontend

  • Next.js
  • React
  • TypeScript
  • Tailwind CSS

Database

  • PostgreSQL
  • MySQL
  • Redis

Migration

  • AWS DMS
  • Stitch
  • Custom ETL

What you can expect

Per Migration Phase
4-12 wksPer Migration Phase
Data Preserved
100%Data Preserved
Big-Bang Weekend Cutovers
ZeroBig-Bang Weekend Cutovers
Faster Feature Delivery Post-Modernisation
2-3xFaster Feature Delivery Post-Modernisation

FAQs

Questions we get asked

Something not covered here? Ask us directly.

The riskiest part of the system is the first candidate, because that is where the legacy technology is most likely to fail. The second candidate is the part of the system that is blocking new features. The migration is sequenced against risk and value, not against a wishlist.

A written data migration plan with named owners, a test cut with a small subset of records, a parallel run for at least one full business cycle, and a recovery path that does not require restoring the legacy system. The old system is decommissioned in its own time, after the new one is trusted in production.

We wrap it. A modern API in front of the legacy system lets new code call the old system as if it were modern, and gives us the seam to migrate the underlying module without changing the consumer. When the module is migrated, the wrapper is updated or removed in its own time.

Usually. The infrastructure cost of a modern stack on managed services is often lower than the cost of running the legacy infrastructure, and the maintenance cost drops because the new system is on supported runtimes. The exact saving depends on the legacy system and the chosen target stack, and we will say so on the audit.

Ready to start your legacy modernization project?Let’s scope it together.

Tell us the outcome you need. We’ll come back with an approach, a timeline and a written estimate.