Move Off Aging Tech Without Breaking What Already Works.
We incrementally migrate your legacy codebase to modern, supportable stacks with zero data loss and near-zero downtime.
Legacy systems keep the lights on, but they quietly drag your business down. Finding developers who know outdated frameworks is getting impossible, security vulnerabilities are compiling, and building new features feels like wading through mud. Yet, a reckless 'ground-up rewrite' risks breaking everything your business relies on.
Our Clients
Service Offer Description
Move off old systems without breaking what already works.
Node.js AWS Database Migration Service Docker Next.js API Gateways +more
We migrate legacy codebases to modern stacks with zero downtime where possible. We do it in stages. We test at every step. We write the handover docs. We do not disappear after go-live.
Migration Process
We hate unnecessary complexity just as much as you do. Here is our straightforward process
Risk Assessment
We map out your current system dependencies, data structures, and edge cases to ensure nothing gets dropped.
Parallel Architecture
We spin up a modern foundation that runs safely alongside your old app, connecting smoothly to the same data sources.
Phased Migration
We move features over piece by piece using the Strangler Pattern. Users switch over progressively without even realizing it.
Cutover & Cleanup
Once the entire feature set is successfully running on the new stack, we safely decommission the old system.
No. Our phased approach ensures that old and new systems run concurrently. We migrate data in real-time or via micro-batches, avoiding the old-school 'weekend big bang launch' that causes outages.
Small apps can take a few weeks; complex enterprise systems can take several months. We break the project into clear milestones so you see modern parts of your app working live within the first sprint.
Featured projects & Case Studies
Real problems solved. Real results delivered.
We don't just talk about building great backends. Here's proof..
97%
Fintza's checkout setup was dropping 30% of sales due to server timeout errors. We engineered a new payment API with resilient retry patterns and background queues, pushing transaction success up to 97%.
60%
Patient profiles were scattered across three different internal software silos, slowing down daily operations. We built a single data access gateway that unifies records onto one screen in under two seconds.
5000+
Plurial's old school database routinely crashed under heavy load during student registration weeks. We built an event-driven registration engine that processed 5,000 sign-ups with zero lag.