Legacy Modernization
Strangler-fig, not big-bang. We modernize incrementally so you keep shipping revenue while we rebuild the foundation, rewrite what matters and keep the rest.
Risk-managed modernization that doesn't stop the business.
We've rebuilt 40+ legacy systems without a single failed cutover. The reason: we never ask a business to stop operating while we modernize. Every migration is incremental, reversible, and tested in parallel.
The biggest risk in modernization is political, not technical. We've seen what happens when a 'big-bang rewrite' stalls for 18 months and loses executive confidence. Our incremental model produces visible results every quarter.
- Monolith decomposition
- Strangler-fig migration
- Database migration
- API layer extraction
- Lift-and-optimize migrations
- Container orchestration
- Serverless where appropriate
- Multi-cloud strategy
- Codebase health audit
- Test coverage remediation
- Dependency modernization
- Performance profiling
How we can help
Strangler-fig, not big-bang.
We extract domains from the monolith one seam at a time, behind an API layer that keeps the old system serving revenue while the new one takes over. No rewrite cliffs, no frozen backlogs.
- Monolith decomposition
- Strangler-fig migration
- Database migration
- API layer extraction
National insurer
A 14-year-old policy monolith extracted into 9 domain services with zero production incidents.
Measured extraction, no big-bang risk.
Assessment
Weeks 1–2. Full codebase and infrastructure audit. We map dependencies, quantify risk, and produce a sequenced extraction plan.
Extraction
Weeks 3 onward. Incremental strangler-fig extraction. New components run in parallel with legacy until validated, then traffic shifts.
Cutover
Per-component. Each extracted service cutovers independently, so there is no single high-risk day zero. Legacy retires piece by piece.
Frequently asked questions
Do we have to stop the business while you modernise?
No. We use a strangler-fig approach rather than a big-bang rewrite. New components run in parallel with the legacy system until they are validated, then traffic shifts. Modernisation runs beside your feature roadmap, not instead of it.
How do you keep cutovers safe?
Each extracted service cuts over independently, so there is no single high-risk day zero. Cutovers are rehearsed, reversible and scheduled around your release calendar and revenue peaks. We have modernised 40+ legacy systems without a failed cutover.
How long does a modernisation take?
The first modernised component is typically in production within 12 weeks. Full legacy retirement averages about 18 months, because each piece is retired as its replacement is proven. You see visible results every quarter.
What happens in the first two weeks?
A full codebase and infrastructure audit. We map dependencies, quantify risk and produce a sequenced extraction plan. For technical debt, that audit puts numbers on coverage, dependencies and hot spots, so every sprint of clearance work has a measurable before and after.
Do you only move systems to the cloud?
No. Cloud modernisation is one of three areas, alongside application modernisation and technical debt clearance. We choose containers, serverless or multi-cloud based on your workload profile and risk, not vendor preference. Clients see an average 60% reduction in infrastructure cost after modernisation.
Enouvo IT Solutions | AI-enabled software engineering partner
Enouvo, a Skyform company, is an agile AI-enabled software engineering company that builds and modernizes enterprise software from its office in Singapore and innovation center in Da Nang, Vietnam. Our engineers help clients in Australia, Singapore, Europe, and Vietnam prepare and optimize AI adoption by providing legacy modernization, data platforms, custom AI solutions, and cost frameworks. Our delivery model is security-first: controls are built into engineering from the start, not added before launch. Every AI engagement runs on a three-layer governance model: client-approved AI usage policy, a standardized and guardrailed agentic delivery process, and a centralized AI gateway with full traceability.