Engagement

Modernization Engine — legacy to modern stack

Strangler-pattern migration from legacy architecture to a modern, maintainable stack.

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12–24
week delivery
6
core deliverables
0
downtime events
Next.jsTypeScriptPostgresTerraformKubernetesGitHub Actions
Average migration completion without production incidents: 94%.
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What's included

Legacy audit & decomposition
Map the existing system's domains, data flows, and coupling points. Identify the safest extraction order.
Strangler fig extraction
Extract bounded contexts one at a time, routing traffic to new services while the legacy system stays live.
Data migration
Zero-downtime data migrations with dual-write phases, shadow mode testing, and automatic rollback triggers.
Test coverage
End-to-end test suite written against the legacy system first, then used to verify behavioral parity in the new stack.
Performance validation
Load testing at each extraction phase to confirm the new service handles production traffic before cutover.

How we work

Week 1–2
Legacy audit
Full system inventory, domain mapping, data model documentation, and extraction sequence plan.
Week 3–8
Extraction sprints
Bounded context extractions, one per sprint, with traffic routing, dual-write data migration, and end-to-end tests.
Week 9–20
Core migration
High-complexity domain migrations, database consolidation, and legacy traffic cutover — phased with rollback gates.
Week 21–24
Legacy decommission
Final traffic cutover, legacy system shutdown, infrastructure cleanup, and team documentation handover.

Best practices for Modernization Engine

  • Write end-to-end tests against the legacy system first

    These tests are both your safety net and your behavioral specification. Without them, you have no objective way to confirm the new system is correct.

  • Extract the most stable, least-coupled domain first

    It builds team confidence, surfaces migration patterns early, and avoids learning the hard lessons on your most complex domain.

  • Run old and new systems in parallel until you're certain

    Dual-write with change data capture keeps both systems in sync. Cutting over before validation is complete is the most common cause of rollbacks.

  • Never attempt to freeze legacy development

    The strangler pattern is designed to absorb ongoing feature work. Attempting a freeze always fails and creates the big-bang rewrite risk you're trying to avoid.

Evolve Edge team

From Evolve Edge

“Production-ready means your auditors, your ops team, and your on-call engineers all agree the system is sound. We build for that standard from day one.”

FAQ

How do you handle the database?
We use dual-write with a change data capture (CDC) layer during migration. The old and new databases stay in sync until cutover is complete and validated.
What if we can't freeze the legacy system for changes?
The strangler pattern is designed for this. New feature development continues on the modern stack; we write adapters that keep the legacy system's data consistent.
How long does a typical migration take?
Small monoliths (under 200k LOC): 12 weeks. Medium (200k–1M LOC): 20 weeks. Large enterprise systems: 24+ weeks, scoped in phases.

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contact@evolveedge.co+1 (512) 678-3820