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System Modernization. Legacy code to modern cloud-native, shipped in stages with zero downtime.

System Modernization for orgs running legacy PHP, classic ASP, .NET Framework, monolith Rails, on-prem databases, or 15-year-old internal tools that cost more in workarounds every quarter. Strangler Fig migrations. Zero-downtime database transitions. Containerisation. CI/CD setup. Observability. Shipped in stages with the legacy still running until the new system is proven. USD pricing.

Tell us the legacy stack, the pain points (cost, downtime, security, hiring, vendor lock-in), the target stack if you have one, and the business risk tolerance. Scoped modernization roadmap within 5 business days.

StranglerFIG PATTERN
$18K+MODULE BUILDS
ZeroBIG-BANG
$135K+PROGRAMS

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Trusted Engineering Force

Who we've built for.

How we work

Overview
Three phases from legacy audit to modernized production. We never rewrite-and-replace in one cutover. Always Strangler Fig: new system runs alongside legacy, route by route, until legacy can be retired.
Step 1 — Scope and architecture
Two to four weeks scoping. Legacy audit (codebase metrics, test coverage, dependency age, infrastructure cost, security posture, hiring market for current stack). Pain point quantification (downtime hours, support cost, feature velocity). Target architecture design. Strangler Fig route map. Risk register. Phased migration roadmap with milestones and rollback plans.
Step 2 — Build in sprints
8 to 36 weeks build. Phased delivery. New cloud-native services (containerised, CI/CD-deployed, observable) built route by route. Legacy traffic routed via an API gateway or reverse proxy. Database migrations via dual-write or change-data-capture. Feature parity validated per route before traffic shift. Old routes retired only after the new route runs in production for 30 days clean.
Step 3 — Harden and launch
Less than 1 week per cutover. Each route cuts over independently. Feature flag rollback to legacy in under 60 seconds if needed. After full migration, legacy infrastructure decommissioned. Ongoing retainer for platform engineering, observability, and continued modernisation.

What we deliver. System Modernization

Legacy audit and roadmap

Codebase metrics (LOC, cyclomatic complexity, test coverage, dependency age). Infrastructure cost analysis. Security and compliance gap analysis. Hiring market analysis for the current stack. Pain point quantification in dollars (downtime hours, support cost, feature velocity loss). Target architecture. Phased migration roadmap with milestones, costs, risks, and rollback plans.

Target architecture design

Modern cloud-native target: containerised services on AWS ECS or EKS, GCP Cloud Run, Azure Container Apps, or Render. Postgres or MySQL on RDS or Cloud SQL. Redis for caching and queues. Object storage on S3 or GCS. CDN via CloudFront or Cloudflare. CI/CD via GitHub Actions or GitLab CI. Observability via Datadog, Sentry, OpenTelemetry. IaC via Terraform or Pulumi.

Strangler Fig migration framework

API gateway or reverse proxy (NGINX, Kong, Envoy, AWS API Gateway) routing legacy vs new per route. Feature flag system (LaunchDarkly, GrowthBook, Unleash, or custom) for instant rollback. Dual-write or change-data-capture (Debezium, AWS DMS) for database migration without downtime. Route-by-route validation with shadow traffic before cutover.

Database modernisation

Schema redesign where needed. Zero-downtime migration via dual-write or CDC. Backfill strategy with idempotent migration scripts. Performance validation via load testing. Read replica setup. Backup and disaster recovery configured. Old database decommissioned only after 60 to 90 days of clean operation on the new database.

CI/CD, observability, and security

GitHub Actions or GitLab CI pipelines with test, build, scan, and deploy stages. Container vulnerability scanning. Dependency scanning. SAST and DAST. Observability via OpenTelemetry, Datadog, Sentry, or Honeycomb. Centralised logging via CloudWatch, Datadog Logs, or Loki. PagerDuty or Opsgenie integration. SLO and error budget definition.

Platform engineering and team enablement

Internal developer platform documentation. Onboarding runbook for new joiners. Deployment runbook. Incident response runbook. Optional Backstage or custom internal portal. Pair programming sessions with your internal team during migration. Hand-off plan so your team owns the new platform after engagement ends.

Typical engagement ranges

Modernization audit and roadmap

From $18,000

  • Full audit plus target architecture plus phased roadmap plus first modernization module.
  • Best for orgs scoping modernization who need a defensible business case before committing.
  • 4 to 6 weeks for audit and roadmap; first module delivery follows.

Phased modernization program

From $60,000

  • Multi-quarter Strangler Fig migration with route-by-route delivery.
  • Target 30 to 60 percent of legacy retired per quarter.
  • Best for orgs with active legacy systems costing $300k plus per year to maintain.
  • 16 to 36 weeks.

Enterprise transformation

From $135,000

  • Multi-team, multi-product enterprise modernization with platform engineering, internal developer platform, observability stack, security overhaul, and team enablement.
  • Best for orgs with 5 plus legacy systems and 100 plus engineers.
  • 9 to 24 months phased delivery.

Indicative USD ranges. Final quote depends on legacy scope, route count, and compliance requirements. Exact scope and pricing locked on the scoping call. Ongoing platform engineering retainer quoted separately.

FAQ

Strangler Fig is the migration pattern where you build a new system alongside the legacy one, route traffic incrementally to the new system one route or feature at a time, validate, then retire the legacy code only after the new code runs cleanly in production. Coined by Martin Fowler in 2004. We use it on every modernization because it lets you de-risk the migration: any route can roll back to legacy in under 60 seconds via a feature flag. Big-bang rewrites have a documented failure rate above 50 percent. Strangler Fig migrations are below 10 percent because risk is decomposed.

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