Legacy Application Modernization Company.
Without the Downtime.
Your legacy system is charging you by the hour. Every developer hour spent on workarounds, every deployment weekend, every feature blocked by technical debt is a cost that compounds. As a legacy application modernization company, we replace legacy applications incrementally using the strangler fig pattern. Your users never notice.
The overhead your team carries every sprint. And what your roadmap looks like after modernization.
Every item on the left column has a dollar amount attached to it. The right column is what your team gets back.
Pain · IT team at legacy server maintenance
Your legacy system is billing your team by the hour. See the running tab.
Adjust your team size, the percentage of developer time consumed by legacy overhead, and your average hourly rate. The counter runs in real time as you read this page.
*Calculation: (developers × overhead% × hourly rate × 40 hours × 52 weeks). Excludes infrastructure, security, recruiting costs. Real cost is higher.
Get A Modernization ProposalMost legacy application modernization projects recoup their cost within 18 months of completion. The ongoing overhead eliminated exceeds the one-time engagement cost by year two. The calculation uses the same numbers above.
Get your scoped proposal and cost comparison →Legacy application modernization consulting in five phases. No dark launch weekends. No user disruption between phase one and phase five.
Scroll horizontally to see the full methodology. Every phase delivers independently. If a phase needs to pause, the previous phase keeps serving production traffic.
Full codebase audit, external dependency inventory, integration surface mapping, security vulnerability scan, and data flow documentation. Every risk is ranked before any build work begins.
Migration roadmap finalized. Adapter layer designed. New architecture repository created and CI/CD pipeline established. The modern environment begins receiving shadow traffic before any real migration starts.
Legacy components are replaced one service boundary at a time. Each new service is deployed and receiving real traffic before the next component migration begins. The legacy system continues to serve anything not yet migrated.
Parallel writes to both legacy and modern databases. Data consistency validation runs continuously. Load tests against production data volumes. No cutover happens until the new database has been proven under real production conditions.
Legacy system traffic routed to zero after final validation in production. Full documentation: architecture diagrams, runbooks, on-call playbooks, and data model guides. 90-day hypercare support period. Code and IP transfer to your team.
The strangler fig pattern: how traffic migrates from legacy to modern without disrupting users
Click any layer to see what lives inside it, what it is responsible for, and what happens if it fails. The strangler fig allows any layer to be replaced without taking the others offline.
The legacy system continues operating at 100% of production traffic on day one of the engagement. It is never shut down, never put in maintenance mode. Components are extracted one at a time, and the legacy system serves everything that has not yet been migrated. When the migration is complete, traffic drops to zero and the legacy system is decommissioned.
The adapter layer is the "strangler fig" itself. It intercepts every request and routes it to either the legacy system or the modern platform depending on whether that route has been migrated yet. It also handles protocol translation between old and new systems during parallel writes, and provides the rollback mechanism at any point in the migration.
The modern platform begins receiving real production traffic as soon as the first service is migrated. It is not tested in staging and launched into production cold. It runs in production from phase three, accumulating performance data and proving itself under real load before the legacy system's traffic share reaches zero.
Legacy monolith to cloud-native microservices. Zero user disruption across the full migration.
Proof · post-modernization launch milestone
A SaaS and B2B platform with an established user base operating a legacy monolithic application that had accumulated years of tightly-coupled architecture. The system powered core product features and processed real-time user data. Any migration approach that risked user disruption was not viable.
The legacy monolith caused slow release cycles, frequent production outages under load, and tightly-coupled architecture that made independent team deploys impossible. Deployment processes were risky and manual. The system could not scale to meet user growth without significant production incidents.
- Cloud-native microservices on Kubernetes (AWS EKS)
- CI/CD pipeline replacing manual deployment processes
- Zero production user disruptions during full migration
- Containerized services with auto-scaling and self-healing
Three things that separate a real legacy application modernization agency from a very expensive weekend outage.
A big-bang rewrite means shutting down a production system, building a replacement in isolation, and hoping it works when you turn it back on. Most fail, cause outages, or deliver a system that cannot handle real production load. The strangler fig pattern replaces components one service boundary at a time while the legacy system continues to serve production traffic. There is no moment where everything is offline. There is no single cutover that can fail. There is always a rollback.
The modern platform receives real production traffic from the moment the first service is migrated. Not staged traffic. Not synthetic load tests. Real users. This means by the time the legacy system's traffic share reaches zero, the modern platform has already been running in production for weeks or months. It has proven itself at production scale, under real data, with real failure modes surfaced and resolved. The cutover is not a risk event. It is the formalization of something that is already working.
Enterprise software servicesNo licensing. No proprietary tooling your team cannot read or extend. No ongoing dependency on us to make changes. The code ships with architecture documentation, runbooks, on-call playbooks, and a data model guide that any engineer you hire can use to understand the system without calling us. The 90-day hypercare period is a support window, not a vendor lock-in mechanism. After it ends, your team runs the platform independently. That is the outcome we are optimizing for.
Custom software developmentWhat CTOs and engineering leads ask before engaging.
How long does legacy application modernization take?
Legacy application modernization typically runs 16 to 28 weeks depending on system complexity, integration surface, and migration approach. Every engagement starts with a two to three week technical audit that maps the full system before any build work begins. The audit produces a risk-ranked migration plan with a phase-by-phase timeline. For more complex systems or larger codebases, phased programs may run 12 to 18 months across multiple increments.
Do we need to shut down the legacy system during modernization?
No. The strangler fig pattern allows the modern platform to replace legacy components incrementally while the legacy system continues to serve production traffic. Your users never experience downtime. The legacy system is decommissioned only after the modern platform has proven itself in production, not before. See our cloud-native development services for the architecture that makes this possible.
What happens to existing data during the migration?
Data migration is planned in the architecture phase before any code is written. We design the data pipeline alongside the new system schema, run parallel writes to both systems during the transition period, validate data consistency at every phase, and only cut over once the new database has been proven against production data volumes. Data migration is never a big-bang event. It is a continuous, validated process.
How do you handle existing integrations and third-party systems?
Every integration is mapped in the technical audit and connected through an adapter layer in the new architecture. The adapter layer allows the modern system to communicate with legacy integrations during the transition period. Each integration is migrated independently so a delay in one never blocks the broader project. Third-party integrations that are deprecated are documented and their replacement planned before migration begins.
What does legacy application modernization pricing look like?
Legacy application modernization typically runs between $120,000 and $500,000 depending on system complexity, codebase age, integration surface, and migration strategy. We scope before we quote. Every proposal includes a line-by-line breakdown with phase-by-phase pricing and clear scope boundaries. The technical audit deliverable (weeks 1 to 3) is priced separately and produces the migration plan that informs the full engagement price. See our pricing guide.
We are direct about fit before any commitment.
Not sure? Tell us about your system and we will tell you honestly whether modernization makes sense right now.
Hire legacy application modernization experts. Tell us about your legacy system.
We review every brief and respond within two business days. No commitment. No pitch.
We will review your system and send a scoped proposal within 3 business days.
