Services / Modernization
Software Modernization
We replace and rebuild systems that have become expensive to maintain and impossible to extend. Staged migrations, tested before they cut over, with the business running throughout.
Systems we have modernized
Delivered replacements rather than capability claims. The case studies carry the details.
- Property and building management
- Veterinary practice management
- Port logistics and cartage
- Contact and record data across systems
Technology
What we migrate from, and what we migrate to
Legacy work is specific. These are the stacks we actually find in production and the ones we move them onto.
Legacy stacks we work in
- .NET Framework
- ASP.NET Web Forms
- WinForms
- Classic ASP.NET MVC
- jQuery
- Knockout
- Backbone
- On-premise SQL Server
Target stacks
- .NET
- C#
- Python
- React
- Angular
- TypeScript
- Node.js
Migration patterns
- Incremental replacement
- Parallel run
- Branch by abstraction
- Phased cutover
- Schema evolution
Infrastructure moves
- AWS
- Microsoft Azure
- Docker
- Kubernetes
- Serverless
- Infrastructure as code
A system becomes a modernization candidate long before anyone calls it one. Small changes start taking weeks. The person who understood the original design has left. The system runs, but nobody wants to touch it, so the business plans around its limits instead of the other way around. Three of the projects in our case studies began there, including a property management platform, a veterinary practice system, and four port facilities held together by legacy software, spreadsheets, and phone calls.
Our approach is deliberately unglamorous. We audit the system to separate real risk from apparent age, put test coverage and monitoring in place before changing anything significant, then replace one module at a time and confirm the behavior matches before moving on. Old and new run in parallel where the risk warrants it. The business keeps operating throughout, because a migration that requires the operation to stop is usually a migration that gets postponed indefinitely.
The end state is a system your team can own, with documentation, tests, and the delivery pipeline included, not just newer code. That is the difference between modernization and a rewrite that becomes next decade's legacy problem.
What software modernization is actually worth
Features stop taking months
Removing the fragile, undocumented code that makes every small change risky, so the system can keep up with the business again.
The business keeps running
Staged replacement with old and new running in parallel where the risk warrants it, rather than a rewrite that lands all at once.
Lower cost to keep alive
Replacing bespoke legacy frameworks with maintained equivalents you can hire for, which cuts both maintenance effort and dependence on whoever wrote the original.
Security debt cleared
Closing the vulnerabilities that accumulate in aging systems, including unpatched dependencies, outdated runtimes, and access controls that no longer match how the business operates.
Performance people notice
Modern runtimes, better data access, and appropriate caching, which usually shows up as pages that load in a second instead of ten.
How we modernize legacy systems
- 1
Discovery and Technical Audit
Understanding the system before touching it.
Codebase Analysis
Mapping architecture, dependencies, and hotspots, and separating what is genuinely risky from what merely looks old.
Dependency Audit
Cataloguing every library and service the system relies on, with current security exposure and maintenance status.
Business Risk Assessment
Establishing which components are business-critical and how much downtime, if any, each one can tolerate.
- 2
Modernization Strategy
Choosing the approach that fits the risk.
Migration Pattern
Incremental replacement, parallel run, or phased rebuild, selected against your risk tolerance rather than by default.
Target Architecture
Defining the end state, including frameworks, data stores, and deployment model, before the first change is made.
Sequencing Plan
Ordering the work so each stage delivers something and reduces risk, instead of value arriving only at the end.
- 3
Phased Execution
Something working at the end of every stage.
Foundations First
Test coverage, delivery pipeline, and monitoring established before significant changes, so regressions surface immediately.
Incremental Replacement
Replacing modules one at a time and confirming behavior matches before moving on.
Data Migration
Schema changes made backward-compatible, with data integrity validated at every step.
- 4
Validation and Handover
Finished means tested, documented, and yours.
Regression Testing
Test suites that demonstrate the modernized system behaves as the old one did, except where we agreed it should improve.
Performance Benchmarking
Before and after comparison across load, response time, and error rates.
Knowledge Transfer
Documentation and training so your team can own and extend the system independently.
Why RothTech
Legacy work gets postponed because a rewrite sounds like a year of risk with nothing to show. We do it in stages instead, establishing tests and monitoring first so problems appear immediately, replacing one module at a time, and keeping the operation running throughout. Several systems in our case studies were exactly this, including a property management platform and a veterinary practice system, both replacing software the business had outgrown.
Frequently Asked Questions
Scoped and quoted before you commit. The honest comparison is against what the current system already costs you, including maintenance, the features you cannot ship, the workarounds your staff run daily, and the risk of an outage nobody can fix quickly. We put a number on the project, and where keeping the existing system is genuinely the better economics for now, we say so.
We keep whatever earns its place. The audit separates code that is genuinely risky from code that is simply old and working, and old and working is often left alone. Full rewrites are the exception, since replacing module by module carries far less risk and delivers value along the way.
It migrates with validation at every step. Schema changes are made backward-compatible where possible, migrations are checksummed and reversible, and integrity is verified before each stage completes. Data is usually the part of a legacy system worth the most and the part least safe to improvise with.
Yes, and that requirement shapes the plan. Modules move one at a time, old and new run in parallel where the risk justifies it, and each stage has a rollback. Cutovers are scheduled around your operation rather than the other way around.
A permanent senior engineering team in Osijek, Croatia. Legacy work depends on the accumulated context of people who have read the old code, which is why the team that modernizes your system is the one still available when you want it extended.
Related Case Studies
Cloud Veterinary Practice Management Platform
A cloud practice management platform for veterinary clinics covering patient records, scheduling and online booking, prescriptions, multi-location inventory, and invoicing, with the imaging and distributor integrations clinics run on.
Property & Building Management Platform
A property management platform running more than 24,000 residential and commercial units, rebuilt from the legacy system it outgrew, with an AI tenant assistant handling the enquiries that used to fill a manager's day.
Transport Management System for Port Logistics & Cartage
A custom transport management system for port cartage and warehousing, deployed across four major sea ports: container tracking, vessel schedule integration, and automated billing on one platform.