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We help businesses escape the trap of ageing software — migrating, refactoring, and rebuilding legacy systems into modern, maintainable platforms without disrupting the operations that depend on them.
Definition
Legacy software modernisation is the process of updating, re-architecting or re-platforming ageing software — from COBOL mainframes and PHP monoliths to on-premise servers and outdated frontends — to run on modern infrastructure, comply with current security standards and integrate with today's cloud services and third-party APIs.
The longer you maintain legacy software, the more expensive it becomes — in licence fees, developer frustration, and opportunities you cannot pursue because the system cannot support them.
Legacy systems don't stay still. Every month they get harder and more expensive to maintain.
Development velocity slows to a crawl as engineers fear touching fragile, undocumented code
Legacy platforms cannot integrate with modern tools, APIs, or data sources your business now depends on
Support and licensing costs for outdated technology compound year-on-year
Security vulnerabilities in unsupported frameworks and libraries create regulatory and reputational risk
Our Approach
We use the strangler fig pattern and phased migration strategies to modernise legacy systems incrementally — keeping the lights on while the new platform is being built.
Technical debt quantification, architecture review, CVE and dependency analysis, OWASP security audit and a prioritised modernisation roadmap with ROI projections — so you know exactly what to fix first and what it will cost if you don't.
Lift-and-shift to full re-architecture depending on your tolerance for disruption — zero-downtime blue/green and canary deployments, IaC (Terraform) infrastructure documentation, cost optimisation and post-migration runbooks for your team.
Schema migration, data cleansing, performance tuning, Oracle and MSSQL to PostgreSQL and MongoDB migration — zero data loss target, phased cutover with parallel-run validation and full rollback plan before the cutover window.
Strangler fig pattern applied iteratively — domain-driven service boundaries, API gateway introduction, independent deployability, per-service CI/CD pipelines and observability from day one, without a big-bang rewrite.
React and Next.js rebuild on existing backend APIs — design system creation, WCAG 2.1 AA accessibility, Core Web Vitals optimisation and no backend replacement required. Ship a modern UI without touching working business logic.
GDPR, HIPAA, SOC 2 and PCI-DSS controls retrofit, OWASP Top 10 remediation, dependency vulnerability remediation, penetration testing and compliance documentation ready for your next audit.
Work
AutoShip International
PHP monolith migrated to Next.js microservices on AWS — page load time reduced by 74%, £180K/year in legacy licence fees eliminated and full GDPR compliance achieved within the 16-week project.
Read case study →SwiftLink Logistics
On-premise dispatch system migrated to cloud-native SaaS using blue/green deployment with zero downtime — uptime improved from 92% to 99.9% and infrastructure cost reduced by 38% in year one.
Read case study →AuctionBridge Group
Legacy jQuery/PHP auction platform rebuilt to real-time React and WebSocket architecture — 20x concurrent user capacity, sub-50ms bid latency from 2–4 seconds and zero-downtime cutover over a single weekend.
Read case study →Enterprise ERP Client
COBOL/Oracle reporting layer replaced with PostgreSQL, Node.js API and React dashboard — report generation reduced from 4 hours to 8 seconds, with full data integrity validated across 14 million rows.
Read case study →Decision Framework
Staying on legacy is a cost decision. It compounds every quarter — in maintenance, compliance exposure and lost developer velocity.
Our Process
We assess your codebase, infrastructure, integrations, and business dependencies to define a realistic modernisation roadmap.
We recommend the right approach — refactor, re-platform, or rebuild — with phased milestones and risk mitigation at every step.
We execute the migration in increments, with the legacy system remaining live until each new component is fully validated.
Final cutover with intensive monitoring, rapid response to issues, and a stabilisation period before we hand over to your team.
Technology
Coverage
NHS legacy systems · Financial services · Insurance · Government
UAE government portals · DIFC systems · Logistics · Real estate
Saudi government · Banking CORE · ZATCA migration · Enterprise ERP
Healthcare EHR · Fintech · Legal · Insurance mainframe modernisation
SAP migration · Manufacturing MES · Insurance legacy · Banking COBOL
Government · Mining tech · HealthTech · Financial services legacy
We use the strangler fig pattern — new functionality is built alongside the existing system, routing traffic progressively as each module is validated. The legacy system stays live until the new platform is fully proven.
A targeted refactor of a specific module can take 4–8 weeks. A full platform rebuild using a phased approach typically takes 6–18 months. We always start with an audit that produces a realistic, risk-adjusted timeline.
This is common. We begin every engagement with a discovery phase that reverse-engineers business logic from the existing codebase, interviews stakeholders, and produces documentation of what the system actually does before modernisation begins.
We have experience modernising systems built on .NET Framework, ASP.NET WebForms, PHP, Java EE, Ruby on Rails, and classic ASP. If your stack is older, we have likely seen it before.
Legacy software modernisation is the process of updating, re-architecting or re-platforming ageing software systems — whether a COBOL mainframe, a PHP monolith, an on-premise server or an outdated frontend — to run on modern infrastructure, comply with current security and regulatory standards, and integrate with today's third-party services. Modernisation can range from a targeted security uplift or database migration to a full rewrite, depending on the system's complexity and the business case.
Cyberbeak uses a phased migration approach: the new system runs in parallel with the legacy system during a validation period, with both reading and writing to a sync layer. Before cutover, we run a reconciliation check comparing row counts, checksums and business-critical fields between legacy and new databases. Cutover itself uses a blue/green or canary deployment pattern, with a tested rollback plan that can be executed in under 30 minutes. We do not run big-bang migrations. The data loss target on all Cyberbeak migrations is zero — 100% of delivered projects have met this target.
Incremental is almost always the right approach, and Cyberbeak defaults to the strangler fig pattern: new functionality is built on the modern stack and routed through an API gateway, while the legacy system handles requests that have not been migrated yet. Over time, more traffic moves to the new system until the legacy layer can be retired. This eliminates the risk of a big-bang rewrite, allows the business to ship new features during the migration and gives the team time to learn the new stack in production rather than theory.
Almost all legacy systems have incomplete or absent documentation — this is normal, not a blocker. Cyberbeak runs a code archaeology phase at the start of every modernisation project: we combine static analysis tools (CodeClimate, SonarQube), database schema reverse-engineering, log analysis and structured interviews with the people who have maintained the system longest. Within 2–3 weeks we produce an architecture map that documents what the system actually does, not what it was supposed to do. This becomes the baseline for the modernisation roadmap.
Legacy modernisation by country
Share your legacy challenge and we will show you a realistic modernisation path that keeps your business running throughout.
Response within 24 hours · No obligation · Free 30-min discovery call