Application Modernization Services

Frameworks don't fail loudly when they reach end of life - they just stop getting security patches. AngularJS, Vue 2, Xamarin and Magento 1 are all past that point, and every month on them adds unpatched vulnerabilities, harder hiring and integrations that no longer get updated.

Mobile is the sharpest example: the app stores keep raising the Android and iOS SDK versions they accept, and end-of-life toolchains such as Xamarin can't reach them. At some point an app that still works simply can't ship an update.

Most legacy systems don't need a full rewrite - and rewrites are where modernization projects most often fail, because the old system keeps changing while the new one is being built. We pick the lightest option that solves the real problem for each part of the system.

Replatform when the code is sound but the runtime is not (for example, .NET Framework to modern .NET). Refactor when the structure blocks change. Rebuild only the parts that are genuinely beyond saving - and keep everything else.

The choice is made per component, not once for the whole system. Rehosting - moving a component to new infrastructure largely unchanged - suits stable parts that rarely change, such as a batch job or a reporting service, when the immediate problem is ageing servers. Replatforming and refactoring suit the core modules your teams change every month. Rebuilding suits a component whose rules nobody can explain any more and which has to change anyway.

Three questions settle most cases: how often does this part change, how much would it hurt the business if it misbehaved, and can its current behaviour be captured in tests? A component that changes rarely and is well covered can wait; one that changes constantly with no tests is usually where the first increment goes.

A credible case for modernization lists the costs of standing still that your own records already show: security patches you can no longer apply, integrations blocked by an old runtime, features delayed because a change touches too much code, infrastructure or licences kept only for the legacy stack, and the difficulty of hiring for it. Each roadmap stage is then tied to one of those problems, with its own effort estimate, so leadership funds stages rather than one large bet and can see what each delivered before approving the next.

Typically weeks 1-2: assessment - inventory, dependency map, risk register and a staged roadmap with effort and cost per stage. Then delivery in increments, each one releasable on its own, with automated tests guarding behaviour that must not change.

Because every stage is shippable, you can pause, re-prioritize or stop after any of them and still keep what was delivered.