Incremental modernisation of legacy applications — strangler-fig migrations, data extraction, and framework upgrades delivered while the system keeps serving customers.
Rewrites are the last resort, not the starting point. Most of this work is careful, reversible, and delivered in slices.
A dependency, risk, and cost map of the current system, ending in a sequenced plan with the cheap wins first.
New capability built alongside the monolith behind a routing layer, with traffic moved feature by feature and rollback always available.
Dual writes, backfills, and verification jobs so the new store is provably consistent before anything is cut over.
End-of-life language runtimes, frameworks, and dependencies brought current, with test coverage added ahead of each move.
Applications packaged, externalised from the servers they grew on, and made deployable rather than hand-installed.
Characterisation tests written against current behaviour first, so refactoring has something to prove it did no harm.
Four phases designed so every step is independently valuable and independently reversible.
Code, data, infrastructure, and the tribal knowledge in people's heads captured into a dependency map with risk ranked by blast radius.
Characterisation tests, observability, and a rollback path established before a single line of production behaviour changes.
One bounded capability at a time moved behind a facade, verified in production with traffic shadowing, then switched over.
Old paths retired only once metrics prove they are unused, with runbooks and architecture notes left with your team.
We work in the legacy stack as it is, and move it towards technology your team can actually hire for.
The signals that the cost of waiting has passed the cost of acting.
A language version or framework past end of life, so security patches have quietly stopped arriving.
Deployments happen at night, by hand, by one person, because nobody trusts what a change will break.
The application was lifted to a virtual machine in the cloud and now costs more than it did on-premise.
Nobody wants to work on the stack, and the people who understand it are close to leaving.
The measures that matter are delivery speed, incident rate, and running cost.
Automated pipelines and real test coverage move deployment from a monthly event to a normal working day.
Right-sized, containerised workloads typically cut hosting cost substantially against long-lived over-provisioned servers.
Supported runtimes and patchable dependencies remove a class of risk that no amount of perimeter tooling covers.
When change is safe, the roadmap stops being priced by fear and starts being priced by scope.
Legacy work rewards patience and evidence more than ambition.
Learn more about us →Full rewrites fail at a rate the industry has documented for decades. We migrate incrementally and keep a way back at every step.
We instrument the existing system and let usage data decide what gets migrated, kept, or deleted outright.
The legacy system runs the business. We treat its strange behaviours as requirements to understand, not mistakes to mock.
We pair with your engineers throughout, because modernisation that only we understand is a new legacy problem.
Risk, sequencing, and how modernisation is funded without pausing the roadmap.
Book a modernisation review and we will map the risks and a sequence that does not stop your roadmap.
Book a Modernisation Review →