Established German companies don't need a Silicon-Valley-style ground-up rebuild — they need a phased modernisation that keeps the business running. We replace load-bearing parts of legacy stacks while operations stay live.
Modernisation work usually starts with one of these four engagements:
01Architecture auditIndependent read on the existing system. We document what's there, name the risks (scalability, security, hiring, vendor lock-in), and deliver a sequenced modernisation roadmap. Typically 2–4 weeks.
02Phased system replacementStrangler-fig migration: the legacy system keeps running while we build the new one beside it. We move traffic over module by module — billing first, then operations, then reporting — without a production freeze.
03Internal platform rebuildInternal dashboards, admin tools and operator surfaces that your team uses every day. Often the highest-ROI work because productivity gains compound.
04Cloud migration with a planOut of an on-premise data centre or off a single-vendor cloud. We define target architecture, dependency mapping, cost model, migration waves and a cut-over plan you can present to leadership before we start.
Audience
Who this is for
We're a fit when:
01Your software was built 8–20 years ago and now slows the team down
02You can't hire enough senior engineers locally to do this in-house in time
03A full rewrite has been considered — and rejected — because the risk is too high
04Operational data integrity matters: customers, contracts, financial records
05You report to leadership that wants milestones, budgets and a phased plan, not 'we'll see'
✕ Not a fit
Not a fit if you're greenfield with no existing system, or if leadership has already committed to a full rip-and-replace under fixed timeline.
Outcomes
What you walk away with
01A documented modernisation plan you can defend to a board or owner
02A working migration that runs in parallel with the legacy system
03Reduced reliance on individual engineers who hold tribal knowledge
04Operational continuity through every migration phase — no freeze, no big-bang launch
We've sat through enough modernisations to know which decisions burn the budget and lose the board's trust. These are the five patterns we see most often.
01Big-bang rewritesNothing ever ships. The budget runs out before reaching feature parity with the old system — the project is killed before its successor goes live.
02No domain separation in the legacy systemMigration stalls because every module touches every other. What was planned as 'an isolated cut' drags half the system with it.
03Hidden dependenciesAn 'isolated' module turns out to be called by three batch jobs nobody documented. It surfaces only at first cut-over — in production.
04Data migration underestimatedIntegrity issues appear only after cut-over. What ran cleanly on a test dataset collides with twelve years of accumulated real-world data.
05No rollback pathCut-over becomes a one-way bet leadership can't sign off on. Instead of modernisation, you get an indefinite delay — or, worse, an emergency rollback with no plan.
How phased modernisation works
From a system map to the legacy decommissioned
Four phases, predictable cadence, nothing happens behind closed doors. You see weekly progress — and you can stop any phase without affecting production.
01 · 2–4 weeks
System mapping & boundaries
We document what's there, identify domain boundaries, and name the risks — before writing code or asking leadership to commit budget.
02 · 4–8 weeks
Parallel build
New modules grow beside the legacy system. Nothing in production changes yet — you can review the work at any point with zero risk to operations.
03 · 4–12 weeks
Traffic shifting
Module by module, feature flag by feature flag, the new system takes load. Rollback stays one switch away at every step — cut-over is not a risk, it's a setting.
04 · 2–4 weeks
Decommissioning
Once new modules carry 100%, legacy paths are removed and runbooks handed to your team. Maintenance contracts with us are explicitly optional.
What we actually did
Four modernisations, four real starting points
These aren't logos on a wall. Each row is one engagement: what was broken when we walked in, what we changed, and what shipped.
Benjamin C. Wenzel - Legal-Tech Criminal Defense Platform
Starting point
Precision-measurement product line on an aging stack — the measurement engine cannot be touched, but the customer-facing layer blocks every release.
What we did
Modernised the customer-facing layer while the measurement engine was preserved untouched. Clear contract drawn between measurement and application planes.
Result
Faster release cadence on the customer side, no regression on the precision side. Both planes can now plan independently.
The decisions we expect to discuss with your team and your leadership — and the questions a board will ask before sign-off.
01
Strangler-fig pattern
The new system grows beside the old. The old shrinks. Both run in parallel until functional parity is reached — there is no single cut-over.
Routing layer decides per request: old or new
Module migration is a config change, not a release
Rollback is a switch, not an emergency
02
Microservices vs modular monolith
When splitting helps — and when it just adds operational cost for a 30-person team. For most Mittelstand companies, the modular monolith is the right answer.
Microservices only when scaling or team topology forces it
Modular monolith keeps most problems small and tractable
Bounded contexts drawn before code is written — regardless of style
03
Data migration strategies
Dual-write, ETL or change-data-capture — each trades complexity for safety. Which one fits depends on your cut-over window and your tolerance for inconsistency.
Yes — that's the explicit constraint we plan around. Strangler-fig means the legacy system keeps running while the new one grows beside it. Cut-over happens module by module via feature flags. There is no big-bang and no production freeze. If a step misbehaves, the routing layer falls back — seconds, not hours.
From the architecture audit to legacy decommissioning: typically 9–18 months, depending on scope and how many modules can migrate in parallel. The architecture audit alone takes 2–4 weeks and is the basis for any defensible timeline. Quoting before that is irresponsible.
No — and that's the point. Strangler-fig only replaces modules where replacement makes economic sense. Stable, working cores (measurement engines, booking engines, regulator-validated components) are often kept. We almost never recommend full rewrites — the risks rarely justify it.
Data migration is its own workstream, not a side effect of module migration. We use dual-write or change-data-capture, depending on your tolerance for downtime. Before every cut-over, parity tests compare old and new on the same inputs. The new system takes load only after parity is confirmed.
We hunt them in the architecture audit: static code analysis, production trace logs, interviews with the engineers who built the system. What can't be found statically, we catch with a routing layer that initially calls both systems in parallel — hidden dependencies surface before the legacy is decommissioned.
We work with them. Our job is to make your team stronger — not dependent. We hand off responsibility step by step, document explicitly for internal takeover, and write runbooks that your engineers run, not us. By the end of the modernisation, the system runs on your on-call rotation, not on a maintenance contract with us.