10 — Modernize

Legacy Application Modernization

Replacing systems that still run the business, module by module, while they keep running the business.

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Overview

Why legacy systems need replacing

Legacy systems rarely need replacing because they stopped working. They need replacing because change has become expensive, the people who understood them have left, and the platform they run on is approaching end of support.

We avoid the rewrite that never lands. Using the strangler pattern, new services take over one capability at a time behind a routing layer, with the old system authoritative until the new one demonstrably matches it. There is no weekend where everything changes at once.

A

Incremental, never big-bang

Capability by capability behind a facade, with the ability to route traffic back at any point.

B

Behaviour locked in first

Characterisation tests capture what the system does today — including the bugs downstream processes now depend on.

C

Business case per slice

Each phase carries its own cost, risk and payback so funding is renewed on evidence rather than faith.

What's included

Modernization paths we run

The right route depends on how much of the system's value is in its behaviour versus its code.

Strangler-pattern replacement

A routing facade in front of the legacy system, with capabilities migrated behind it one at a time and traffic shifted gradually.

Cloud re-platforming

Moving off end-of-life hardware and data centres to AWS, Azure or GCP, with infrastructure as code and costs modelled before the move.

Monolith decomposition

Extracting bounded contexts into services where it demonstrably pays — not shattering a working system into distributed complexity for its own sake.

Database & data migration

Schema modernisation, dual-write phases and reconciliation reporting until old and new agree on every record.

API enablement of legacy systems

A documented, secured API layer over a system of record you are not ready to replace, unblocking every other project waiting on it.

Test harness & safety net

Characterisation and regression suites built around the current behaviour before any refactoring begins.

How we work

Modernizing without a freeze

01

Assess and slice

Map capabilities, dependencies and change frequency, then order the slices by business value and technical risk.

02

Wrap and instrument

Put a facade in front of the legacy system, add characterisation tests and start measuring real traffic and usage.

03

Migrate a slice

Build the replacement, shadow-run it against production traffic, compare outputs, then shift traffic progressively behind a flag.

04

Decommission

Retire the legacy component only once traffic is fully migrated and reconciliation has been clean for a full business cycle.

Why it pays off

What modernization actually delivers

Change gets cheap again

Work that took a quarter starts taking a sprint, because the safety net makes changes provable rather than nerve-wracking.

Risk drops on day one

The facade, the tests and the monitoring deliver value before a single component has been replaced.

Funding stays defensible

Slice-by-slice payback means the programme survives a change of sponsor or a tighter budget year.

Technologies we reach for

AWSAzureGoogle CloudKubernetesDockerTerraform.NETJavaNode.jsPostgreSQLOracleSQL ServerKafkaDebezium
FAQ

Questions we get asked

By never running one. Each slice is scoped to a few months, delivers measurable value on its own, and leaves the system in a shippable state. If funding stops after phase two, you keep the benefits of phases one and two — you are not left stranded halfway through a rewrite with nothing in production.

That is the common case. We reconstruct behaviour from the running system: characterisation tests derived from real traffic, database analysis, log mining and structured interviews with the people who use it daily. The tests become the specification, and they are usually more accurate than the documentation would have been.

No. Cloud is a means, not the goal, and for some workloads — hardware-attached systems, strict data-residency cases, predictable heavy compute — staying on-premise or hybrid is the cheaper answer. We model the three-year cost both ways and let the numbers decide.

Let's talk

Tell us what you are trying to build

Book a free consultation call. You will speak to a senior architect, not a salesperson, and leave with a technical direction and a realistic budget band — before you commit to anything.

  • A senior architect on the first call
  • A written proposal within 3 business days
  • Full IP ownership assigned to you on delivery