Case study

Payment Platform Modernization

A ten-year-old payment monolith moved from quarterly release windows to weekly deployments, without a rewrite and without a settlement incident.

Client type
European payment service provider (sample scenario)
Industry
FinTech
Duration
11 months

Sample contentSample engagement. Illustrative scenario used while the site is in build — not a named client project.

fintech2025

Payment Platform Modernization

  • Java
  • Spring Boot
  • Kotlin
  • PostgreSQL

Releases required a four-hour maintenance window and a full-team standby. Reconciliation ran overnight and regularly needed manual correction. The core runtime was two major versions past end of support, blocking a required security certification.

An incremental strangler-fig migration. Characterisation tests were written around the settlement path first, then payment routing, reconciliation and reporting were extracted into separate services behind a routing facade, with traffic shifted percentage by percentage.

Engineering time previously spent on release choreography and manual reconciliation returned to product work, and the certification blocker was cleared without a freeze on feature delivery.

  1. 01Six-week assessment producing a risk-ranked modernisation roadmap
  2. 02Characterisation test suite around settlement and reconciliation before any refactoring
  3. 03Routing facade allowing old and new paths to run side by side
  4. 04Percentage-based traffic shifting with automated shadow comparison
  5. 05Runtime and framework upgrade once traffic had moved

Why not a rewrite

The system processed real money every minute of every day. A parallel rewrite would have required maintaining two codebases against a moving regulatory target for at least eighteen months before delivering anything. The migration was structured instead so that every increment was independently releasable and reversible.

The order of operations mattered

Tests came before refactoring, the facade came before extraction, and the runtime upgrade came last — once the highest-risk code paths had already moved to services with clean dependency trees.

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