Austin · Lisbon · KarachiTrust centredev@binarybreach.tech
BinaryBreach
Case study — Omnichannel retailer · Europe

A strangler-fig migration off a monolithic commerce platform, absorbing 20× peak load with a single inventory truth.

SectorRetail & e-commerceDuration10 monthsStackNext.js · Go
Shoppers moving through a modern retail store
20×Peak load absorbed
−94%Oversell incidents
0Planned downtime windows
ReversibleEvery migration slice
The challenge

Where it started

Store, web and marketplace channels each held their own view of stock, so oversells at peak were routine and reconciliation was manual. The commerce monolith could not be scaled independently, and the previous peak season had degraded badly under load with no way to shed traffic gracefully.

The approach

  1. 01

    Placed a routing facade in front of the monolith and moved capabilities out slice by slice, each independently reversible.

  2. 02

    Built an inventory service as the single source of truth, with event-driven reservation and compensation instead of channel-local counts.

  3. 03

    Load-tested against twenty times normal traffic before peak, with a rehearsed degradation path that sheds non-essential features first.

  4. 04

    Added demand forecasting to drive allocation, replacing a set of spreadsheets maintained by one person.

Stack
  • Next.js
  • Go
  • Kafka
  • Kubernetes
  • Terraform
  • GCP
The outcome

Where it landed

Peak season ran without degradation at twenty times baseline load. Oversells fell by ninety-four percent once inventory had a single owner, and the remaining monolith now handles only back-office functions scheduled for retirement.

Capabilities used

More work

A short conversation with an engineer, not a sales qualification call. If we're the wrong people for it, we'll say so and point you somewhere better.