Product description page migrated to Next.js
The team migrated the high-traffic product description page to Next.js and established the architectural direction for the wider frontend. Subsequent page changes remained with the programme team.
Retail
Modernising a UK Retailer's Rewards Platform: Frontend, Infrastructure and Delivery Pipeline
A UK retail programme covering Next.js migration, GCP infrastructure, membership-system changes, microfrontends and CI/CD modernisation.
Client not named. The membership-dependency work was still in progress when this programme record ended; no completion outcome is claimed.
Before
The work covered a product description page, an on-premise membership module, an external membership-data service and a Jenkins delivery pipeline.
Intervention
Membership module moved from on-premise to GCP
The membership module moved from on-site hardware to GCP. The migration covered networking, state management and service discovery. The module then ran on GCP with programme-level observability.
Removing the third-party membership dependency
An external service held the membership data model and drove physical card generation. Loyalty programme changes required vendor coordination. The programme began rebuilding the capability in-house and migrating its data and integrations. That work is ongoing.
Rewards module split into microfrontends
The programme divided the rewards frontend into independently deployable slices owned by separate teams.
GCP extended to both card programmes and Jenkins replaced
A later phase extended the infrastructure work to both consumer brands' card programmes and replaced Jenkins with a self-service delivery pipeline. Automated gates supplied the release signals.
Limits
These measures describe this engagement only.
Selected records include work delivered before Anystack Engineering was incorporated in May 2024. Each record states its provenance; these results are not evidence of current commercial models.
How deterministic verification works.
These historical architecture patterns informed the invariant mapping and mutation testing models powering Pramāṇa.