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    How We Helped FinTech Startup Scale 10x

    A Series A FinTech with 20,000 active users needed to support 200,000. Their monolithic architecture couldn’t handle it. We re-platformed the backend without a single hour of unplanned downtime — and they scaled 10x in eight months.

    Client

    Series A FinTech (Confidential)

    Industry

    FinTech

    Services

    Platform Architecture, Cloud Infrastructure, Engineering Leadership

    Location

    London, UK

    The Challenge

    The product had grown faster than the architecture beneath it. What started as a tightly-coupled monolith built for speed to market was now causing payment latency spikes under load, unpredictable performance during peak periods, and a deployment pipeline so fragile that a bug in one service could take down the whole platform. The engineering team was spending more time managing incidents than shipping features — and investor growth targets were at risk.

    The catch: the product was live with paying customers. A full rewrite was off the table. What was needed was a phased migration that could decompose the monolith incrementally — starting with the highest-risk payment and identity services — while keeping the product stable throughout. The team also needed technical leadership: engineering processes, on-call structure, and architectural decision-making that would hold up as headcount doubled in the next twelve months.

    Banking software development — Webizona

    The Solution

    A phased microservices migration and cloud infrastructure overhaul — decomposing the monolith service by service, rebuilding the deployment pipeline, and providing embedded engineering leadership to take the internal team with us every step of the way.

    • Microservices Migration

      Designed and executed a phased decomposition of the monolithic backend — extracting payment processing, identity, and notification services first, standing each up behind an API gateway with feature flags controlling cutover, and verifying parity before decommissioning the old code paths.

    • Cloud Infrastructure Overhaul

      Re-platformed the infrastructure on AWS EKS with horizontal auto-scaling, multi-availability-zone redundancy, and a CI/CD pipeline that reduced deployment lead time from three days to under two hours — supporting 10x user load without a proportional increase in infrastructure cost.

    • Engineering Team Enablement

      Embedded a fractional CTO and senior engineers for six months to build architectural decision records, introduce incident management processes, run architecture reviews, and upskill the internal engineering team — leaving a team that could own and extend the platform without continued external support.

    • 10×User capacity growth achieved without rewriting the product
    • 0 hrsUnplanned downtime during the entire migration
    • -68%Reduction in payment processing latency under peak load
    • 200K+Active users supported post-migration
    • 8 moFrom initial scoping to full production cutover

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