US Fashion Resale Platform Scales to 100K Monthly Transactions
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    US Fashion Resale Platform Scales to 100K Monthly Transactions

    HashDev Team Jan 15, 2024 8 min read

    About the Client

    Client

    US Fashion Resale Startup

    Location

    New York, USA

    Size

    50-100 employees

    The Challenge

    1

    The existing monolithic platform was unable to handle growing user traffic, leading to frequent downtime during peak sales.

    2

    Synchronous payment processing created bottlenecks, resulting in failed transactions and lost revenue.

    3

    The search engine degraded as the product catalog grew beyond 500K items, causing poor user experience.

    Our Approach

    1

    Conducted a thorough infrastructure audit identifying key bottlenecks in the existing architecture.

    2

    Designed a microservices-based migration plan using the strangler fig pattern for zero-downtime transition.

    3

    Implemented feature flags to gradually shift traffic while monitoring performance metrics in real-time.

    The Solution

    Migrated to containerized services on AWS ECS with auto-scaling for traffic spikes.

    Built an event-driven payment pipeline with Stripe webhooks for reliable transaction processing.

    Deployed Elasticsearch for sub-second product search across 2M+ items.

    Implemented CDN caching and image optimization reducing page load times by 65%.

    Results & Impact

    100K+Monthly TransactionsScaled from 5K to 100K monthly transactions
    -65%Page Load TimeAverage page load reduced from 4.2s to 1.5s
    +40%User RetentionImproved retention through better UX
    99.99%UptimeNear-perfect availability during peak hours
    "HashDev transformed our platform from a struggling startup tool into an enterprise-grade marketplace. The migration was seamless and the results speak for themselves."

    Sarah Mitchell

    CTO, Fashion Resale Platform

    Technologies Used

    ReactNode.jsAWS ECSElasticsearchStripeRedisPostgreSQLDocker

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