E-Commerce Database API Engine
High-throughput database engine and REST API designed for high-concurrency retail catalogs.
E-Commerce Database API Engine
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OVERVIEW & PROBLEM STATEMENT
A backend service designed to handle complex catalog queries, multi-attribute product variations, and atomic shopping cart updates under heavy concurrent load. By implementing indexed PostgreSQL queries and Redis caching for hot product catalogs, the API reduces database read overhead by 70% while guaranteeing ACID compliance during inventory reservation.
KEY MILESTONES & OUTCOMES
Reduced database read pressure by 70% using Redis key caching with TTL invalidation.
Atomic cart checkout transactions preventing inventory overselling during flash sales.
Comprehensive Swagger/OpenAPI documentation with automated validation schemas.
SYSTEM CAPABILITIES & FEATURES
Multi-filter queries across categories, price ranges, brand tags, and availability.
Database row locking during checkout to prevent double-spending stock.
Pre-warmed caches for top-selling products and promotional banners.
TECHNICAL ARCHITECTURE & STACK
Engineering Decisions & Topology
- Express.js with modular controller-service-repository pattern.
- PostgreSQL relational database with foreign-key constraints and compound indexes.
- Redis memory store for cart session data and catalog query cache.
Stack Technologies
VISUAL INTERFACE & SCREENSHOTS
API Endpoint Architecture
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API Endpoint Architecture1/2
RESTful endpoints documentation with Swagger UI integration and sample payloads.
Cache Hit Ratio Dashboard
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Cache Hit Ratio Dashboard2/2
Redis telemetry showing read cache optimization for top catalog items.
Interested in collaborating or hiring?
I specialize in resilient backend architectures, real-time messaging, and high-performance AI automation pipelines.