Implementation of a cloud-native e-commerce platform capable of handling 1M+ daily transactions with real-time inventory management and personalized recommendations.
Our technical implementations showcase our expertise in building scalable, high-performance systems using modern architecture patterns and best practices in software engineering.
The system needed to maintain sub-second response times during peak loads, implement real-time inventory updates, and process personalized recommendations for millions of users.
Implemented a microservices architecture using Go for core services, React with Next.js for the frontend, and MongoDB for product data. Used Redis for caching, Apache Kafka for event streaming, and deployed on AWS EKS with auto-scaling.
Achieved 100ms average response time, 99.99% uptime during Black Friday peak (2M concurrent users), and real-time inventory updates across 1000+ stores.
Development of a distributed e-commerce system supporting multi-region deployment with real-time inventory synchronization and payment processing.
Our technical implementations demonstrate our expertise in building globally distributed systems that maintain consistency and performance across regions.
The system needed to handle cross-region transactions, maintain inventory consistency across zones, and process payments with multiple gateway integrations.
Implemented a multi-region architecture using Kubernetes for orchestration, Cassandra for distributed data storage, and custom service mesh for traffic routing. Used gRPC for service communication and implemented CQRS pattern for data consistency.
Achieved 99.999% uptime across regions, 50ms average cross-region synchronization time, and successful processing of 5000 transactions per second.
Technical implementation of a scalable CRM system processing millions of records.
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Implementation of high-frequency transaction processing architecture.
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