E-commerce

Real-time Data Pipeline for E-commerce Platform

AWSDuration: 6 monthsTeam: 10 developers

AWSPythonReactPostgreSQLKubernetes

Key Results

10TB/day

Data Processed

Daily streaming data volume

<100ms

Latency

End-to-end processing latency

99.99%

Uptime

System availability

92%

Recommendation Accuracy

Personalization model accuracy

Technology Stack

Backend

Python

Python-based streaming data processing services

Frontend

React

React frontend for real-time analytics dashboard

Infrastructure

AWSKubernetes

AWS infrastructure with Kubernetes for auto-scaling

Database

PostgreSQL

PostgreSQL for transactional data and analytics

Client Testimonial

"The real-time data pipeline transformed our ability to personalize customer experiences. We can now process millions of events per second and deliver personalized recommendations in under 100ms. This has significantly increased our conversion rates."

Michael Chen

VP of Engineering at Major E-commerce Retailer

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