Engineered a fault-tolerant, distributed backend capable of processing thousands of votes per second using Kafka for real-time data streaming.
Year
2024
Timeline
4 months
Team
3 developers
Rating
4.8/5 (15 reviews)
Location
Remote
Distributed Systems
A highly scalable, fault-tolerant voting system designed to handle massive concurrent loads while ensuring data integrity and real-time processing. Built with Apache Kafka at its core, the system can process thousands of votes per second with guaranteed delivery and consistency.
Traditional voting systems struggle with high concurrent loads and lack real-time capabilities. The challenge was to build a system that could handle massive traffic spikes during peak voting periods while maintaining data integrity, providing real-time results, and ensuring fault tolerance across distributed nodes.
Client
Freelance Project
Duration
4 months
Team Size
3 developers
Rating
Backend
Frontend
Infrastructure
Monitoring
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