zanfranceschi/rinha-de-backend-2025
Aug 2025 – Aug 2025
1 Month active
Languages Used
GoNginx ConfigurationSQL
Technical Skills
Backend DevelopmentContainerizationDatabase ManagementMessage QueuingSystem Design
Breno Cabral
PROFILE
Breno Cabral
Breno Cabral developed the Rinha de Backend 2025 Submission Backend, focusing on building a Go-based backend system with PostgreSQL for data persistence and Redis-backed message queuing. His work introduced asynchronous worker processing to decouple submission ingestion from processing, enhancing system scalability and reliability. The repository, zanfranceschi/rinha-de-backend-2025, showcases his approach to backend development, containerization, and system design. Breno implemented robust fallback and error handling mechanisms, ensuring improved fault tolerance and failure recovery. Over the course of the month, he delivered a production-ready core feature, demonstrating depth in backend architecture and a strong grasp of Go, SQL, and message queuing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
180
Activity Months1
Your Network
207 peopleShared Repositories
207
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08: Delivered the Rinha de Backend 2025 Submission Backend. Implemented a Go-based backend with PostgreSQL persistence, Redis-backed messaging, and asynchronous worker processing. Added robust fallback and error handling to improve reliability and scalability of submissions. Ready for production with improved fault tolerance and scalability.
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08: Delivered the Rinha de Backend 2025 Submission Backend. Implemented a Go-based backend with PostgreSQL persistence, Redis-backed messaging, and asynchronous worker processing. Added robust fallback and error handling to improve reliability and scalability of submissions. Ready for production with improved fault tolerance and scalability.
August 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GoNginx ConfigurationSQL
Technical Skills
Backend DevelopmentContainerizationDatabase ManagementMessage QueuingSystem Design
Repositories Contributed To
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