zanfranceschi/rinha-de-backend-2025
Aug 2025 – Aug 2025
1 Month active
Languages Used
DockerfileJavaScriptNginxTypeScriptYAML
Technical Skills
Backend DevelopmentBullMQCI/CDDevOpsDockerDocker Compose
Eduardofp
PROFILE
Eduardofp
Eduardo Fernandes Pinheiro developed the Rinha Backend Submission Platform for the zanfranceschi/rinha-de-backend-2025 repository, delivering a scalable Node.js and TypeScript backend using Fastify and Redis for caching and queuing. He implemented a BullMQ and Redis Streams-based worker to ensure resilient payment processing, while Nginx provided load balancing. Eduardo addressed deployment stability by tuning Docker Compose network settings, optimizing memory and thread pool configurations, and cleaning up obsolete artifacts. His work reduced submission errors and timeouts, improving reliability and throughput for competition workflows. The project demonstrated depth in backend development, system architecture, and performance tuning using Docker, Redis, and TypeScript.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
1
Lines of code
10,870
Activity Months1
Your Network
207 peopleShared Repositories
207
Work History
August 2025
6 Commits • 1 Features
Aug 1, 2025For 2025-08, delivered the Rinha Backend Submission Platform and stabilized API deployments. The backend uses Node.js/TypeScript with Fastify, Redis for caching/queuing, and Nginx for load balancing, plus a dedicated BullMQ/Redis Streams worker to handle resilient payment processing. In parallel, deployment tuning addressed network timeouts, memory limits, and OOM risks, and artifacts were cleaned to reduce risks and noise, improving overall reliability and throughput for the competition platform.
6 Commits • 1 Features
Aug 1, 2025For 2025-08, delivered the Rinha Backend Submission Platform and stabilized API deployments. The backend uses Node.js/TypeScript with Fastify, Redis for caching/queuing, and Nginx for load balancing, plus a dedicated BullMQ/Redis Streams worker to handle resilient payment processing. In parallel, deployment tuning addressed network timeouts, memory limits, and OOM risks, and artifacts were cleaned to reduce risks and noise, improving overall reliability and throughput for the competition platform.
August 2025
Activity
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Quality Metrics
Correctness65.0%
Maintainability70.0%
Architecture65.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfileJavaScriptNginxTypeScriptYAML
Technical Skills
Backend DevelopmentBullMQCI/CDDevOpsDockerDocker ComposeFastifyNginxNode.jsPerformance TuningRedisSystem ArchitectureTypeScript
Repositories Contributed To
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