
Thales Farias Sant’Anna developed a unified Docker Compose-based deployment for the zanfranceschi/rinha-de-backend-2025 repository, focusing on scalable and reproducible environments for Java backend services. He architected a solution using Docker, Nginx, and Redis, implementing two API instances behind an Nginx reverse proxy with load balancing and Redis caching to enhance performance and reliability. Thales introduced explicit network configuration and resource limits, cleaned up test artifacts, and removed obsolete files to streamline the CI workflow and reduce maintenance overhead. His work established a stable foundation for future scalability, emphasizing configuration management, containerization, and infrastructure as code best practices.
In 2025-08, delivered a unified Docker Compose-based deployment for the Java backend with Nginx load balancing and Redis caching, establishing scalable, reproducible environments for development and production. The deployment includes two API instances behind Nginx, Redis caching for performance, explicit network configuration, and defined resource limits, complemented by reliability improvements through adjusted retry settings. Cleaned up test artifacts and removed obsolete files to reduce maintenance overhead and flakiness. This work accelerates onboarding, stabilizes deployments, and lays the foundation for future scalability and performance enhancements. Technologies demonstrated include Docker Compose, Nginx, Redis, Java backend services, environment hardening, and release engineering practices.
In 2025-08, delivered a unified Docker Compose-based deployment for the Java backend with Nginx load balancing and Redis caching, establishing scalable, reproducible environments for development and production. The deployment includes two API instances behind Nginx, Redis caching for performance, explicit network configuration, and defined resource limits, complemented by reliability improvements through adjusted retry settings. Cleaned up test artifacts and removed obsolete files to reduce maintenance overhead and flakiness. This work accelerates onboarding, stabilizes deployments, and lays the foundation for future scalability and performance enhancements. Technologies demonstrated include Docker Compose, Nginx, Redis, Java backend services, environment hardening, and release engineering practices.

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