
Yan Pitangui developed a multi-instance backend upgrade for the zanfranceschi/rinha-de-backend-2025 repository, focusing on throughput and deployment reliability. He implemented Backend Submission v3 using Akka.NET for asynchronous pipelines and NATS for inter-service messaging, introducing a dedicated worker for heavy processing. Database interactions were optimized with Dapper AOT and binary copy, while PostgreSQL was upgraded to postgres:17-alpine with tuned performance settings. Yan stabilized Docker deployments by refining health checks, timeouts, and retries, and improved infrastructure by cleaning up logs and updating image tags. His work demonstrated depth in C#, Docker, and PostgreSQL, resulting in measurable reliability and performance gains.
Month 2025-08: Delivered a high-impact backend upgrade with a multi-instance architecture and reliability enhancements. Key features delivered include Backend Submission v3 with an asynchronous Akka.NET pipeline, multi-instance backend, and NATS-based inter-service communication, plus optimized data access using Dapper AOT and binary copy to boost throughput. Major bugs fixed include PostgreSQL Docker healthcheck and startup reliability improvements through tuned intervals, timeouts, retries, and log cleanup; and infrastructure adjustments for robust startup. Upgraded PostgreSQL image to postgres:17-alpine with performance-oriented configurations (disabled fsync and full_page_writes) and aligned healthchecks for better readiness monitoring. Infrastructure cleanup included log cleanup and docker image tag updates to streamline deployments. Overall impact: improved throughput, reliability, and deployment readiness, with measurable reductions in startup failures and deployment drift. Technologies/skills demonstrated: Akka.NET, NATS messaging, Dapper AOT, Docker and Docker Compose, PostgreSQL performance tuning, CI/CD readiness, and agile infrastructure maintenance.
Month 2025-08: Delivered a high-impact backend upgrade with a multi-instance architecture and reliability enhancements. Key features delivered include Backend Submission v3 with an asynchronous Akka.NET pipeline, multi-instance backend, and NATS-based inter-service communication, plus optimized data access using Dapper AOT and binary copy to boost throughput. Major bugs fixed include PostgreSQL Docker healthcheck and startup reliability improvements through tuned intervals, timeouts, retries, and log cleanup; and infrastructure adjustments for robust startup. Upgraded PostgreSQL image to postgres:17-alpine with performance-oriented configurations (disabled fsync and full_page_writes) and aligned healthchecks for better readiness monitoring. Infrastructure cleanup included log cleanup and docker image tag updates to streamline deployments. Overall impact: improved throughput, reliability, and deployment readiness, with measurable reductions in startup failures and deployment drift. Technologies/skills demonstrated: Akka.NET, NATS messaging, Dapper AOT, Docker and Docker Compose, PostgreSQL performance tuning, CI/CD readiness, and agile infrastructure maintenance.

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