Gentrace provides a robust solution for systematically testing generative AI systems by processing thousands of evaluation tasks daily using both LLM-as-judge and heuristic evaluation methods. The company faced architectural challenges in implementing a task queue strategy to handle large-scale evaluations, exploring various modern SaaS solutions and traditional message queues before settling on PostgreSQL's FOR UPDATE SKIP LOCKED feature for its task queue system. This approach efficiently manages task processing by leveraging existing infrastructure without adding complexity, which is particularly beneficial for self-hosted customers. The PostgreSQL-based strategy simplifies the architecture, supports parallel processing, and provides built-in retries, making it highly effective in production. However, Gentrace acknowledges the need for caution in high-throughput scenarios and provides a TypeScript starter repository for those interested in implementing the task queue pattern in their own projects.