Throughput requirements scale faster than most invoice pipelines. A .NET team can integrate an HTML-to-PDF converter, ship it, and watch sequential processing stay comfortable at low volume — then watch the same workflow stretch from minutes to hours as customer counts grow. The cost is rarely a single error; it is linear scaling colliding with a roadmap that needs better. The question for .NET teams is not "which library is fastest" but "what performance characteristics matter for my workload?" Throughput for batch jobs differs from latency for real-time API responses. Memory footprint matters differently in serverless functions than in long-running services. Understanding these characteristics drives practical tool selection. Understanding IronPDF IronPDF wraps a modern Chromium rendering engine optimized for server-side PDF generation at scale. The library handles concurrent rendering requests through an internal process pool that manages browser lifecycle.…