Building sales automation infrastructure that doesn't slow down at scale

Sales automation systems that initially perform well can struggle at scale, as small delays in processing can accumulate and affect conversion rates. The text discusses how delays in database queries, message queue saturation, and event processing lags can extend response times beyond the critical five-minute window, which significantly impacts sales success. It highlights the importance of an efficient infrastructure capable of handling thousands of operations per second through architectural patterns like event-driven processing, multi-layered caching, and real-time data layers. The use of technologies such as Redis for caching and message streaming is emphasized to ensure low-latency operations and maintain system responsiveness. Additionally, the text outlines the necessity of quantifying infrastructure improvements through metrics like latency, throughput, and error rates, linking these to business outcomes to optimize sales automation and increase revenue.