Developers fix latency by optimizing data pipelines and using concurrency

A development team led by the author reduced the response time of their voice agent platform, Rawk.ai, from 900ms to 320ms. The improvement came from redesigning the request pipeline, not from using more powerful hardware. Key tactics included streaming processes concurrently and implementing caching strategies with Redis for PostgreSQL data. The author emphasizes that performance must be measured by the slowest user experiences, not averages, to prevent real-world failures like double-charges or stale data. The post outlines principles for identifying and parallelizing independent process steps to reduce overall latency.