Nylas Improves Latency by 58% and Reduces Cloud Costs by More Than 35%
Nylas Improves Latency by 58% and Reduces Cloud Costs by More Than 35%
1 PagesNylas, a leading CPaaS company, needed to improve API performance and reduce cloud costs amid rapid growth. Running a high-demand sync service on GCP with ~200 instances and 4K+ cores, Nylas sought a solution that required no code changes. By implementing Intel® Tiber™ App-Level Optimization, they achieved a 58% latency reduction, 35% increased throughput, and over 10% CPU utilization savings. These improvements enabled the cluster to process twice as many requests with fewer machines, leading to over 35% in cost savings. Intel Tiber optimized resource allocation in real time, delivering high performance with minimal effort.
