The Hidden Cost of Average CPU Metrics in Latency-Sensitive Systems

Average CPU utilization metrics mask the true impact on latency-sensitive applications, where even modest utilization increases trigger exponential wait times. This article exposes how container orchestration tools like Kubernetes can silently throttle workloads based on cgroup limits while metrics suggest everything is fine, leaving engineers unable to debug production failures. Understanding the non-linear relationship between CPU utilization and latency is critical for reliable containerized deployments.