KubeCon + CloudNativeCon Europe 2025

Your applications may be suffering from severe performance degradation without you knowing it. Memory bandwidth contention and cache interference between containers can increase tail latency by 4-13x and reduce compute efficiency by 25%, even with CPU and memory limits in place. This effect is particularly insidious as it manifests as high CPU utilization, leading operators to misdiagnose the root cause.

This session presents the latest research on detecting memory interference, including findings from Google, Alibaba, and Meta's production environments. We'll explore how modern CPU performance counters can identify noisy neighbors, examine real-world patterns that trigger interference (like garbage collection and container image decompression), and demonstrate practical approaches to measure these effects in Kubernetes environments.