Sampling Blindness in Kubernetes Performance Monitoring

Google Cloud's Metrics Explorer can miss critical performance issues due to its 60-second sampling interval. When resource-intensive batch jobs saturate CPU for just 20-30 seconds, standard metrics show normal utilization while applications suffer severe slowdowns. This reveals a fundamental gap in Kubernetes observability strategies and underscores the necessity of real-time monitoring alongside metric sampling.