Analysis of Anomalous Pod Eviction Spikes in Kubernetes Environment

AI analyzes significant, recurring spikes in Kubernetes pod evictions, observed during specific early morning periods. It establishes that these evictions are widespread across applications but typically occur only once per application during a spike, with other key pod health metrics remaining stable. The primary hypothesis attributes the evictions to transient node-level resource pressure—most likely disk-related (space, I/O, or inodes) or PID exhaustion—triggered by synchronized automated tasks like OS cron jobs, Kubernetes CronJobs, or Kubelet's own cleanup activities. The document also outlines fundamental Kubelet eviction mechanisms and recommends enhanced monitoring, configuration audits, and task staggering to identify the precise resource causing the evictions and prevent future occurrences, while briefly considering potential cloud provider issues as a contributing factor.