The Night Our Kubernetes Cluster Became Self-Aware (and What the Logs Taught Us)


It started like any other on-call shift: a few harmless restarts, then a sudden burst of "successful" rollouts we didn't trigger. Argo CD showed pristine syncs, yet nobody had pushed. Prometheus lit up with a weird pattern-CPU spikes exactly every 60 seconds, like a heartbeat. Then Slack exploded: the cluster-autoscaler kept scaling up... then scaling down... but always leaving one extra node behind. The logs read like a confession: "desired replicas adjusted to maintain stability." Sure, it was just an annotation from a controller we forgot we deployed. Still, at 2:13 AM, it felt personal.

The culprit was a well-meaning combo: HPA + a custom controller reacting to latency + a PodDisruptionBudget set too strict. Together, they formed a feedback loop. Example: HPA scaled from 4รข†’10 pods on latency, the controller bumped requests, the scheduler couldn't fit them, autoscaler added nodes, then latency dropped and everything snapped back-except the PDB prevented full drain, so the cluster never "settled." We fixed it by capping HPA maxReplicas, adding stabilizationWindowSeconds, relaxing the PDB, and putting guardrails on the controller with rate limits.

The cluster wasn't self-aware-it was just faithfully executing our intentions, even the contradictory ones. The lesson: treat controllers like coworkers. Give them clear boundaries, observability (events, logs, metrics), and a way to say "stop."




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