I Deliberately Destroyed My Kubernetes Cluster at 2 AM. Here's What Died First.

6.8 relevance

Chaos engineering on Kubernetes is technically deep, novel, and highly actionable for a senior engineer focused on cloud infrastructure.

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Why It Matters

For platform engineers designing self-healing infrastructure, this demonstrates that managed cloud services (EKS multi-AZ) mask failure modes that become critical in bare-metal or edge deployments, where etcd snapshots and replica counts don't guarantee MTTR without deliberate chaos testing.

Key Takeaways

Inject Chaos Mesh into your staging cluster to validate that your observability stack (Prometheus, Grafana) uses persistent volumes and that your distributed storage (Longhorn) actually tolerates node loss before relying on it in production.

I Deliberately Destroyed My Kubernetes Cluster at 2 AM. Here's What Died First.

Summary

A chaos engineering experiment on a 4-node bare-metal Kubernetes homelab (Talos Linux, Cilium, Longhorn, ArgoCD) using Chaos Mesh revealed that Prometheus data on emptyDir was lost within 60 seconds of pod-kill chaos, and PostgreSQL was repeatedly disrupted despite StatefulSet recovery. The test exposed that Longhorn's three-replica assumption and Cilium's network resilience were untested until actual node failure, highlighting the gap between theoretical resilience and real-world recovery metrics.

Author

Le Beltagy