Observed Signal · May 17, 2026 · Incident & Recovery Guide · Source: DEV Community · Impact: 2/5 · Sentiment: Positive

etcd NOSPACE recovery guide for on‑prem Kubernetes

Executive Signal Summary

A DEV.to post documents a production incident where an on‑prem Kubernetes control plane became unresponsive because etcd hit its storage limit and raised a NOSPACE alarm. The author describes diagnosing the issue by inspecting etcd logs and per‑node disk usage, then recovering the cluster without kubectl by SSHing into master nodes, using crictl to exec into the etcd container, and running etcdctl compact, defrag and alarm disarm on each member. The guide explains the difference between compaction and defragmentation, notes default etcd size limits (2GB) and that auto‑compaction is often not configured by kubeadm, and recommends adding --auto-compaction-retention=1h to static pod manifests to prevent recurrence.

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High Confidence

Practical operational runbook for recovering on‑prem Kubernetes control planes after etcd storage exhaustion; relevant to infrastructure and SRE teams but not industry‑shifting.

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Key Takeaways & Evidence Grounding

  • An on‑prem Kubernetes control plane became degraded after etcd raised a NOSPACE alarm when the database exceeded its storage limit (default ~2GB).
  • Recovery was performed without kubectl by SSHing into master nodes, using crictl to access the etcd container, then running etcdctl compact, defrag and alarm disarm on each etcd member.
  • Compaction removes old revisions logically; defragmentation rewrites the DB file to actually reclaim disk space; both steps are required to reduce disk usage.
  • Many kubeadm clusters do not enable automatic compaction by default; the author recommends adding --auto-compaction-retention=1h to /etc/kubernetes/manifests/etcd.yaml.
Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: DEV Community•Published: May 17, 2026
Original Coverage Title: “etcd: mvcc: database space exceeded: full recovery guide for on-prem Kubernetes”

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