Closed-Loop SRE for Kubernetes: Auto-Remediating Pod Crashloops Before the On-Call Pages

Short summary

Kubernetes pod crashloops account for 60–80% of on-call pages, but most fall into predictable categories: deployments needing rollback, memory exhaustion, or upstream cascades. This post describes a deterministic closed-loop pattern (detect via Prometheus, decide via policy rules, guard with safety checks, act via kubectl) that auto-remediates the three common cases and reduces MTTR without ML. The remaining 20–40% of novel bugs still page humans, which is correct.

• •60–80% of pod-crash pages follow deterministic patterns (rollback, memory, upstream)
• •Closed-loop automation with Prometheus detection + policy-based decision + guardrails eliminates deterministic pages
• •Three specific remediation commands with safety checks prevent failure modes like double-rollback or cluster-wide memory pressure

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