EPISODE · Jun 16, 2026 · 8 MIN
How Kubernetes QOS Classes Cause OOM Kills in Production
from DevOps Daily with Fexingo: CI/CD, Kubernetes, and Modern Software Operations · host Fexingo
Episode 55 of DevOps Daily dives into Kubernetes Quality of Service (QOS) classes — Guaranteed, Burstable, and BestEffort — and how they determine which pods get killed when memory runs out. Lucas explains why a Burstable pod with a 1GB limit but a 500MB request is more likely to be OOM-killed than a BestEffort pod using 100MB, using a real-world case from a fintech startup that lost payment-processing pods during a memory spike. Luna shares a counterintuitive example from her own Kubernetes cluster where setting requests equal to limits actually reduced total utilization. The hosts discuss the trade-offs between resource efficiency and reliability, and why many teams blindly set requests too low. The episode also covers practical strategies: using Vertical Pod Autoscaler to tune requests, setting memory limits with a 20% headroom buffer, and monitoring the oom_kill counter in Prometheus. A must-listen for any engineer running stateful workloads on Kubernetes. #Kubernetes #QOS #OOMKill #DevOps #ContainerOrchestration #PodScheduling #MemoryManagement #CloudNative #Fintech #SiteReliabilityEngineering #Prometheus #VerticalPodAutoscaler #KubernetesBestPractices #ProductionIncidents #ResourceManagement #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
What this episode covers
Episode 55 of DevOps Daily dives into Kubernetes Quality of Service (QOS) classes — Guaranteed, Burstable, and BestEffort — and how they determine which pods get killed when memory runs out. Lucas explains why a Burstable pod with a 1GB limit but a 500MB request is more likely to be OOM-killed than a BestEffort pod using 100MB, using a real-world case from a fintech startup that lost payment-processing pods during a memory spike. Luna shares a counterintuitive example from her own Kubernetes cluster where setting requests equal to limits actually reduced total utilization. The hosts discuss the trade-offs between resource efficiency and reliability, and why many teams blindly set requests too low. The episode also covers practical strategies: using Vertical Pod Autoscaler to tune requests, setting memory limits with a 20% headroom buffer, and monitoring the oom_kill counter in Prometheus. A must-listen for any engineer running stateful workloads on Kubernetes. #Kubernetes #QOS #OOMKill #DevOps #ContainerOrchestration #PodScheduling #MemoryManagement #CloudNative #Fintech #SiteReliabilityEngineering #Prometheus #VerticalPodAutoscaler #KubernetesBestPractices #ProductionIncidents #ResourceManagement #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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How Kubernetes QOS Classes Cause OOM Kills in Production
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