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HPA, VPA, Cluster Autoscaler und KEDA kombinieren für Capacity Planning in Kubernetes. Mit Praxisbeispielen und Entscheidungshilfe.
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- Veröffentlicht am
Cluster Autoscaler optimieren mit Expander-Strategien, Scale-Down-Tuning und Priority-Konfiguration für kosteneffiziente Node-Skalierung.- Veröffentlicht am
HPA mit Custom Metrics aus Prometheus konfigurieren. Prometheus Adapter installieren, Metriken registrieren und Pods nach Requests pro Sekunde skalieren.- Veröffentlicht am
Express-Apps auf Kubernetes deployen mit Multi-Stage Dockerfile, Graceful Shutdown, Resource Limits und HPA für stabile Production-Cluster.- Veröffentlicht am
Kubernetes Cluster Autoscaler installieren und konfigurieren für automatische Node-Skalierung mit Helm, Karpenter-Vergleich und Spot-Instance-Strategien.