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Use Kubernetes PSI metrics to detect real API saturation without noisy paging

Combine golden signals, Prometheus, and Pressure Stall Information to know when latency is user impact and when it is capacity noise.

A practical guide to adding PSI to Kubernetes API dashboards, correlating CPU/memory/IO pressure with SLIs, and designing alerts that page only on real impact.

Created: June 12, 2026

Published: June 12, 2026

Estimated time35 min

LevelIntermediate

Before you startPrometheus collecting node and container metrics

PlatformsLinux

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Linux

Workflow with Prometheus, node exporter/cAdvisor, kubectl, and Prometheus rules to correlate API SLIs with PSI.

curljqkubectlpromtool

Find available PSI metrics

curl -s 'http://prometheus.example/api/v1/label/__name__/values' | jq -r '.data[]' | grep '^node_pressure_'

Validate Prometheus rule

promtool check rules api-saturation.rules.yml

Check HPA and current usage

kubectl top pods -n checkout-prod --containers && kubectl get hpa -n checkout-prod

Also available inUsar métricas PSI de Kubernetes para detectar saturación real en APIs sin paginar por ruido

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