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Autoscale Kubernetes from OpenSearch signals without creating feedback loops

A practical guide to connect OpenSearch and KEDA with cheap queries, conservative limits, and canary validation.

Learn how to turn OpenSearch queries into KEDA external metrics without causing oscillation, expensive queries, or autoscaling from noise.

Created: July 22, 2026

Published: July 22, 2026

Estimated time45 min
LevelAdvanced
Before you startA Kubernetes cluster with KEDA installed or an equivalent staging environment
PlatformsLinux
WhatsAppXLinkedIn

Linux

kubectl, curl, and YAML workflow to validate the signal before promotion.

kubectlcurljq
Check that KEDA sees the ScaledObject
kubectl get scaledobject checkout-api-opensearch -n prod-eu-a
Inspect the generated HPA
kubectl describe hpa keda-hpa-checkout-api-opensearch -n prod-eu-a
Review scaler errors
kubectl logs deploy/keda-operator -n keda --since=15m | grep -i checkout-api
Also available inAutoescalar Kubernetes con señales de OpenSearch sin crear bucles de feedback

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