Custom Metrics Autoscaler Operator v2.19.1 supports IBM Power

Today, Red Hat released v2.19.1 of Custom Metrics AutoScaler. Based on KEDA, the optional operator increases or decreases the number of Pods, custom resource, or Job based on custom metrics; it’s not only about CPU and memory. You can control your applications to control usage.

To get started:

1. On OpenShift Container Platform web console, click Ecosystem > Installed Operators.
2. Select Custom Metrics Autoscaler.
3. On the Operator Details page, click the KedaController tab.
4. On the KedaController tab, click Create KedaController and edit the file.

apiVersion: keda.sh/v1alpha1
kind: KedaController
metadata:
  name: keda
  namespace: openshift-keda
spec:
  metricsServer:
    logLevel: "0"
  operator:
    logEncoder: console
    logLevel: info
  serviceAccount: {}
  watchNamespace: ""

You can integrate with Kafka

helm repo add strimzi https://strimzi.io/charts/
helm repo update
helm upgrade --install --namespace strimzi --wait strimzi strimzi/strimzi-kafka-operator --version 0.47.0 --set watchAnyNamespace=true

Good luck…

References

1. Red Hat OpenShift Docs: Chapter 3. Automatically scaling pods with the Custom Metrics Autoscaler Operator
2. Red Hat Developer: Custom Metrics Autoscaler on OpenShift
3. keda.sh: Kubernetes Event-driven Autoscaling
4. Custom Metrics Autoscaler Operator v2.19.1 supports IBM Power