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QuickStart with KEDA

Install KEDA using Helm​

Deploying KEDA with Helm is very simple:

  1. Add Helm repo

    helm repo add kedacore https://kedacore.github.io/charts

  2. Update Helm repo

    helm repo update

  3. Install keda Helm chart

kubectl create namespace keda
helm install keda kedacore/keda --namespace keda

You can find another install way in official documentatin

Create PredictKube Credentials secret​

API_KEY="<change-me>"
kubectl create secret generic predictkube-secrets --from-literal=apiKey=${API_KEY}

Configure Predict Autoscaling​

tee scaleobject.yaml << EOF
apiVersion: keda.sh/v1alpha1
kind: TriggerAuthentication
metadata:
  name: keda-trigger-auth-predictkube-secret
spec:
  secretTargetRef:
  - parameter: apiKey
    name: predictkube-secrets
    key: apiKey
---
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: example-app-scaler
spec:
  scaleTargetRef:
    name: example-app
  pollingInterval: 60
  cooldownPeriod: 300
  minReplicaCount: 3
  maxReplicaCount: 50
  triggers:
  - type: predictkube
    metadata:
      predictHorizon: "2h"
      historyTimeWindow: "7d"  # We recomend to use minimum 7-14 days time window as historical data
      prometheusAddress: http://kube-prometheus-stack-prometheus.monitoring:9090
      query: sum(irate(http_requests_total{pod=~"example-app-.*"}[2m]))
      queryStep: "2m" # Note: query step duration for range prometheus queries
      threshold: '2000' # Value to start scaling for
    authenticationRef:
      name: keda-trigger-auth-predictkube-secret
EOF

Get stats​

Now you can look how scaling works using kubectl get hpa command