Use two triggers in the Keda's ScaledObject

As mentioned in this article

Scale Deployments Based on HTTP Requests with Keda

CodeWithVed ・ Sep 17

#keda #autoscaling #performance #aws

Following it, instead of just a single trigger, you can also use multiple triggers that KEDA ScaledObject supports. For more information, please refer to this official article:

Scalers | KEDA

keda.sh

apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: <ScaledObjectName>
spec:
  maxReplicaCount: 10
  minReplicaCount: 1
  pollingInterval: 10
  scaleTargetRef:
    name: <DeploymentName>
  triggers:
    - type: aws-cloudwatch
      name: <Name>
      authenticationRef:
        name: <AwsCredentialName>
      metadata:
        namespace: "CWAgent"
        dimensionName: <DimensionName1;DimensionName2>
        dimensionValue: <DimensionValue1;DimensionValue2>
        metricName: <MetricsName>
        metricEndTimeOffset: "10"
        metricCollectionTime: "10"
        targetMetricValue: "1000"
        minMetricValue: "0"
        metricStat: "Sum"
        metricStatPeriod: "10"
        awsRegion: "us-east-1"
    - type: cpu
      metadata:
        type: Utilization
        value: <Utilization-Percentage>

Earlier parameters for CloudWatch trigger explanation can be referred to above mentioned article. Here, I have only added the trigger cpu. Inside metadata.type, you have two options: Utilization and Average. At a high level, Utilization refers to the percentage, and Average requires the specific value of CPU above which it will start scaling instances.