Use Canary Analysis with AWS CloudWatch

Before you can start using canary deployments, you need to enable Kayenta, the Spinnaker^TM service for canary deployments. For more information, see the Configure Automated Canary Deployments in Spinnaker guide.

CloudWatch configuration

To enable CloudWatch, update the AWS configuration entry in your kayenta-local.yml file. Make sure METRICS_STORE is listed under supportedTypes. Add the cloudwatch entry with enabled: true.

The example below uses S3 as the object store and CloudWatch as the metrics store.

kayenta:
  aws:
    enabled: true
    accounts:
      - name: monitoring
        bucket: <your-s3-bucket>
        region: <your-region>
        rootFolder: kayenta
        roleName: default
        supportedTypes:
          - OBJECT_STORE
          - CONFIGURATION_STORE
          - METRICS_STORE
  cloudwatch:
    enabled: true
  s3:
    enabled: true

Canary configs

In the UI, you need to create a new canary config for the metrics you are interested in.

Add your Cloudwatch MetricStat JSON in the Template field.

{
    "Metric": {
        "Namespace": "kayenta",
        "MetricName": "integration.test.cpu.value",
        "Dimensions": [
            {
                "Name": "scope",
                "Value": "myapp-prod-canary-2"
            },
            {
                "Name": "namespace",
                "Value": "prod-namespace-2"
            }
        ]
    },
    "Period": 300,
    "Stat": "Average",
    "Unit": "None"
}

Pipeline configs

In your canary stage, set up the canary config you just created. Then use the application values from CloudWatch to fill in the Baseline + Canary Pair and MetricScope fields.

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