Metrics API

Scale applications based on a metric provided by an API

Availability: v2.0+ Maintainer: Community

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Trigger Specification

This specification describes the metrics-api trigger that scales based on a metric value provided by an API.

This scaler allows users to utilize any existing APIs as a metric provider.

Here is an example of trigger configuration using metrics-api scaler:

triggers:
- type: metrics-api
  metadata:
    targetValue: "8.8"
    activationTargetValue: "3.8"
    url: "http://api:3232/api/v1/stats"
    valueLocation: "components.worker.tasks"

Parameter list:

url - Full URL of the API operation to call to get the metric value (eg. http://app:1317/api/v1/stats).
valueLocation - GJSON path notation to refer to the field in the payload containing the metric value.
targetValue - Target value to scale on. When the metric provided by the API is equal or higher to this value, KEDA will start scaling out. When the metric is 0 or less, KEDA will scale down to 0. (This value can be a float)
activationTargetValue - Target value for activating the scaler. Learn more about activation here.(Default: 0, Optional, This value can be a float)
unsafeSsl - Skip certificate validation when connecting over HTTPS. (Values: true, false, Default: false, Optional)

Authentication Parameters

Metrics Scaler API supported three types of authentication - API Key based authentication, basic authentication and TLS authentication.

You can use TriggerAuthentication CRD to configure the authentication. Specify authMode and other trigger parameters along with secret credentials in TriggerAuthentication as mentioned below:

API Key based authentication:

authMode: It must be set to apiKey in case of API key Authentication. Specify this in trigger configuration.
method - This specifies the possible methods API Key based authentication supports. Possible values are header and query. header is the default method. Specify this in trigger configuration.
keyParamName - This is either header key or query param used for passing apikey. Default header is X-API-KEY and default query param is api_key. Specify this in trigger configuration. If your implementation has different key, please specify it here.
apiKey - API Key needed for authentication.

Basic authentication:

authMode - It must be set to basic in case of Basic Authentication. Specify this in trigger configuration.
username - Provide the username to be used for basic authentication.
password - Provide the password to be used for authentication. (Optional)

TLS authentication:

authMode - It must be set to tls in case of TLS Authentication. Specify this in trigger configuration.
ca - Certificate authority file for TLS client authentication.
cert - Certificate for client authentication.
key - Key for client authentication. (Optional)

Bearer authentication:

authMode - It must be set to bearer in case of Bearer Authentication. Specify this in trigger configuration.
token - Token that should be placed in the Authorization header. The header will be Authorization: Bearer {token}.

Example

Here is a full example of scaled object definition using Metric API trigger:

apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: http-scaledobject
  namespace: keda
  labels:
    deploymentName: dummy
spec:
  maxReplicaCount: 12
  scaleTargetRef:
    name: dummy
  triggers:
    - type: metrics-api
      metadata:
        targetValue: "7"
        url: "http://api:3232/components/stats"
        valueLocation: 'components.worker.tasks'

When checking current metric Metrics API scaler sends GET request to provided url and then uses valueLocation to access the value in response’s payload.

The above example expects that the API endpoint will return response similar to this one:

{
  "components": {
    "worker": {
      "tasks": 12,
      ...
    },
    ...
  },
  ...
}

Assuming such response, Metrics API trigger will figure out that current metric value is 12.

💡 **NOTE:**The value of the metric can either be an integral unquoted json number type (e.g. 123). Or a quantity (e.g. “123”, “1.23”, “10Mi”).

Here is an example of a metric scaler with API Key based authentication,

apiVersion: v1
kind: Secret
metadata:
  name: keda-metric-api-secret
  namespace: default
data:
  apiKey: "APIKEY"
---
apiVersion: keda.sh/v1alpha1
kind: TriggerAuthentication
metadata:
  name: keda-metric-api-creds
  namespace: default
spec:
  secretTargetRef:
    - parameter: apiKey
      name: keda-metric-api-secret
      key: apiKey
---
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: http-scaledobject
  namespace: keda
  labels:
    deploymentName: dummy
spec:
  maxReplicaCount: 12
  scaleTargetRef:
    name: dummy
  triggers:
    - type: metrics-api
      metadata:
        targetValue: "7"
        url: "http://api:3232/components/stats"
        valueLocation: 'components.worker.tasks'
        authMode: "apiKey"
        method: "query"
        keyParamName: "QUERY_KEY"
      authenticationRef:
        name: keda-metric-api-creds

Here is an example of a metric scaler with Bearer Authentication, define the Secret and TriggerAuthentication as follows

apiVersion: v1
kind: Secret
metadata:
  name: keda-metric-api-secret
  namespace: default
data:
  token: "PlaceYourTokenHere"
---
apiVersion: keda.sh/v1alpha1
kind: TriggerAuthentication
metadata:
  name: keda-metric-api-creds
  namespace: default
spec:
  secretTargetRef:
    - parameter: token
      name: keda-metric-api-secret
      key: token
---
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: http-scaledobject
  namespace: keda
  labels:
    deploymentName: dummy
spec:
  maxReplicaCount: 12
  scaleTargetRef:
    name: dummy
  triggers:
    - type: metrics-api
      metadata:
        targetValue: "7"
        url: "http://api:3232/components/stats"
        valueLocation: 'components.worker.tasks'
        authMode: "bearer"
      authenticationRef:
        name: keda-metric-api-creds

Here is an example of a metric scaler with Basic Authentication, define the Secret and TriggerAuthentication as follows

apiVersion: v1
kind: Secret
metadata:
  name: keda-metric-api-secret
  namespace: default
data:
  username: "username"
  password: "password"
---
apiVersion: keda.sh/v1alpha1
kind: TriggerAuthentication
metadata:
  name: keda-metric-api-creds
  namespace: default
spec:
  secretTargetRef:
    - parameter: username
      name: keda-metric-api-secret
      key: username
    - parameter: password
      name: keda-metric-api-secret
      key: password
---
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: http-scaledobject
  namespace: keda
  labels:
    deploymentName: dummy
spec:
  maxReplicaCount: 12
  scaleTargetRef:
    name: dummy
  triggers:
    - type: metrics-api
      metadata:
        targetValue: "7"
        url: "http://api:3232/components/stats"
        valueLocation: 'components.worker.tasks'
        authMode: "basic"
      authenticationRef:
        name: keda-metric-api-creds

Here is an example of a metric scaler with TLS Authentication, define the Secret and TriggerAuthentication as follows

apiVersion: v1
kind: Secret
metadata:
  name: keda-metric-api-secret
  namespace: default
data:
  cert: "cert"
  key: "key"
  ca: "ca"
---
apiVersion: keda.sh/v1alpha1
kind: TriggerAuthentication
metadata:
  name: keda-metric-api-creds
  namespace: default
spec:
  secretTargetRef:
    - parameter: cert
      name: keda-metric-api-secret
      key: cert
    - parameter: key
      name: keda-metric-api-secret
      key: key
    - parameter: ca
      name: keda-metric-api-secret
      key: ca
---
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: http-scaledobject
  namespace: keda
  labels:
    deploymentName: dummy
spec:
  maxReplicaCount: 12
  scaleTargetRef:
    name: dummy
  triggers:
    - type: metrics-api
      metadata:
        targetValue: "7"
        url: "http://api:3232/components/stats"
        valueLocation: 'components.worker.tasks'
        authMode: "tls"
      authenticationRef:
        name: keda-metric-api-creds