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Scale applications based on the count of objects in a given Google Cloud Storage (GCS) bucket.
This specification describes the gcp-storage
scaler, which scales Kubernetes workloads based on the count of objects in a given Google Cloud Storage (GCS) bucket. This scaler assumes the worker, when run, will process and clear the bucket by deleting/moving objects therein.
triggers:
- type: gcp-storage
metadata:
bucketName: test-bucket
targetObjectCount: '100'
activationTargetObjectCount: '10' # Optional
maxBucketItemsToScan: '1000'
credentialsFromEnv: GOOGLE_APPLICATION_CREDENTIALS_JSON # Optional
credentialsFromEnvFile: GOOGLE_APPLICATION_CREDENTIALS_JSON # Optional
blobPrefix: # Optional. Prefix for the Blob. Use this to specify sub path for the blobs if required. Default : ""
blobDelimiter: # Optional. Delimiter for identifying the blob Prefix. Default: ""
Parameter list:
bucketName
- Name of the bucket in GCS.targetObjectCount
- Average target value to trigger scaling actions. (Default: 100
, Optional)activationTargetObjectCount
- Target value for activating the scaler. Learn more about activation here. (Default: 0
, Optional)maxBucketItemsToScan
- When to stop counting how many objects are in the bucket. (Default: 1000
, Optional)blobPrefix
- Prefix for the Blob. Use this to specify sub path for the blobs if required. (Default: ""
, Optional)blobDelimiter
- Delimiter for identifying the blob prefix. (Default: ""
, Optional)
As counting the number of objects involves iterating over their metadata it is advised to set this number to the value of targetObjectCount
* maxReplicaCount
.The metric name will be generated automatically based on the trigger index and bucketName
, for example: s0-gcp-storage-bucketName.
You can provide in the metadata either credentialsFromEnv
or credentialsFromEnvFile
.
credentialsFromEnv
- Set to the name of the environment variable that holds the credential information.credentialsFromEnvFile
- Set to the name of a json file that holds the credential information.You can use TriggerAuthentication
CRD to configure the authenticate by providing the service account credentials in JSON.
Credential based authentication:
GoogleApplicationCredentials
- Service account credentials in JSON.Identity based authentication:
You can also use TriggerAuthentication
CRD to configure the authentication using the associated service account of the running machine in Google Cloud. You only need to create a TriggerAuthentication
as this example, and reference it in the ScaledObject
. ClusterTriggerAuthentication
can also be used if you intend to use it globally in your cluster.
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
name: gcp-storage-scaledobject
namespace: keda-gcp-storage-test
spec:
scaleTargetRef:
name: keda-gcp-storage-go
triggers:
- type: gcp-storage
metadata:
bucketName: "Transactions"
targetObjectCount: "5"
credentialsFromEnv: GOOGLE_APPLICATION_CREDENTIALS_JSON
apiVersion: keda.sh/v1alpha1
kind: TriggerAuthentication
metadata:
name: keda-trigger-auth-gcp-credentials
spec:
secretTargetRef:
- parameter: GoogleApplicationCredentials
name: gcp-storage-secret # Required. Refers to the name of the secret
key: GOOGLE_APPLICATION_CREDENTIALS_JSON # Required.
---
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
name: gcp-storage-scaledobject
spec:
scaleTargetRef:
name: keda-gcp-storage-go
triggers:
- type: gcp-storage
authenticationRef:
name: keda-trigger-auth-gcp-credentials
metadata:
bucketName: "Transactions"
targetObjectCount: "5"
blobPrefix: blobsubpath # Default : ""
blobDelimiter: "/" # Default: ""
apiVersion: keda.sh/v1alpha1
kind: TriggerAuthentication
metadata:
name: keda-trigger-auth-gcp-credentials
spec:
podIdentity:
provider: gcp
---
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
name: gcp-storage-scaledobject
spec:
scaleTargetRef:
name: keda-gcp-storage-go
triggers:
- type: gcp-storage
authenticationRef:
name: keda-trigger-auth-gcp-credentials
metadata:
bucketName: "Transactions"
targetObjectCount: "5"