GCSBucket

Checks the contents of a GCP bucket for size, age and count.

See Folder for a full description.

gcs-folder-check.yaml

apiVersion: canaries.flanksource.com/v1
kind: Canary
metadata:
  name: gcs-bucket-check
spec:
  interval: 30
  spec:
    folder:
      - name: gcs auth test
        path: gcs://somegcsbucket
        minCount: 5

Field	Description	Scheme	Required
name	Name of the check	string	Yes
path	A path to a GCS bucket and folder e.g. gcs://bucket/folder	string	Yes
gcpConnection	Connection details for GCP	GCPConnection
*	All other fields available in the folder check	Folder
name	Name of the check, must be unique within the canary	string	Yes
description	Description for the check	string
icon	Icon for overwriting default icon on the dashboard	string
labels	Labels for check	map[string]string
test	Evaluate whether a check is healthy	Expression
display	Expression to change the formatting of the display	Expression
transform	Transform data from a check into multiple individual checks	Expression
metrics	Metrics to export from	[]Metrics
Connection
connection	Path of an existing connection e.g. connection://aws/instance Mutually exclusive with credentials	Connection
credentials	GCP Access Token File.	EnvVar	Yes

Connecting to GCP

There are 3 options when connecting to GCP:

1. GKE workload identity (the default if no connection or credentials is specified)
2. connection, this is the recommended method, connections are reusable and secure

aws-connection.yaml

apiVersion: canaries.flanksource.com/v1
kind: Canary
metadata:
  name: database-backup-check
spec:
  interval: 60
  folder:
    - name: gcs auth test
      path: gcs://somegcsbucket
      gcpConnection:
        connection: connection://gcp/internal

3. credentials EnvVar with the service account json key stored in a secret.

aws.yaml

apiVersion: canaries.flanksource.com/v1
kind: Canary
metadata:
  name: database-backup-check
spec:
  interval: 60
  folder:
    - name: gcs auth test
      path: gcs://somegcsbucket
      gcpConnection:
        credentials:
          valueFrom:
            secretKeyRef:
              name: gcp-credentials
              key: AUTH_ACCESS_TOKEN

To create the secret

kubectl create secret generic gcp-credentials --from-file=AUTH_ACCESS_TOKEN=path/to/your/SA_Key.json