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Beanstalkd
Scale applications based on beanstalkd queues
This specification describes the beanstalkd
trigger that scales based on the number of jobs in a Beanstalkd queue.
triggers:
- type: beanstalkd
metadata:
server: beanstalkd.internal-namespace:11300
includeDelayed: "false"
tube: "default"
activationValue: "10"
value: "15"
timeout: "30"
Parameter list:
server
- Address of beanstalkd server <host>:<port>
. If no port is specified then the scaler will default to 11300
.includeDelayed
- Whether to include delayed jobs in the count used for scaling. Defaults to false so only ready
and reserved
jobs are counted.tube
- Name of the tube to scale on.activationValue
- Target value for activating the scaler. Learn more about activation here. (Default: 0
, Optional, This value can be a float)value
- Number of jobs in the queue to trigger on. Defaults to ready
+reserved
jobs if includeDelayed
isn’t set.timeout
- Timeout in seconds for establishing a connection to the beanstalkd server. (Default: 30
, Optional)No authentication should be needed to connect to the beanstalkd server.
Here the scaler will not be active until there are at least 10 jobs in the tube. Delayed jobs are not included as includeDelayed
will be set to a default of false
.
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
name: beanstalkd-scaledobject
spec:
scaleTargetRef:
name: beanstalkd-consumer
maxReplicaCount: 20
triggers:
- type: beanstalkd
metadata:
server: beanstalkd.internal-namespace:11300
tube: 'default'
activationValue: "10"
value: "20"
A minimum number of replicas is specified here so the scaler will always be active. This means scaling will occur as soon as the job count goes above 5. Delayed jobs are included here.
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
name: beanstalkd-scaledobject
spec:
scaleTargetRef:
name: beanstalkd-consumer
minReplicaCount: 1
maxReplicaCount: 20
triggers:
- type: beanstalkd
metadata:
server: beanstalkd.internal-namespace:11300
tube: 'scaling-tube'
value: "5"
includeDelayed: "true"