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MemcachedAutoscaler
What is MemcachedAutoscaler
MemcachedAutoscaler
is a Kubernetes Custom Resource Definitions
(CRD). It provides a declarative configuration for autoscaling Memcached compute resources in a Kubernetes native way.
MemcachedAutoscaler CRD Specifications
Like any official Kubernetes resource, a MemcachedAutoscaler
has TypeMeta
, ObjectMeta
, Spec
and Status
sections.
Here is a sample MemcachedAutoscaler
CRO for autoscaling different components of database is given below.
Sample MemcachedAutoscaler
:
apiVersion: autoscaling.kubedb.com/v1alpha1
kind: MemcachedAutoscaler
metadata:
name: mc-as
namespace: demo
spec:
databaseRef:
name: mc1
opsRequestOptions:
timeout: 3m
apply: IfReady
compute:
memcached:
trigger: "On"
podLifeTimeThreshold: 5m
resourceDiffPercentage: 20
minAllowed:
cpu: 400m
memory: 400Mi
maxAllowed:
cpu: 1
memory: 1Gi
controlledResources: ["cpu", "memory"]
containerControlledValues: "RequestsAndLimits"
Here, we are going to describe the various sections of a MemcachedAutoscaler
crd. A MemcachedAutoscaler
object has the following fields in the spec section.
spec.databaseRef
spec.databaseRef is a required field that point to the Memcached object for which the autoscaling will be performed. This field consists of the following sub-field:
spec.opsRequestOptions
These are the options to pass in the internally created opsRequest CRO. opsRequestOptions has three fields. They have been described in details here.
spec.compute
spec.compute
specifies the autoscaling configuration for to compute resources i.e. cpu and memory of the database components. This field consists of the following sub-field:
spec.compute.memcached
indicates the desired compute autoscaling
spec.compute.memcached
has the following sub-fields:
trigger
indicates if compute autoscaling is enabled for this component of the database. If “On” then compute autoscaling is enabled. If “Off” then compute autoscaling is disabled.minAllowed
specifies the minimal amount of resources that will be recommended, default is no minimum.maxAllowed
specifies the maximum amount of resources that will be recommended, default is no maximum.controlledResources
specifies which type of compute resources (cpu and memory) are allowed for autoscaling. Allowed values are “cpu” and “memory”.containerControlledValues
specifies which resource values should be controlled. Allowed values are “RequestsAndLimits” and “RequestsOnly”.resourceDiffPercentage
specifies the minimum resource difference between recommended value and the current value in percentage. If the difference percentage is greater than this value than autoscaling will be triggered.podLifeTimeThreshold
specifies the minimum pod lifetime of at least one of the pods before triggering autoscaling.