scheduled-pod-autoscaler

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Published: Dec 22, 2020 License: Apache-2.0 Imports: 11 Imported by: 0

README

scheduled-pod-autoscaler

PkgGoDev

Custom Kubernetes controller for GitOps native scheduled scaling.

Autoscaling with HorizontalPodAutoscaler is difficult to use for spike access etc. ScheduledPodAutoscaler can for more flexible autoscaling by controlling min/max replicas at specific times.

Overview

ScheduledPodAutoscaler is made up of two custom resources.

The parent-child relationship can look like this:

$ kubectl tree scheduledpodautoscaler nginx
NAMESPACE  NAME                             READY  REASON  AGE
default    ScheduledPodAutoscaler/nginx     -              6m5s
default    ├─HorizontalPodAutoscaler/nginx  -              6m5s
default    ├─Schedule/test-1                -              6m4s
default    ├─Schedule/test-2                -              6m4s
default    └─Schedule/test-3                -              6m4s
ScheduledPodAutoscaler

ScheduledPodAutoscaler is a custom resource that wraps HorizontalPodAutoscaler. The ScheduledPodAutoscaler Controller generates a HorizontalPodAutoscaler from this resource.

The specs of the HorizontalPodAutoscaler defined here will be used when no scheduled scaling is taking place.

for example:

apiVersion: autoscaling.d-kuro.github.io/v1
kind: ScheduledPodAutoscaler
metadata:
  name: nginx
spec:
  horizontalPodAutoscalerSpec:
    scaleTargetRef:
      apiVersion: apps/v1
      kind: Deployment
      name: nginx
    minReplicas: 3
    maxReplicas: 10
    metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 70
$ kubectl get spa # You can use spa as a short name of scheduledpodautoscaler.
NAME    MINPODS   MAXPODS   STATUS      AGE
nginx   3         10        Available   6m52s
Schedule

Schedule is a custom resource for defining scheduled scaling. You can define multiple children's Schedule for the parent ScheduledPodAutoscaler.

The ScheduledPodAutoscaler controller refers to the Schedule and rewrites HorizontalPodAutoscaler created by ScheduledPodAutoscaler when it is time for scheduled scaling. HorizontalPodAutoscaler is not managed in Git, so there are no diffs in GitOps.

📝 Note: A case of schedule conflicts

In case of a schedule conflict, using the maximum value of min/max replicas.

📝 Note: Warm-up time

The ScheduledPodAutoscaler controller only changes the min/max replica of HorizontalPodAutoscaler. Launching the Pod will take some time. Be sure to set a generous amount of time for scheduled scaling.

$ kubectl get schedule -o wide
NAME     REFERENCE   TYPE      STARTTIME          ENDTIME            STARTDAYOFWEEK   ENDDAYOFWEEK   MINPODS   MAXPODS   STATUS      AGE
test-1   nginx       Weekly    20:10              20:15              Saturday         Saturday       1         1         Available   4m49s
test-2   nginx       Daily     20:20              20:25                                              2         2         Available   4m49s
test-3   nginx       OneShot   2020-10-31T20:30   2020-10-31T20:35                                   4         4         Completed   4m49s

Schedule supports 3 different schedule types.

type: Weekly

Write the time in the format of HH:mm and specify the day of the week.

apiVersion: autoscaling.d-kuro.github.io/v1
kind: Schedule
metadata:
  name: nginx-push-notification
spec:
  scaleTargetRef:
    apiVersion: autoscaling.d-kuro.github.io/v1
    kind: ScheduledPodAutoscaler
    name: nginx
  minReplicas: 10
  maxReplicas: 20
  type: Weekly
  startDayOfWeek: Monday
  startTime: "11:50"
  endDayOfWeek: Wednesday
  endTime: "13:00"
  timeZone: Asia/Tokyo
type: Daily

Write the time in the format of HH:mm.

apiVersion: autoscaling.d-kuro.github.io/v1
kind: Schedule
metadata:
  name: nginx-push-notification
spec:
  scaleTargetRef:
    apiVersion: autoscaling.d-kuro.github.io/v1
    kind: ScheduledPodAutoscaler
    name: nginx
  minReplicas: 10
  maxReplicas: 20
  type: Daily
  startTime: "11:50"
  endTime: "13:00"
  timeZone: Asia/Tokyo
type: OneShot

Write the time in the format of yyyy-MM-ddTHH:mm.

apiVersion: autoscaling.d-kuro.github.io/v1
kind: Schedule
metadata:
  name: nginx-push-notification
spec:
  scaleTargetRef:
    apiVersion: autoscaling.d-kuro.github.io/v1
    kind: ScheduledPodAutoscaler
    name: nginx
  minReplicas: 10
  maxReplicas: 20
  type: OneShot
  startTime: "2020-09-01T10:00"
  endTime: "2020-09-10T19:00"
  timeZone: Asia/Tokyo

Install

All resources (the CRDs, Deployment and RBAC) are included in a single YAML manifest file.

By default, it is installed in the kube-system namespace.

# Kubernetes v1.16+
$ kubectl apply -f https://raw.githubusercontent.com/d-kuro/scheduled-pod-autoscaler/v0.0.3/manifests/install/install.yaml

# Kubernetes < v1.16
$ kubectl apply -f https://raw.githubusercontent.com/d-kuro/scheduled-pod-autoscaler/v0.0.3/manifests/install/legacy/install.yaml
Kustomize

Support for kustomize remote base:

apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization

resources:
  # Kubernetes v1.16+
  - github.com/d-kuro/scheduled-pod-autoscaler/manifests/install?ref=v0.0.3

  # Kubernetes < v1.16
  # - github.com/d-kuro/scheduled-pod-autoscaler/manifests/install/legacy?ref=v0.0.3

Spec

ScheduledPodAutoscaler
name type required description
.spec.horizontalPodAutoscalerSpec Object required HorizontalPodAutoscalerSpec is HorizontalPodAutoscaler v2beta2 API spec. ref: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.19/#horizontalpodautoscaler-v2beta2-autoscaling
Schedule
name type required description
.spec.scaleTargetRef Object required ScaleTargetRef points to the target resource to scale, and is used to the pods for which metrics should be collected, as well as to actually change the replica count.
.spec.scaleTargetRef.apiVersion string optional API version of the referent.
.spec.scaleTargetRef.kind string required Kind of the referent.
.spec.scaleTargetRef.name string required Name of the referent.
.spec.description string optional Description is schedule description.
.spec.suspend boolean optional Suspend indicates whether to suspend this schedule.
.spec.timeZone string optional TimeZone is the name of the timezone used in the argument of the time.LoadLocation(name string) function. StartTime and EndTime are interpreted as the time in the time zone specified by TimeZone. If not specified, the time will be interpreted as UTC.
.spec.minReplicas integer optional MinReplicas is the lower limit for the number of replicas to which the autoscaler can scale down. It defaults to 1 pod.
.spec.maxReplicas integer optional MaxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up.
.spec.type string required ScheduleType is a type of schedule represented by "Weekly","Daily","OneShot".
.spec.startDayOfWeek string optional StartDayOfWeek is scaling start day of week. Represented by "Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday".
.spec.endDayOfWeek string optional EndDayOfWeek is scaling end day of week. Represented by "Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday".
.spec.startTime string required StartTime is scaling start time. Defined in RFC3339 based format. Different formats are evaluated depending on ScheduleType. e.g. OneShot(yyyy-MM-ddTHH:mm), Weekly(HH:mm), Daily(HH:mm)
.spec.endTime string required EndTime is scaling end time. Defined in RFC3339 based format. Different formats are evaluated depending on ScheduleType. e.g. OneShot(yyyy-MM-ddTHH:mm), Weekly(HH:mm), Daily(HH:mm)

Metrics

scheduled-pod-autoscaler exports metrics in OpenMetrics format.

You can get the metrics by access to http://localhost:8080/metrics. The port of the metrics endpoint can be changed using the metrics-addr option.

Custom Metrics
name type description
scheduled_pod_auroscaler_min_replicas gauge Lower limit for the number of pods that can be set by the scheduled pod autoscaler
scheduled_pod_auroscaler_max_replicas gauge Upper limit for the number of pods that can be set by the scheduled pod autoscaler

Controller Options

name type description
--enable-leader-election bool Enable leader election for controller manager. Enabling this will ensure there is only one active controller manager.
--metrics-addr string The address the metric endpoint binds to. (default ":8080")
--probe-addr string The address the liveness probe and readiness probe endpoints bind to. (default ":9090")
--zap-devel bool Development Mode defaults(encoder=consoleEncoder,logLevel=Debug,stackTraceLevel=Warn). Production Mode defaults(encoder=jsonEncoder,logLevel=Info,stackTraceLevel=Error)
--zap-encoder value Zap log encoding ('json' or 'console')
--zap-log-level value Zap Level to configure the verbosity of logging. Can be one of 'debug', 'info', 'error', or any integer value > 0 which corresponds to custom debug levels of increasing verbosity
--zap-stacktrace-level value Zap Level at and above which stacktraces are captured (one of 'info', 'error').
--kubeconfig string Paths to a kubeconfig. Only required if out-of-cluster.
--master string (Deprecated: switch to --kubeconfig) The address of the Kubernetes API server. Overrides any value in kubeconfig. Only required if out-of-cluster.

Documentation

The Go Gopher

There is no documentation for this package.

Directories

Path Synopsis
apis
autoscaling/v1
Package v1 contains API Schema definitions for the autoscaling v1 API group +kubebuilder:object:generate=true +groupName=autoscaling.d-kuro.github.io
Package v1 contains API Schema definitions for the autoscaling v1 API group +kubebuilder:object:generate=true +groupName=autoscaling.d-kuro.github.io
controllers

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