@helm-charts/banzaicloud-stable-spot-recommender v0.0.2-0.1.0

@helm-charts/banzaicloud-stable-spot-recommender

A Spot Recommender Helm chart for Kubernetes

# Default values for spot-recommender
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.

recommender:
  ## The official Banzai Spot Recommender image, change tag to use a different version.
  ## https://hub.docker.com/r/banzaicloud/spot-recommender/tags/
  ##
  image:
    repository: 'banzaicloud/spot-recommender'
    tag: '0.0.1'

    ## Specify an imagePullPolicy (Required)
    ## It's recommended to change this to 'Always' if the image tag is 'latest'
    ## ref: http://kubernetes.io/docs/user-guide/images/#updating-images
    imagePullPolicy: IfNotPresent

  replicas: 1

  service:
    ## Kubernetes service type
    type: ClusterIP

    ## Specify the nodePort value for the LoadBalancer and NodePort service types.
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
    ##
    # nodePort:
    ## Provide any additonal annotations which may be required. This can be used to
    ## set the LoadBalancer service type to internal only.
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
    ##
    # annotations:

  logLevel: 'info'

  # The address to listen on for HTTP requests.
  appPort: 9090

  # Recommendations are cached for these instance types (comma separated list)
  cacheInstanceTypes: 'm4.xlarge,m5.xlarge,c5.xlarge'

  # Time (in seconds) between reevaluating the recommendations.
  reevaluationInterval: '1m0s'

  #AWS region where the recommender should work.
  region: 'eu-west-1'

  ## Configure resource requests and limits
  ## ref: http://kubernetes.io/docs/user-guide/compute-resources/
  ##
  resources:
    requests:
      memory: 256Mi
      cpu: 120m

  #AWS access key ID used to describe auto scaling groups
  awsAccessKeyId: ''
  #AWS secret key used to describe auto scaling groups
  awsSecretAccessKey: ''

Hollowtrees Spot Recommender

SpotRecommender Spot instance recommender is a building block of the Hollowtrees project.

tl;dr:

$ helm repo add banzaicloud-incubator http://kubernetes-charts-incubator.banzaicloud.com
$ helm repo update
$ helm install banzaicloud-incubator/spot-recommender

Introduction

This chart bootstraps an AWS spot recommender deployment on a Kubernetes cluster using the Helm package manager.

Prerequisites

• Kubernetes 1.8+ with Beta APIs enabled

Installing the Chart

To install the chart with the release name my-release:

$ helm install --name my-release banzaicloud-incubator/spot-recommender

The command deploys SpotRecommender on the Kubernetes cluster in the default configuration. The configuration section lists the parameters that can be configured during installation.

Uninstalling the Chart

To uninstall/delete the my-release deployment:

$ helm delete my-release

The command removes all the Kubernetes components associated with the chart and deletes the release.

Configuration

The following tables lists the configurable parameters of the SpotRecommender chart and their default values.

Specify each parameter using the --set key=value[,key=value] argument to helm install.

Alternatively, a YAML file that specifies the values for the parameters can be provided while installing the chart. For example:

$ helm install --name my-release -f values.yaml banzaicloud-incubator/spot-recommender

Tip: You can use the default values.yaml