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README.md

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.

Parameter Description Default
recommender.name Spot Recommender container name recommender
recommender.image Spot Recommender container image banzaicloud/spot-recommender:{VERSION}
recommender.replicaCount Replica Count 3
recommender.service.type Kubernetes service type to expose ClusterIP
recommender.service.nodePort Port to bind to for NodePort service type nil
recommender.service.annotations Additional annotations to add to service nil
recommender.imagePullPolicy Image pull policy. IfNotPresent
recommender.logLevel Recommender Log level info
recommender.appPort Port to bind to for Recommender service 9090
recommender.cacheInstanceTypes Recommendations are cached for these instance types m4.xlarge,m5.xlarge,c5.xlarge
recommender.reevaluationInterval Time (in seconds) between reevaluating the recommendations. 1m0s
recommender.region AWS region where the recommender should work. eu-west-1
recommender.resources CPU/Memory resource requests/limits Memory: 256Mi, CPU: 100m

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