158-kubecost.sh

# Source: https://gist.github.com/9e8c8a78d669c84a803aac2d5446127c

######################################################################
# Monitor and Manage Cost Of Kubernetes Clusters And Cloud Resources #
# https://youtu.be/GpChs_4exxQ                                       #
######################################################################

# Additional Info:
# - Kubecost: https://kubecost.com
# - Cost-Aware Kubernetes Cluster Autoscaling With Cast AI: https://youtu.be/r2VS8DV1Lpk
# - Kustomize - How to Simplify Kubernetes Configuration Management: https://youtu.be/Twtbg6LFnAg

#########
# Setup #
#########

# Create a Kubernetes cluster
# Using AWS EKS for the demo, but it can be any other Kubernetes cluster with Ingress.
# Please note that some of the benefits are reserved for clusters running in AWS, Azure, or GCP.

# Replace `[...]` with the external IP of the Ingress service
export KUBECOST_HOST=kubecost.$INGRESS_HOST.nip.io

git clone https://github.com/vfarcic/kubecost-demo

cd kubecost-demo

# Open https://www.kubecost.com/install#show-instructions and copy the token (we'll use slightly diffrerent commands than those in the instructions).

# Replace `[...]` with the token
export KUBECOST_TOKEN=[...]

helm repo add kubecost \
    https://kubecost.github.io/cost-analyzer

helm repo update

helm upgrade --install \
    kubecost kubecost/cost-analyzer \
    --namespace kubecost \
    --create-namespace \
    --set kubecostToken=$KUBECOST_TOKEN \
    --wait

kubectl create namespace production

kubectl --namespace production apply \
    --kustomize app/overlays/production

######################
# Exploring KubeCost #
######################

kubectl --namespace kubecost \
    port-forward \
    deployment/kubecost-cost-analyzer \
    9090 &

# Open `http://localhost:9090` in a browser

kubectl --namespace production get pods

# Open `app/base/deployment.yaml` in an editor
# Set `spec.template.spec.containers[0].resources.requests.cpu` to `10m`
# Set `spec.template.spec.containers[0].resources.requests.memory` to `20Mi`
# Set `spec.template.spec.containers[0].resources.limits.cpu` to `50m`
# Set `spec.template.spec.containers[0].resources.limits.memory` to `100Mi`

kubectl --namespace production apply \
    --kustomize app/overlays/production

kubectl --namespace production get pods

# Open https://docs.kubecost.com/getting-started#cloud-integration

###########
# Destroy #
###########

pkill kubectl

cp orig/deployment.yaml app/base/.

# Reset of destroy the Kubernetes cluster