/k8s-mastery

Primary LanguageJavaScript

Setup local

Kubernetes locally

Dockr for mac

  1. Open Docker for Mac -> Preferences -> Enable K8s (if you get an error go to Preferences -> reset -> reset cluster)
  2. Install kubernetes-cli & Kubernetes dashboard
brew install kubernetes-cli
kubectl config use-context docker-for-desktop
kubectl create -f https://raw.githubusercontent.com/kubernetes/dashboard/master/aio/deploy/recommended/kubernetes-dashboard.yaml
kubectl get pod --namespace=kube-system | grep dashboard | awk '{print $1}'
kubectl port-forward $(kubectl get pod --namespace=kube-system | grep dashboard | awk '{print $1}') 8443:8443 --namespace=kube-system
kubectl -n kube-system describe secret $(kubectl -n kube-system get secret |grep replicaset | awk '{print $1}')

Then copy the JTW output and use as login in this page:

https://localhost:8443

Launch service

kubectl apply -f sa-frontend-pod.yaml
kubectl port-forward sa-frontend 8009:80

Service should be visible on http://127.0.0.1:8009

Attempt to scale manually (wrong way)

kubectl apply -f sa-frontend-pod.yaml
kubectl apply -f sa-frontend-pod2.yaml
kubectl get pod -l app=sa-frontend # --show-labels

kubectl apply -f service-sa-frontend-lb.yaml
kubectl describe services sa-frontend-lb

Scale deploy (correct way)

kubectl apply -f sa-frontend-deployment.yaml

K8s

Install ingress

kubectl apply -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/master/deploy/mandatory.yaml
kubectl apply -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/master/deploy/provider/cloud-generic.yaml
kubectl get pods --all-namespaces -l app.kubernetes.io/name=ingress-nginx --watch

brew install kubernetes-helm
helm repo update
helm init --wait # open rule if behind firewall
helm install stable/traefik --set dashboard.enabled=true,dashboard.domain=dashboard.localhost

Test Docker

Frontened

docker build -f Dockerfile -t tmp-sentiment-analysis-frontend .
docker run -d -p 8000:80 tmp-sentiment-analysis-frontend

Webapp (JAVA)

mvn install
docker build -f Dockerfile -t tmp-sentiment-analysis-web-app .
docker run -d -p 8080:8080 -e SA_LOGIC_API_URL='http://localhost:5000' tmp-sentiment-analysis-web-app

Python

docker build -f Dockerfile -t tmp-sentiment-analysis-logic .
docker run -d -p 5050:5000 tmp-sentiment-analysis-logic