Aricg / k8s-intro-training

Training Guide

Deploy K3s

k3sup install --ip=10.68.0.143 --user=root --k3s-version=v1.18.8+k3s1

Kubernetes

Pod

kubectl apply -f pod.yaml
kubectl logs myapp-pod
kubectl get po -w
kubectl delete po myapp-pod

Deployment

• we can launch random stuff, but this isn't repeatable

kubectl create deploy nginx --image=nginx:1.16-alpine
kubectl get deploy
kubectl get po
kubectl delete deploy/nginx

• launch again using kustomize templates

kubectl create deploy nginx --image=nginx:1.16-alpine --dry-run -o yaml > deployment/base/deployment.yaml
kubectl apply -k deployment/base
kubectl get deploy
kubectl get po

• describe pod, look at the image
• scale deployment manually

kubectl scale deploy/nginx --replicas=3
kubectl rollout status deploy/nginx
kubectl get deploy
kubectl get po

• upgrade with bad image

kubectl set image deploy/nginx nginx=nginx:1.17-alpne --record
kubectl rollout status deploy/nginx
kubectl get po
kubectl rollout undo deploy/nginx

• redo upgrade from manifest

kustomize build deployment/base

• edit base to change image and then apply

kubectl apply -k deployment/base

• how can we use this for different environments?

kustomize build deployment/overlay/staging
kustomize build deployment/overlay/production

kubectl apply -k deployment/overlay/staging
kubectl apply -k deployment/overlay/production
kubectl get deploy
kubectl get pods

ConfigMaps

• show ConfigMaps
• explain what they're for
• explain how they're generated by Kustomize
• they'll show up later

Services

• show services listening as NodePort
• go look at them

curl -I training-a:<port>

Ingress

• show deployment/overlay/ingress/single/ingress.yaml

kubectl apply -k deployment/overlay/ingress/single
kubectl get ingress

• visit https://training-a.cl.monach.us
• what about multiple apps?

kustomize build deployment/overlay/ingress/fanout
kubectl apply -k deployment/overlay/ingress/fanout 

• visit https://training-a.cl.monach.us (fail)
• visit https://training.cl.monach.us/nginx (works)
• deploy rancher-demo application

kustomize build rancher-demo/base
kubectl apply -k rancher-demo/base

• visit https://training-a.cl.monach.us/

Rancher

Server Deploy

docker run -d --restart=unless-stopped -p 80:80 -p 443:443 -v /opt/rancher:/var/lib/rancher rancher/rancher:v2.4.5

Node Deploy

• Show how we would deploy an RKE cluster
• Import the training-a k3s cluster

Rancher Server Walkthrough

• Clusters
• Authentication & Security
• Storage
• Projects
• Namespaces
• Catalogs
• CLI/API/Kubectl

Application Deployment

• show workloads on running cluster
• edit them / delete them
• redeploy monachus/rancher-demo as a workload
  • expose port 8080
• put an Ingress in front of it
  • use training-a.cl.monach.us
• scale it

Rancher Application Catalog

• use the Hadoop example