Staticws (Static webserver)

This repo is a showcase of staticpage on a webserver. We will build a container image push it to Docker Hub and run a container on:

• docker desktop with docker CLI
• docker desktop with docker-compose CLI
• docker desktop k8s cluster with kubectl CLI
• run on AKS (Azure kubernetes)
• run on play with docker
• run on play with k8s

In this repo you find:

• sources
• Dockerfile
• configuration files

Workflow for Docker desktop

• Clone this repo or copy and unpack the zip
• Open Visual Studio Code
• Open Docker Desktop

Build - Ship - Run with Docker CLI

In Docker Desktop we can do the following:

Build container image:

docker image build -t staticws:latest .

Ship container image to Docker Hub:

docker tag staticws <repo>/staticws:latest
docker push <repo>/staticws:latest
docker pull <repo>/staticws:latest

Run the container with:

docker container run --name staticws -d -p <port>:80 <repo>/staticws:latest  
in browser: http://localhost:<port>

Notes:

• port = port on host
• repo = name on Docker Hub

Run with Docker compose in Docker CLI

cd <directory of repo>
docker-compose up -d
in browser: http://localhost:4220

You can also build a container image with docker-compose. Read more: Docker-compose with build

Run in Docker Desktop k8s with kubectl

The k8s cluster runs in Docker Desktop.

Some k8s cluster commands

With CLI command kubectl (Docker Desktop has installed kubectl for you)
With kubectl version we check if k8s is working:

kubectl version

To get help:

kubectl --help

You can show the clusters you can manage with kubectl with:

kubectl config get-contexts

Choose the correct cluster with:

kubectl config use docker-desktop

Show how many nodes there are with:

kubectl get nodes

Run pod (container) the imperative way

You can run a container the imperative (Docker) way:

kubectl run staticwsink8s --image=sim007/staticws --port=4202

K8s is a cluster. We have define a service (loadbalancer) to access staticws from a browser:

kubectl expose deployment staticwsink8s --type=LoadBalancer --port=4203 --target-port=80

You can open staticws in a browser:

https:\\localhost:4203

You can check the resources with:

kubectl get deployments
kubectl get services

You can delete the deployment and service with:

kubectl delete deployment staticwsink8s
kubectl delete service staticwsink8s

Run staticws the declarative way

We define our desired state in a k8s yaml with the resources:

• deployment and
• service

Goto the directory where staticws4Azure.yaml is and go to your cluster with:

kubectl config use <cluster>

Deploy staticws with:

kubectl apply -f staticws.yaml

Check staticws in a browser with:

http://localhost:4223

You can check the resources with:

kubectl get all
kubectl get deployments
kubectl get services

You can delete the deployment and service with:

kubectl delete deployment staticws-deployment
kubectl delete service staticws-service

Run with K8S in Azure AKS in a Docker CLI

Your can reach AKS on Azure with your kubectl. Goto directory where staticws4Azure.yaml is

kubectl apply -f staticws4Azure.yaml

Note: you need an Azure account and an AKS cluster

Run in "play with Docker"

In browser goto https://labs.play-with-docker.com/

Login and start Virtual machine

git clone https://github.com/Sim007/staticws.git 
docker container run --name staticws -d -p <port>:80 <repo>/staticws:latest

run with docker-compose

You can also start staticws with docker-compose. You need docker-compose file.

docker-compose up

Run in "play with K8s" (or "katacode")

In browser goto https://labs.play-with-k8s.com and https://www.katacoda.com/courses/kubernetes/playground)

Remember you only need:

• container images in container registry
• config files The k8s yaml is available on github. You can give the yaml in command. Go to yaml file in github and click the button raw and use this URL.

Login and start a k8s environment

kubectl -f https://raw.githubusercontent.com/Sim007/staticws/master/Staticws.yaml

GitHub Actions

demo

pipeline build, tag and push registry

pipeline deploy

Azure DevOps:

• Azure pipeline
  • Build pipeline
  • Release pipeline

GitLab CI

To do

• portainer