Docker and Kubernetes DevOps Demo

Developer

Install RabbitMQ Locally

docker run -d --hostname rabbit --name rabbit-management -p 5672:5672 -p 15672:15672 rabbitmq:3-management

Check that Rabbit MQ is running http://localhost:15672/#/

docker ps

Getting into RabbitMQ to config and go mad.

docker exec --interactive --tty rabbit-management bash
rabbitmqctl list_queues

Test your python publisher script

pip install pika
pip install time

#!/usr/bin/env python
import os
import time
import pika

connection = pika.BlockingConnection(pika.ConnectionParameters(localhost))
channel = connection.channel()
channel.exchange_declare(exchange='data',exchange_type='topic')
channel.queue_declare(queue='demo')
channel.queue_bind(queue='demo',exchange='data',routing_key='hello')

while (True):
    channel.basic_publish(exchange='data',
                        routing_key='hello',
                        body='Hello World!')
    print(" [x] Sent 'Hello World!'")
    time.sleep(1)

connection.close()

RABBITMQ_SERVER=localhost
chmod a+x publisher.py
/publisher.py

Test you python subscriber script

#!/usr/bin/env python
import os
import pika

connection = pika.BlockingConnection(pika.ConnectionParameters(localhost))
channel = connection.channel()
channel.queue_declare(queue='demo')

def callback(ch, method, properties, body):
    print(" [x] Received %r" % body)

channel.basic_consume('demo',
                    callback,
                    auto_ack=True)

print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming()

RABBITMQ_SERVER=localhost
chmod a+x subscriber.py
./subscriber.py

Build your docker and push to repository

FROM python:3

WORKDIR /usr/src/app

COPY requirements.txt ./
RUN pip install pika

COPY . .

CMD [ "python", "./publisher.py" ]

FROM python:3

WORKDIR /usr/src/app

COPY requirements.txt ./
RUN pip install pika

COPY . .

CMD [ "python", "./subscriber.py" ]

docker build --file Dockerfile-publisher --tag py-publisher .
docker build --file Dockerfile-subscriber --tag py-subscriber .

docker run -it --rm --name py-publisher py-publisher
docker run -it --rm --name py-subscriber py-subscriber

export DOCKER_ID_USER="username"
docker login
docker tag py-publisher $DOCKER_ID_USER/py-publisher
docker push $DOCKER_ID_USER/py-publisher
docker tag py-subscriber $DOCKER_ID_USER/py-subscriber
docker push $DOCKER_ID_USER/py-subscriber

Operations

Install AZ cli

curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash

az login
az account list --subscription
az aks install-cli

Install Kubernetes Components

Install Kubectl

Kubectl will be used to control your production and minikube clusters.

sudo apt update
sudo apt install -y apt-transport-https
sudo su
curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | apt-key add -
cat <<EOF >/etc/apt/sources.list.d/kubernetes.list
deb http://apt.kubernetes.io/ kubernetes-xenial main
EOF
exit
sudo apt update
sudo apt install -y kubectl

Install AKS Cluster

az group create -l westeurope -n aks-resource-group
az aks create --resource-group=aks-resource-group \
  --name=aks-cluster \
  --node-vm-size=Standard_DS1_v2 \
  --node-count=5 \
  --generate-ssh-keys
az aks install-cli
az aks get-credentials --resource-group netstar-k8s-rg --name netstar-k8s-cluster

kubectl get nodes
kubectl create clusterrolebinding kubernetes-dashboard --clusterrole=cluster-admin --serviceaccount=kube-system:kubernetes-dashboard
az aks browse --resource-group netstar-k8s-rg --name netstar-k8s-cluster

curl -LO https://git.io/get_helm.sh
chmod 700 get_helm.sh
./get_helm.sh

helm init
helm install stable/rabbitmq

https://github.com/helm/charts/tree/master/stable/rabbitmq