Quick Start
If you want to jump straight in and skip the first lab, this section provides the manifest files and guidance to do so. This is only recommended if you are comfortable with Kubernetes, have some basic experience with AKS and core Kubernetes primitives such as Deployments, Pods and Services
The assumption is you are working in a bash shell (Cloud Shell or local WSL) with the Azure CLI installed and kubectl command available
Quick Create Cluster
You can use an existing AKS cluster if you have one deployed, alternatively create one as follows:
Set variables
group=<resource group name>
region=<azure region name>
Create resource group and cluster
az group create -n $group -l $region
az aks create -g $group -n aks-cluster -l $region \
--node-count 3 --node-vm-size Standard_DS2_v2 \
--kubernetes-version 1.13.7 --verbose
💬 Note 1. The versions of Kubernetes available in AKS change regularly, if version 1.13.7 is not available run az aks get-versions -l $region -o table and use the newest version available. It should not affect the lab
Once deployed, connect to it and validate it is running
az aks get-credentials -g $group -n aks-cluster
kubectl get nodes
Azure Container Registry (ACR)
To save time, rather than use ACR, the pre-built images hosted publicly on Dockerhub will be used.
Set Up Project & Manifests
Set up your lab project directory and download/extract the Kubernetes manifests from the first lab.
mkdir kube-lab
cd kube-lab
wget https://azurecitadel.com/cloud-native/kube-advanced/lab1-manifests.zip
unzip lab1-manifests.zip
Quick Deploy Steps
Deploy the data api and MongoDB database:
kubectl apply -f mongo.stateful.yaml
kubectl apply -f mongo.svc.yaml
kubectl apply -f data-api.deploy.yaml
kubectl apply -f data-api.svc.yaml
It might take a minute for MonogDB to start, but you can jump to the next step rather than wait
Get the external IP of data api service, press Ctrl-C when the IP goes from pending to a real public IP
kubectl get svc/data-api-svc -w
Edit frontend.deploy.yaml and change the {data_api_ip} to the IP address assigned above
Deploy frontend of app:
kubectl apply -f frontend.deploy.yaml
kubectl apply -f frontend.svc.yaml
Get the external IP of frontend service, press Ctrl-C when the IP goes from pending to a real public IP
kubectl get svc/frontend-svc -w
Go to the frontend IP in your browser to access and validate the app is running.
You are now at a point where the last lab finished, and ready to carry on.
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