description: "This sample creates a multi-container application in an Azure Kubernetes Service (AKS) cluster."
Try quick start - TIME challenge record time 15 minutes for app, then delete resource group:
1st attempt 03apr22 19:17 took 21:25.67 to complete up to delete command
2nd attempt 03apr22 19:53 took 14:31:48 to delete command
3rd attempt 03apr22 20:25 took 13:48:14 to delete command
4th attempt 04apr22 00:30 took 15:09:09 to delete command
5th attempt 06apr22 14:50 took 13:20:59 to delete command
6th attempt 10apr22 09:45 took 10:10:37 to delete command
7th attempt 21apr22 21:00 took 09:48:53 to delete command (chromebook)
This is a shorter version of docs.microsoft.com/en-us/azure/aks/quickstart-helm so any modifications to the below, check the page. i.e. if the acr name is different then you must update the name in azure-vote-front/values.yaml
az login
az group create --name myresourcegroup --location eastus
az acr create --resource-group myresourcegroup --name myhelmacrjm --sku Basic
az aks create --resource-group myresourcegroup --name myaks --location eastus --attach-acr myhelmacrjm --generate-ssh-keys
az aks get-credentials --resource-group myresourcegroup --name myaks
git clone https://github.com/tradexy/azure-vote-front.git
cd azure-vote-front/azure-vote/
az acr build --image azure-vote-front:v1 --registry myhelmacrjm --file Dockerfile .
helm install azure-vote-front azure-vote-front/
kubectl get --namespace default svc -w azure-vote-front
use external IP to see the App
az group delete --name myresourcegroup --yes --no-wait
az group delete --name MC_myresourcegroup_myaks_eastus --yes --no-wait
stop the clock
(remember to check 2 resource groups in portal and delete both - MC_myres.. should be deleted when myres.. is deleted))
page_type: sample languages:
- python products:
- azure
- azure-redis-cache
This sample creates a multi-container application in an Azure Kubernetes Service (AKS) cluster and deployed using Helm. The application interface has been built using Python / Flask. The data component is using Redis.
To walk through a quick deployment of this application, see the AKS quick start.
For more see the AKS tutorials.