in the folder that has docker-compose.yaml
sudo docker compose up -d
sudo docker compose down
az acr login --name <acrName>
where <acrName> = *
az group create --name <yourResourceGroup> --location westus2
sudo docker tag mcr.microsoft.com/azuredocs/azure-vote-front:v1 <acrLoginServer>/azure-vote-front:v1
where <acrLoginServer> = *.azurecr.io
sudo docker push <acrLoginServer>/azure-vote-front:v1
az aks create \
--resource-group yourResourceGroup \
--name yourAKSCluster \
--node-count 2 \
--generate-ssh-keys \
--attach-acr <acrName>
you may need to remove the --attach-acr <acrName> portion if you dont have permission
az aks get-credentials --resource-group faraResourceGroup --name faraAKSCluster
kubectl apply -f azure-vote-all-in-one-redis.yaml
kubectl get service azure-vote-front --watch
carson@fara-vm2:/fara/azure-voting-app-redis$ kubectl get service azure-vote-front --watch
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
azure-vote-front LoadBalancer 10.0.212.157 20.252.80.191 80:30970/TCP 6m
copy 20.252.80.191 and paste into your browser. You should see the app running.
To autoscale the number of pods:
kubectl autoscale deployment azure-vote-front --cpu-percent=50 --min=3 --max=10
To delete a specific deployment
carson@fara-vm2:/fara/ml_fara$ kubectl get deployments --all-namespaces
NAMESPACE NAME READY UP-TO-DATE AVAILABLE AGE
default azure-vote-back 1/1 1 1 114m
default azure-vote-front 1/1 1 1 114m
default convo-rec 1/1 1 1 97m
default convo-rec-v2 1/1 1 1 38m
default convo-rec2 1/1 1 1 42m
kube-system coredns 2/2 2 2 5h14m
kube-system coredns-autoscaler 1/1 1 1 5h14m
kube-system konnectivity-agent 2/2 2 2 5h14m
kube-system metrics-server 2/2 2 2 5h14m
Where NAMESPACE is the namespace it's in, and DEPLOYMENT is the NAME of the deployment. If NAMESPACE is default, leave off the -n option altogether.
kubectl delete deployment convo-rec2
page_type: sample languages:
- python products:
- azure
- azure-redis-cache description: "This sample creates a multi-container application in an Azure Kubernetes Service (AKS) cluster."
This sample creates a multi-container application in an Azure Kubernetes Service (AKS) cluster. 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.
To walk through a complete experience where this code is packaged into container images, uploaded to Azure Container Registry, and then run in and AKS cluster, see the AKS tutorials.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.