Products

Pre-requisites

• Azure Cli
• Azure Subscription
• Kubernetes Cli (kubectl)

Setting Up Environment

Most of the steps below can be done via the Azure Portal

• Create Resource Group
  az group create -n kube -l eastus
• Create Azure Container Service
  az acs create --orchestrator-type kubernetes --resource-group kube --name myK8sCluster --generate-ssh-keys --agent-count 1
• Get Azure credentials to be able to use the Kubernetes Cli (kubectl)
  az acs kubernetes get-credentials -g kube --name=myK8sCluster
• Confirm Kubernetes cluster by Checking Dashboard
  az acs kubernetes browse -g kube -n myK8sCluster
• (Optional) Create secret for private Registry
  kubectl create secret docker-registry regsecret --docker-server=[SERVER] --docker-username=[USERNAME] --docker-password=[PASSWORD] --docker-email=[EMAIL]

Setting Up Elastic Search

I'm using a set of scripts available here to create an instance of Elastic Search

• Create Service Account
  kubectl apply -f .deployment/elastic/service-account.yaml
• Create Replication Controller
  kubectl apply -f .deployment/elastic/es-rc.yaml
• Create Service
  kubectl apply -f .deployment/elastic/es-svc.yaml

Building and Publishing

• Build solution
• Navigate to AzSp.Products folder and Publish it
  dotnet publish .\AzSp.Products.csproj -c Release -o ./obj/Docker/publish
• Create Image
  docker build -t azsp.products .
• (Optional) Login to private registry
  docker login [Registry URL]
• (Optional) Tag Image
  docker tag azsp.products [Registry URL]/azsp.products
• Push Image docker push [Registry URL]/azsp.products

Deploying to Kubernetes

• Creating Deployment workload
  kubectl apply -f .deployment\deployment.yaml
• Creating Service workload
  kubectl apply -f .deployment\service.yaml
• (Optional) Watch for Service to be finalized
  kubectl get services lbproducts --watch