With Dapr Workflows, you can easily orchestrate messaging, state management, and failure-handling logic across various microservices. Dapr Workflows can help you create long-running, fault-tolerant, and stateful applications.

1. Clone the sample project.
2. Create an AKS cluster.
3. Install the Dapr extension on your AKS cluster.

1. Make sure that Dapr is installed on the cluster. If not, run dapr init -k.

2. Install Redis on the cluster.

   helm repo add bitnami https://charts.bitnami.com/bitnami
   helm install redis bitnami/redis
   k apply -f Deploy/redis.yaml

3. Install the sample app.

   k apply -f Deploy/deployment.yaml

4. Expose the Dapr sidecar (only for testing!) and the sample app.

   k apply -f Deploy/service.yaml
   export SAMPLE_APP_URL=$(k get svc/workflows-sample -o jsonpath='{.status.loadBalancer.ingress[0].ip}')
   export DAPR_URL=$(k get svc/workflows-sample-dapr -o jsonpath='{.status.loadBalancer.ingress[0].ip}')

1. Before starting the workflow, make an API call to the sample app to restock items in the inventory.

   curl -X GET $SAMPLE_APP_URL/stock/restock

2. Start the workflow.

   curl -i -X POST $DAPR_URL/v1.0-alpha1/workflows/dapr/OrderProcessingWorkflow/1234/start \
     -H "Content-Type: application/json" \
     -d '{ "input" : {"Name": "Paperclips", "TotalCost": 99.95, "Quantity": 1}}'

3. Check the status of the workflow.

   curl -i -X GET $DAPR_URL/v1.0-alpha1/workflows/dapr/OrderProcessingWorkflow/1234

• Dapr Workflow documentation
• Dapr extension for AKS and Arc-enabled Kubernetes documentation