You are managing a pipeline that deploys a microservices application to multiple Azure Kubernetes Service (AKS) clusters in different regions. You want to implement a progressive exposure strategy where the deployment first goes to a small cluster (canary), then to a medium cluster, and finally to all clusters. The deployment should be automated but with the ability to halt if errors occur. What should you use?