How does R integrate with Kubernetes for scalable analytics workloads?

R workloads can be containerized and orchestrated in Kubernetes for elastic scaling and fault tolerance.

In production architectures, R scripts are packaged into Docker images and deployed as Kubernetes pods. Horizontal Pod Autoscaling (HPA) scales compute based on CPU/memory or custom metrics. Stateless R APIs (via plumber or Shiny proxies) are preferred to enable scaling. Stateful workloads require external storage (S3, databases).