How does R handle zero-downtime deployment for machine learning APIs?

Zero-downtime deployment is achieved using rolling updates, blue-green deployments, and container orchestration.

R APIs are containerized and deployed behind load balancers. Blue-green deployment runs two identical environments where traffic is switched after validation. Rolling updates replace instances gradually to avoid service interruption.