32  Choosing infrastructure and architecture for R projects

• Hosted vs. self-managed infrastructure for R analytics
  
• On prem vs cloud
  
• The unique considerations of stateful applications
  
• Choosing the right compute resources for large-scale R jobs
  
• Containerization with Docker and Kubernetes for R workloads