castai-reference-architecture

# CAST AI Reference Architecture ## Overview Production-grade architecture for managing CAST AI across multiple Kubernetes clusters. Covers Terraform module layout, per-environment policies, API key management, and observability integration. ## Prerequisites - Multiple Kubernetes clusters (dev, staging, production) - Terraform for infrastructure management - Centralized secrets management - Monitoring stack (Prometheus, Grafana, or Datadog) ## Terraform Module Structure ``` infrastructure/ ├── modules/ │ └── castai-cluster/ │ ├── main.tf # CAST AI provider resources │ ├── variables.tf # Cluster-specific inputs │ ├── outputs.tf # Cluster ID, savings metrics │ ├── policies.tf # Autoscaler policy configuration │ ├── node-templates.tf # Node template definitions │ └── security.tf # Kvisor, RBAC ├── environments/ │ ├── dev/ │ │ ├── main.tf # Dev cluster onboarding │ │ ├── terraform.tfvars # Dev-specific values │ │ └── backend.tf # State storage │ ├── staging/ │ │ ├── main.tf │ │ ├── terraform.tfvars │ │ └── backend.tf │ └── prod/ │ ├── main.tf │ ├── terraform.tfvars │ └── backend.tf └── shared/ ├── api-keys.tf # Key management └── monitoring.tf # Alerting rules ``` ## Reusable Module ```hcl # modules/castai-cluster/main.tf variable "cluster_name" { type = string } variable "clust...