castai-deploy-integration

# CAST AI Deploy Integration ## Overview Deploy CAST AI to EKS, GKE, and AKS clusters using official Terraform modules. Each cloud provider has a dedicated CAST AI module that handles IAM roles, node configuration, and autoscaler setup. ## Prerequisites - Terraform 1.0+ - CAST AI Full Access API key - Cloud provider credentials configured - Existing Kubernetes cluster ## Instructions ### EKS Deployment ```hcl # main.tf -- EKS cluster onboarding module "castai_eks" { source = "castai/eks-cluster/castai" version = "~> 3.0" api_token = var.castai_api_token aws_account_id = data.aws_caller_identity.current.account_id aws_cluster_region = var.region aws_cluster_name = var.cluster_name # IAM role for CAST AI to manage nodes aws_instance_profile_arn = aws_iam_instance_profile.castai.arn # Autoscaler configuration autoscaler_policies_json = jsonencode({ enabled = true unschedulablePods = { enabled = true } nodeDownscaler = { enabled = true emptyNodes = { enabled = true, delaySeconds = 300 } } spotInstances = { enabled = true spotDiversityEnabled = true } clusterLimits = { enabled = true cpu = { minCores = 4, maxCores = 200 } } }) # Node templates default_node_configuration = module.castai_eks.castai_node_configurations["default"] } ``` ### GKE Deployment ```hcl module "castai_gke" { source = "castai/gke-cluster/castai" version = "~> 2.0" api_token ...