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Each cloud provider has a dedicated CAST AI module that handles IAM roles, node configuration, and autoscaler setup.\n\n## Prerequisites\n\n- Terraform 1.0+\n- CAST AI Full Access API key\n- Cloud provider credentials configured\n- Existing Kubernetes cluster\n\n## Instructions\n\n### EKS Deployment\n\n```hcl\n# main.tf -- EKS cluster onboarding\nmodule \"castai_eks\" {\n  source  = \"castai\u002Feks-cluster\u002Fcastai\"\n  version = \"~> 3.0\"\n\n  api_token           = var.castai_api_token\n  aws_account_id      = data.aws_caller_identity.current.account_id\n  aws_cluster_region  = var.region\n  aws_cluster_name    = var.cluster_name\n\n  # IAM role for CAST AI to manage nodes\n  aws_instance_profile_arn = aws_iam_instance_profile.castai.arn\n\n  # Autoscaler configuration\n  autoscaler_policies_json = jsonencode({\n    enabled = true\n    unschedulablePods = { enabled = true }\n    nodeDownscaler = {\n      enabled = true\n      emptyNodes = { enabled = true, delaySeconds = 300 }\n    }\n    spotInstances = {\n      enabled = true\n      spotDiversityEnabled = true\n    }\n    clusterLimits = {\n      enabled = true\n      cpu = { minCores = 4, maxCores = 200 }\n    }\n  })\n\n  # Node templates\n  default_node_configuration = module.castai_eks.castai_node_configurations[\"default\"]\n}\n```\n\n### GKE Deployment\n\n```hcl\nmodule \"castai_gke\" {\n  source  = \"castai\u002Fgke-cluster\u002Fcastai\"\n  version = \"~> 2.0\"\n\n  api_token            = var.castai_api_token\n  project_id           = var.gcp_project_id\n  gke_cluster_name     = var.cluster_name\n  gke_cluster_location = var.region\n\n  gke_credentials = base64decode(\n    google_container_cluster.this.master_auth[0].cluster_ca_certificate\n  )\n\n  autoscaler_policies_json = jsonencode({\n    enabled = true\n    unschedulablePods = { enabled = true }\n    nodeDownscaler = {\n      enabled = true\n      emptyNodes = { enabled = true, delaySeconds = 300 }\n    }\n  })\n}\n```\n\n### AKS Deployment\n\n```hcl\nmodule \"castai_aks\" {\n  source  = \"castai\u002Faks\u002Fcastai\"\n  version = \"~> 1.0\"\n\n  api_token              = var.castai_api_token\n  aks_cluster_name       = var.cluster_name\n  aks_cluster_region     = var.region\n  node_resource_group    = azurerm_kubernetes_cluster.this.node_resource_group\n  azure_subscription_id  = data.azurerm_subscription.current.subscription_id\n  azure_tenant_id        = data.azurerm_client_config.current.tenant_id\n\n  autoscaler_policies_json = jsonencode({\n    enabled = true\n    unschedulablePods = { enabled = true }\n    spotInstances = { enabled = true }\n  })\n}\n```\n\n### Multi-Cluster Deployment Pattern\n\n```hcl\n# Deploy CAST AI across all clusters with a for_each\nvariable \"clusters\" {\n  type = map(object({\n    name     = string\n    provider = string  # eks, gke, aks\n    region   = string\n    max_cpu  = number\n  }))\n}\n\n# Then reference the appropriate module per provider\n```\n\n## Error Handling\n\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| IAM role error | Missing permissions | Check CAST AI IAM docs for required policies |\n| Module version conflict | Terraform lock | Run `terraform init -upgrade` |\n| Cluster not appearing | Wrong credentials | Verify cloud provider auth |\n| Policies not applying | JSON encoding error | Validate `jsonencode()` output |\n\n## Resources\n\n- [EKS Module](https:\u002F\u002Fregistry.terraform.io\u002Fmodules\u002Fcastai\u002Feks-cluster\u002Fcastai\u002Flatest)\n- [GKE Module](https:\u002F\u002Fregistry.terraform.io\u002Fmodules\u002Fcastai\u002Fgke-cluster\u002Fcastai\u002Flatest)\n- [AKS Module](https:\u002F\u002Fregistry.terraform.io\u002Fmodules\u002Fcastai\u002Faks\u002Fcastai\u002Flatest)\n- [CAST AI Terraform Provider](https:\u002F\u002Fregistry.terraform.io\u002Fproviders\u002Fcastai\u002Fcastai\u002Flatest\u002Fdocs)\n\n## Next Steps\n\nFor webhook-based automation, see `castai-webhooks-events`.\n\n","# CAST AI Deploy Integration\n\n## Overview\n\nDeploy 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.\n\n## Prerequisites\n\n- Terraform 1.0+\n- CAST AI Full Access API key\n- Cloud provider credentials configured\n- Existing Kubernetes cluster\n\n## Instructions\n\n### EKS Deployment\n\n```hcl\n# main.tf -- EKS cluster onboarding\nmodule \"castai_eks\" {\n  source  = \"castai\u002Feks-cluster\u002Fcastai\"\n  version = \"~> 3.0\"\n\n  api_token           = var.castai_api_token\n  aws_account_id      = data.aws_caller_identity.current.account_id\n  aws_cluster_region  = var.region\n  aws_cluster_name    = var.cluster_name\n\n  # IAM role for CAST AI to manage nodes\n  aws_instance_profile_arn = aws_iam_instance_profile.castai.arn\n\n  # Autoscaler configuration\n  autoscaler_policies_json = jsonencode({\n    enabled = true\n    unschedulablePods = { enabled = true }\n    nodeDownscaler = {\n      enabled = true\n      emptyNodes = { enabled = true, delaySeconds = 300 }\n    }\n    spotInstances = {\n      enabled = true\n      spotDiversityEnabled = true\n    }\n    clusterLimits = {\n      enabled = true\n      cpu = { minCores = 4, maxCores = 200 }\n    }\n  })\n\n  # Node templates\n  default_node_configuration = module.castai_eks.castai_node_configurations[\"default\"]\n}\n```\n\n### GKE Deployment\n\n```hcl\nmodule \"castai_gke\" {\n  source  = \"castai\u002Fgke-cluster\u002Fcastai\"\n  version = \"~> 2.0\"\n\n  api_token            = var.castai_api_token\n  project_id           = var.gcp_project_id\n  gke_cluster_name     = var.cluster_name\n  gke_cluster_location = var.region\n\n  gke_credentials = base64decode(\n    google_container_cluster.this.master_auth[0].cluster_ca_certificate\n  )\n\n  autoscaler_policies_json = jsonencode({\n    enabled = true\n    unschedulablePods = { enabled = true }\n    nodeDownscaler = {\n      enabled = true\n      emptyNodes = { enabled = true, delaySeconds = 300 }\n    }\n  })\n}\n```\n\n### AKS Deployment\n\n```hcl\nmodule \"castai_aks\" {\n  source  = \"castai\u002Faks\u002Fcastai\"\n  version = \"~> 1.0\"\n\n  api_token              = var.castai_api_token\n  aks_cluster_name       = var.cluster_name\n  aks_cluster_region     = var.region\n  node_resource_group    = azurerm_kubernetes_cluster.this.node_resource_group\n  azure_subscription_id  = data.azurerm_subscription.current.subscription_id\n  azure_tenant_id        = data.azurerm_client_config.current.tenant_id\n\n  autoscaler_policies_json = jsonencode({\n    enabled = true\n    unschedulablePods = { enabled = true }\n    spotInstances = { enabled = true }\n  })\n}\n```\n\n### Multi-Cluster Deployment Pattern\n\n```hcl\n# Deploy CAST AI across all clusters with a for_each\nvariable \"clusters\" {\n  type = map(object({\n    name     = string\n    provider = string  # eks, gke, aks\n    region   = string\n    max_cpu  = number\n  }))\n}\n\n# Then reference the appropriate module per provider\n```\n\n## Error Handling\n\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| IAM role error | Missing permissions | Check CAST AI IAM docs for required policies |\n| Module version conflict | Terraform lock | Run `terraform init -upgrade` |\n| Cluster not appearing | Wrong credentials | Verify cloud provider auth |\n| Policies not applying | JSON encoding error | Validate `jsonencode()` output |\n\n## Resources\n\n- [EKS Module](https:\u002F\u002Fregistry.terraform.io\u002Fmodules\u002Fcastai\u002Feks-cluster\u002Fcastai\u002Flatest)\n- [GKE Module](https:\u002F\u002Fregistry.terraform.io\u002Fmodules\u002Fcastai\u002Fgke-cluster\u002Fcastai\u002Flatest)\n- [AKS Module](https:\u002F\u002Fregistry.terraform.io\u002Fmodules\u002Fcastai\u002Faks\u002Fcastai\u002Flatest)\n- [CAST AI Terraform Provider](https:\u002F\u002Fregistry.terraform.io\u002Fproviders\u002Fcastai\u002Fcastai\u002Flatest\u002Fdocs)\n\n## Next Steps\n\nFor webhook-based automation, see 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