Deploy CAST AI across multi-cloud Kubernetes clusters with Terraform modules. Use when onboarding EKS, GKE, or AKS clusters to CAST AI using infrastructure-as-code patterns. Trigger with phrases like "deploy cast ai", "cast ai eks", "cast ai gke", "cast ai aks", "cast ai terraform module".
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.
# 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"]
}
module "castai_gke" {
source = "castai/gke-cluster/castai"
version = "~> 2.0"
api_token = var.castai_api_token
project_id = var.gcp_project_id
gke_cluster_name = var.cluster_name
gke_cluster_location = var.region
gke_credentials = base64decode(
google_container_cluster.this.master_auth[0].cluster_ca_certificate
)
autoscaler_policies_json = jsonencode({
enabled = true
unschedulablePods = { enabled = true }
nodeDownscaler = {
enabled = true
emptyNodes = { enabled = true, delaySeconds = 300 }
}
})
}
module "castai_aks" {
source = "castai/aks/castai"
version = "~> 1.0"
api_token = var.castai_api_token
aks_cluster_name = var.cluster_name
aks_cluster_region = var.region
node_resource_group = azurerm_kubernetes_cluster.this.node_resource_group
azure_subscription_id = data.azurerm_subscription.current.subscription_id
azure_tenant_id = data.azurerm_client_config.current.tenant_id
autoscaler_policies_json = jsonencode({
enabled = true
unschedulablePods = { enabled = true }
spotInstances = { enabled = true }
})
}
# Deploy CAST AI across all clusters with a for_each
variable "clusters" {
type = map(object({
name = string
provider = string # eks, gke, aks
region = string
max_cpu = number
}))
}
# Then reference the appropriate module per provider
| Issue | Cause | Solution |
|---|---|---|
| IAM role error | Missing permissions | Check CAST AI IAM docs for required policies |
| Module version conflict | Terraform lock | Run terraform init -upgrade |
| Cluster not appearing | Wrong credentials | Verify cloud provider auth |
| Policies not applying | JSON encoding error | Validate jsonencode() output |
For webhook-based automation, see castai-webhooks-events.