From castai-pack
Deploys CAST AI to EKS, GKE, AKS clusters using Terraform modules for IAM setup, node configuration, and autoscaler policies.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin castai-packThis skill is limited to using the following tools:
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.
Provides Terraform reference architecture for CAST AI multi-cluster Kubernetes deployments, including module structure, policies, and cost optimization configs.
Plans, creates, and configures production-ready Azure Kubernetes Service (AKS) clusters with Day-0 checklists, SKU selection, networking options, security, autoscaling, and cost analysis.
Guides on Azure Kubernetes Service (AKS) Automatic mode GA 2025: Karpenter autoscaling, HPA/VPA/KEDA, workload identity, networking, billing model, and cluster creation via az CLI.
Share bugs, ideas, or general feedback.
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.