I’m trying to run the following example: https://kubernetes.io/docs/tutorials/stateful-application/cassandra/ When I run on minikube, it runs well. But when I run on GKE, I see an error, 0/3 nodes are available: 3 Insufficient cpu.
Anyone can help me please?
Where I can increase CPU? On stateful_set or on kluster config?
I created my cluster with terraform, with the following configurations:
resource "google_container_cluster" "gcloud_cluster" {
name = "gcloud-cluster-${var.workspace}"
zone = "us-east1-b"
initial_node_count = 3
project = "${var.project}"
addons_config {
network_policy_config {
disabled = true
}
}
master_auth {
username = "${var.username}"
password = "${var.password}"
}
node_config {
oauth_scopes = [
"https://www.googleapis.com/auth/devstorage.read_only",
"https://www.googleapis.com/auth/logging.write",
"https://www.googleapis.com/auth/monitoring",
"https://www.googleapis.com/auth/service.management.readonly",
"https://www.googleapis.com/auth/servicecontrol",
"https://www.googleapis.com/auth/trace.append",
"https://www.googleapis.com/auth/compute",
]
}
}
Thanks
What is happening here is that by default your cluster is being created using n1-standard-1 machines which have only 1vCPU.
You should add to your config information about machine type you want to use i.e:
resource "google_container_cluster" "gcloud_cluster" {
name = "gcloud-cluster-${var.workspace}"
zone = "us-east1-b"
initial_node_count = 3
project = "${var.project}"
addons_config {
network_policy_config {
disabled = true
}
}
master_auth {
username = "${var.username}"
password = "${var.password}"
}
node_config {
machine_type = "${var.machine_type}"
oauth_scopes = [
"https://www.googleapis.com/auth/devstorage.read_only",
"https://www.googleapis.com/auth/logging.write",
"https://www.googleapis.com/auth/monitoring",
"https://www.googleapis.com/auth/service.management.readonly",
"https://www.googleapis.com/auth/servicecontrol",
"https://www.googleapis.com/auth/trace.append",
"https://www.googleapis.com/auth/compute",
]
}
}
and declare it in variable.tf file using either n1-standard-2 or n1-standard-4 i.e:
variable "machine_type" {
type = "string"
default = "n1-standard-4"
}