In the previous part we created our network stack. In this part we will configure the GKE Autopilot cluster.
The following resources will be created:
- GKE Autopilot Cluster
GKE Autopilot Cluster
Our GKE Autopilot Cluster is hosted in the Web subnet. The public API server endpoint can only be accessed from a specific range of IP addresses.
Create the terraform file infra/plan/gke.tf
:
resource "google_container_cluster" "private" {
provider = google-beta
name = "private"
location = var.region
network = google_compute_network.custom.name
subnetwork = google_compute_subnetwork.web.id
private_cluster_config {
enable_private_endpoint = false
enable_private_nodes = true
master_ipv4_cidr_block = var.gke_master_ipv4_cidr_block
}
master_authorized_networks_config {
dynamic "cidr_blocks" {
for_each = var.authorized_source_ranges
content {
cidr_block = cidr_blocks.value
}
}
}
maintenance_policy {
recurring_window {
start_time = "2021-06-18T00:00:00Z"
end_time = "2050-01-01T04:00:00Z"
recurrence = "FREQ=WEEKLY"
}
}
# Enable Autopilot for this cluster
enable_autopilot = true
# Configuration of cluster IP allocation for VPC-native clusters
ip_allocation_policy {
cluster_secondary_range_name = "pods"
services_secondary_range_name = "services"
}
# Configuration options for the Release channel feature, which provide more control over automatic upgrades of your GKE clusters.
release_channel {
channel = "REGULAR"
}
}
Complete the file infra/plan/variable.tf
:
variable "gke_master_ipv4_cidr_block" {
type = string
default = "172.23.0.0/28"
}
Let's deploy our cluster
cd infra/plan
gcloud services enable container.googleapis.com --project $PROJECT_ID
terraform apply
Let's check if the cluster has been created and is working correctly:
GKE Autopilot cluster
Conclusion
Our GKE cluster is now active. In the next part, we will focus on setting up the Cloud SQL instance.
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