The Google Cloud Terraform provider now supports deployment of GKE Autopilot clusters, allowing users to automate node configuration and management, eliminating the need for manual intervention. This feature enables a hands-off approach to using Kubernetes on Google Cloud, maximizing cluster efficiency and reducing operational load. To use GKE Autopilot with HashiCorp Terraform, users must enable autopilot mode in their GKE cluster configuration, set up required credentials, and initialize the Terraform provider. The process involves creating a Terraform file that provisions a GKE Autopilot cluster, setting the correct version of the Google Cloud Terraform provider, replacing values in the terraform.tfvars file with project ID and region, initializing the Terraform workspace, and provisioning the GKE Autopilot cluster using `terraform apply`. Once deployed, users can review their cluster's settings and maintenance window. The feature is supported by a 99.95% SLA for the control plane of GKE Autopilot clusters and a 99.9% SLA for GKE Autopilot pods, reducing operational load required for managing clusters.