A landing zone is a well-defined and secure architecture on a cloud platform that serves as a starting point for an organization's cloud adoption journey. It typically includes a set of foundational resources, such as virtual private clouds (VPCs), subnets, security groups, and identity and access management (IAM) policies, that are required to establish a secure and stable environment for running applications and workloads on the cloud.
A landing zone on Google Cloud Platform (GCP) is a set of resources that are created and configured in a specific way to meet the organization's security and compliance requirements, as well as to support its future cloud adoption strategy. These resources can include VPCs, subnets, firewall rules, IAM policies, and other cloud services that are needed to build and deploy applications on GCP.
The main purpose of a landing zone is to provide a secure and compliant environment for organizations to migrate their applications and workloads to the cloud, and to enable them to quickly and easily scale and manage their cloud infrastructure as their needs evolve over time. It serves as a foundation for an organization's cloud infrastructure and helps to ensure that it is well-architected, reliable, and secure.
# Configure the Google Cloud provider
provider "google" {
# Your GCP project ID
project = "my-gcp-project"
# The region where you want to create your resources
region = "us-central1"
}
# Create a VPC network
resource "google_compute_network" "my-vpc" {
name = "my-vpc"
auto_create_subnetworks = "true"
}
# Create a subnet
resource "google_compute_subnetwork" "my-subnet" {
name = "my-subnet"
network = google_compute_network.my-vpc.self_link
ip_cidr_range = "10.0.0.0/16"
# The region where you want to create your subnet
region = "us-central1"
}
# Create a firewall rule
resource "google_compute_firewall" "allow-ssh" {
name = "allow-ssh"
network = google_compute_network.my-vpc.self_link
allow {
protocol = "tcp"
ports = ["22"]
}
source_ranges = ["0.0.0.0/0"]
}
You can then use this script as a starting point and customize it to meet your specific requirements. For example, you can add additional resources, such as Compute Engine instances or Cloud Storage buckets, and define their properties and dependencies.
