AWS Landing Zone is
a solution that helps customers more quickly set up a secure, multi-account
AWS environment based on AWS best practices. This repository contains
terraform module landing_zone_reader
that allows read-only access and
view into resources managed by terraform module landing_zone
.
RELATED: terraform module landing_zone
To get started, simply include the following terraform codebase:
module "landing_zone_reader" {
source = "MitocGroup/landing-zone-reader/aws"
version = "0.0.1"
landing_zone_providers = var.landing_zone_providers
landing_zone_components = var.landing_zone_components
terraform_backend_type = var.terraform_backend_type
terraform_backend_config = var.terraform_backend_config
terraform_reader_config = var.terraform_reader_config
}
NOTE: Make sure to include
variables.tf
and optionallyterraform.tfvars
To simplify and make it easier to understand, we included default values in terraform.tfvars
:
landing_zone_providers = {
default = {
account_id = "123456789012"
region = "us-east-1"
}
[...]
}
landing_zone_components = {
landing_zone_vpc = "s3://terraform-aws-landing-zone/components/landing_zone_vpc/*.tfvars"
[...]
}
terraform_backend_type = "s3"
terraform_backend_config = {
bucket = "terraform-aws-landing-zone"
key = "terraform/landing_zone_reader_output/terraform.tfstate"
region = "us-east-1"
}
terraform_reader_config = true
NOTE: Placeholder
[...]
from above is used to suggest that similar syntax can be added. Remove it or update in order to have valid HCL / terraform configuration.
This means that before you use this terraform module, you will need to:
- Change
landing_zone_providers
to values that describe your AWS Organization accountdefault
reflects the default setup corresponding to AWS Organization account; add more providers by extendinglanding_zone_providers
map with extra AWS accounts and/or AWS regionsaccount_id
reflects the AWS account used to deploy AWS resources; prevents provisioning AWS resources into wrong AWS account in case of valid AWS credentialsregion
reflects the AWS region used to deploy AWS resources; create 2 different providers for the same AWS account, but different AWS regions
- Change
landing_zone_components
to values that fit into your AWS Landing Zone use case- each key from
landing_zone_components
map represents the name of the component from this list of available components - each value from
landing_zone_components
map represents the path to.tfvars
file on S3 and/or local disk- each
.tfvars
file must use HCL format; DO NOT USE other formats like JSON or YAML
- each
- each key from
- Change
terraform_backend_type
andterraform_backend_config
to values that reflect your terraform backend where.tfstate
files are stored (invariables.tf
default parameter value is defined aslocal
)
Terraform module for AWS Landing Zone solution is up to 10 lines of code that receives a list of .tfvars
files as input variables which describe providers (to be read: AWS accounts and AWS regions) and configs (to be read: AWS resources)
This implementation engages microservices architecture, allowing any component to be replaced with another component (or multiple components)
Existing AWS resources created by your team can be reused programmatically as read only values by other teams' terraform configurations
Existing AWS resources in your current AWS account(s) can be imported and reused without downtime by this terraform module via terraform import
command
Some customers were avoiding in the past AWS Landing Zone because it doesn't support some kind of 3rd party SSO solution or 3rd party Logging solution. By using terraform, we can easily bring those solutions into AWS Landing Zone as a set of components and empower customers to continue using best practices of both worlds
- By removing the need for access to AWS root account(s)
- By using IAM cross-account roles and/or STS temporary credentials
- By enabling centralized CloudTrail logs and cross-region replication of CloudTrail logs
- By empowering complex organizations to separate roles and responsibilities (e.g. InfoSec team can place explicit deny on IAM, VPC, SG and STS for other teams and/or other environments like production or pre-production)