code for article pfeilbr/terraform-playground
learn and experiment with Terraform
followed Packer GETTING STARTED docs
Notes
- Execution Plans - describing what it will do and asks for your approval before making any infrastructure changes. This allows you to review changes before Terraform creates, updates, or destroys infrastructure.
- Resource Graph - Terraform builds a resource graph and creates or modifies non-dependent resources in parallel.
Module Demo
- see mymodule01
cd mymodule01/examples/app01
terraform init
terraform plan
terraform apply -auto-approve
Resources
- represent infrastructure objects
- each resource type is implemented by a provider, which is a plugin for Terraform that offers a collection of resource types
- Meta-Arguments
depends_on
count
- creates that many instances of the resource or modulefor_each
- value is a map or a set of strings, Terraform will create one instance for each member of that map or setprovider
- use to override tf default provider. e.g. you want to change the region for a given resourcelifecycle
provisioner
andconnection
Syntax
resource TYPE NAME {
BODY
}
Data Sources
Terraform Language
- use hcl or json to declare
- Blocks - containers for other content and usually represent the configuration of some kind of object
- Arguments - assign a value to a name
- Expressions - represent a value, either literally or by referencing and combining other values
State
- by default state is stored locally in
*.tfstate
file (the default backend) - when multiple people or clients are collaborating on infra via tf, state can be stored in a remote backend
- e.g. state for aws can be stored in S3 and a dynamodb table is used for locking when the state is shared amongst many people and/or systems
terraform { backend "s3" { # Replace this with your bucket name! bucket = "terraform-up-and-running-state" key = "global/s3/terraform.tfstate" region = "us-east-2" # Replace this with your DynamoDB table name! dynamodb_table = "terraform-up-and-running-locks" encrypt = true } }
- Workspaces - allow you to store your Terraform state in multiple, separate, named workspaces
CLI
# plan
terraform plan
# apply
terraform apply -auto-approve
# validate
terraform validate
# show outputs
terraform output
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