1. Backend declaration
The terraform block configures the backend that stores state; "s3" selects the remote backend type.
terraform {
backend "s3" {Typorithm · medium
Step 1 of 8 · intro card
State & Modules
A terraform backend "s3" block moves state off your laptop into a shared bucket, while dynamodb_table adds locking so two engineers can't apply at once.
By default Terraform writes terraform.tfstate locally, which breaks the moment a second person needs to apply — they have no copy of the truth.
A backend "s3" block stores that state in a shared bucket. bucket and key locate the object, and region tells Terraform how to reach it.
dynamodb_table turns on state locking: before an apply, Terraform writes a lock row; a concurrent apply sees the lock and waits, preventing the corruption two simultaneous writes would cause.
backend "s3" stores state remotely for the whole team.
bucket + key locate the state object.
dynamodb_table provides locking against concurrent applies.
terraform {
backend "s3" {
bucket = "tf-state"
key = "prod/terraform.tfstate"
region = "us-east-1"
dynamodb_table = "tf-locks"
}
}Connect each part of the code to the concept before you type.
The terraform block configures the backend that stores state; "s3" selects the remote backend type.
terraform {
backend "s3" {bucket names the S3 bucket that holds the shared state file for the whole team.
bucket = "tf-state"key is the object path inside the bucket, isolating this configuration's state from others.
key = "prod/terraform.tfstate"region tells Terraform where the S3 bucket lives so it can reach the backend.
region = "us-east-1"dynamodb_table enables state locking; a lock entry blocks a second apply from running concurrently.
dynamodb_table = "tf-locks"Read the concept map and follow the code breakdown.
Type the implementation, repair mistakes and work through every recall exercise.
Use the final check without hints; revisit weak concepts in short practice sessions.