Deploy to AWS ECS with AWS CodePipeline


Terraform and AWS ECS

This document assumes you’re using Terraform to modify and deploy your AWS instructure. If you’re not using Terraform yet, you can set it up by reading this document.

This document also assumes that you have already set up your ECS cluster, services, and tasks.

  • If you are not using ECS to run Mage, then this document will not apply for you. You can submit a feature request in our Slack channel if you want Mage to support deploying to your infrastructure through AWS CodePipeline.
  • If you have not set up your ECS yet, you can check out this document to set it up with Terraform.

AWS CodeCommit

The pipeline that is created through the Terraform scripts has a AWS CodeCommit repo as a source. You will need to have a CodeCommit repo already set up that has your Mage repository code.

Your CodeCommit repository should have a Dockerfile in the top level of your CodeCommit. Here is a reference Dockerfile that you can use for your own Dockerfile.

You will also need to add a buildspec.yml file to your repository. The buildspec.yml file can follow the following format:

version: 0.2

      - echo Logging in to Amazon ECR...
      - aws ecr get-login-password --region $AWS_DEFAULT_REGION | docker login --username AWS --password-stdin $AWS_ACCOUNT_ID.dkr.ecr.$
      - echo Build started on `date`
      - echo Building the Docker image...          
      - docker build -t $IMAGE_REPO_NAME:$IMAGE_TAG .
      - echo Build completed on `date`
      - echo Pushing the Docker image...
      - docker push $AWS_ACCOUNT_ID.dkr.ecr.$$IMAGE_REPO_NAME:$IMAGE_TAG


One pipeline created by the script will push a Docker build to AWS ECR, and the other pipeline will read from the same AWS ECR repo. Make sure you have already created your AWS ECR repository.

Setting up AWS CodePipeline pipeline with Terraform

Use Terraform scripts in aws-code-pipeline folder to provision resources for AWS CodePipeline.

Terraform plan

You can run the following command to see all the resources that will be created by Terraform:

cd aws
terraform plan

1. Environment variables

If you don’t have the AWS CLI installed, you’ll need to create this file: ~/.aws/credentials.

In that file, add the following values:

aws_access_key_id = XXX
aws_secret_access_key = XXX

Alternatively, you can install the AWS CLI by following Amazon’s instructions.

2. Customize Terraform variables

In the file ./aws/, you will need to update the default values for the following variables:

AWS settings

variable "AWS_ACCESS_KEY_ID" {
  type    = string
  default = "AWS_ACCESS_KEY_ID"

  type    = string

variable "aws_region" {
  type        = string
  description = "AWS Region"
  default     = "us-west-2"

variable "aws_account_id" {
  type        = string
  description = "AWS Account ID"
  default     = "12345678910"

S3 bucket name

variable "s3_bucket_name" {
  type        = string
  description = "S3 bucket to store pipeline artifacts"
  default     = "s3-bucket-name"

Code pipeline name (optional)

variable "code_pipeline_name" {
  type        = string
  description = "Name for AWS CodePipeline"
  default     = "mage-codepipeline"

ECR repo values

variable "ecr_repo_name" {
  type        = string
  description = "ECR repo name"
  default     = "ecr-repo-name"

variable "ecr_image_tag" {
  type        = string
  description = "ECR docker image tag"
  default     = "latest"

ECS values

variable "ecs_cluster_name" {
  type        = string
  description = "ECS cluster name"
  default     = "ecs-cluster-name"

variable "ecs_service_name" {
  type        = string
  description = "ECS service name"
  default     = "ecs-service-name"

variable "ecs_container_name" {
  type        = string
  description = "ECS container name"
  default     = "ecs-container-name"

variable "ecs_task_role_name" {
  type        = string
  description = "ECS execution task role name"
  default     = "ecs-task-role-name"

AWS CodeCommit values

variable "codecommit_repo_name" {
  type        = string
  description = "Codecommit repo name"
  default     = "codecommit_repo_name"

variable "codecommit_branch" {
  type        = string
  description = "Codecommit repo branch"
  default     = "main"

3. IAM Permissions

The IAM permissions are defined in the aws-code-pipeline/ file. Make adjustments to the permissions as needed.

4. Apply Terraform

Using CLI

  1. Change directory into scripts folder:
    cd aws-code-pipeline
  2. Initialize Terraform:
    terraform init
    • If you run into errors like the following:
      │ Error: Failed to install provider
      │ Error while installing hashicorp/template v2.2.0: the local package for 2.2.0 doesn't match any of the checksums previously recorded in the dependency lock file (this might be because the available checksums are for packages targeting different
      │ platforms); for more information:
      then run the following commands to resolve this:
      brew install kreuzwerker/taps/m1-terraform-provider-helper
      m1-terraform-provider-helper activate
      m1-terraform-provider-helper install hashicorp/template -v v2.2.0
      rm .terraform.lock.hcl
      terraform init --upgrade
  3. Deploy:
    terraform apply


After running the Terraform script, you should see two AWS CodePipeline pipelines created, mage-codepipeline and mage-codepipeline-ecr (unless you changed the code_pipeline_name variable). The mage-codepipeline pipeline will be triggered every time a change is detected in the AWS CodeCommit repo. The mage-codepipeline-ecr pipeline will be triggered every time a new image is pushed with into the AWS ECR repo.