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Getting started with Continuous Deployment to AWS Elastic Container Service (FREE)

This step-by-step guide helps you use Continuous Deployment to ECS that deploys a project hosted on GitLab.com to Elastic Container Service (ECS) on AWS.

In this guide, you begin by creating an ECS cluster manually using the AWS console. You create and deploy a simple application that you create from a GitLab template.

These instructions work for both SaaS and self-managed GitLab instances. Ensure your own runners are configured.

Prerequisites

An AWS account. Sign in with an existing AWS account or create a new one.
In this guide, you create an infrastructure in us-east-2 region. You can use any region, but do not change it after you begin.

Create an infrastructure and initial deployment on AWS

For deploying an application from GitLab, you must first create an infrastructure and initial deployment on AWS. This includes an ECS cluster and related components, such as ECS task definitions, ECS services, and containerized application image.

For the first step here, you create a demo application from a project template.

Create a new project from a template

Use a GitLab project template to get started. As the name suggests, these projects provide a bare-bones application built on some well-known frameworks.

In GitLab, select the plus icon ({plus-square}) at the top of the navigation bar, and select New project.
Select Create from template, where you can choose from a Ruby on Rails, Spring, or NodeJS Express project. For this guide, use the Ruby on Rails template.
Give your project a name. In this example, it's named ecs-demo. Make it public so that you can take advantage of the features available in the GitLab Ultimate plan.
Select Create project.

Now that you created a demo project, you must containerize the application and push it to the container registry.

Push a containerized application image to GitLab Container Registry

ECS is a container orchestration service, meaning that you must provide a containerized application image during the infrastructure build. To do so, you can use GitLab Auto Build and Container Registry.

Go to ecs-demo project on GitLab.
Select Setup up CI/CD. It brings you to a .gitlab-ci.yml creation form.
Copy and paste the following content into the empty .gitlab-ci.yml. This defines a pipeline for continuous deployment to ECS.
```
include:
  - template: AWS/Deploy-ECS.gitlab-ci.yml
```
Select Commit Changes. It automatically triggers a new pipeline. In this pipeline, the build job containerizes the application and pushes the image to GitLab Container Registry.
Visit Packages & Registries > Container Registry. Make sure the application image has been pushed.

Now you have a containerized application image that can be pulled from AWS. Next, you define the spec of how this application image is used in AWS.

Note that the production_ecs job fails because ECS Cluster is not connected yet. You'll fix this later.

Create an ECS task definition

ECS Task definitions is a specification about how the application image is started by an ECS service.

Go to ECS > Task Definitions on AWS console.
Select Create new Task Definition.
Choose EC2 as the launch type. Select Next Step.
Set ecs_demo to Task Definition Name.
Set 512 to Task Size > Task memory and Task CPU.
Select Container Definitions > Add container. This opens a container registration form.
Set web to Container name.
Set registry.gitlab.com/<your-namespace>/ecs-demo/master:latest to Image. Alternatively, you can copy and paste the image path from the GitLab Container Registry page.
Add a port mapping. Set 80 to Host Port and 5000 to Container port.
Select Create.

Now you have the initial task definition. Next, you create an actual infrastructure to run the application image.

Create an ECS cluster

An ECS cluster is a virtual group of ECS services. It's also associated with EC2 or Fargate as the computation resource.

Go to ECS > Clusters on AWS console.
Select Create Cluster.
Select EC2 Linux + Networking as the cluster template. Select Next Step.
Set ecs-demo to Cluster Name.
Choose the default VPC in Networking. If there are no existing VPCs, you can leave it as-is to create a new one.
Set all available subnets of the VPC to Subnets.
Select Create.
Make sure that the ECS cluster has been successfully created.

Now you can register an ECS service to the ECS cluster in the next step.

Note the following:

Optionally, you can set a SSH key pair in the creation form. This allows you to SSH to the EC2 instance for debugging.
If you don't choose an existing VPC, it creates a new VPC by default. This could cause an error if it reaches the maximum allowed number of internet gateways on your account.
The cluster requires an EC2 instance, meaning it costs you according to the instance-type.

Create an ECS Service

ECS service is a daemon to create an application container based on the ECS task definition.

Go to ECS > Clusters > ecs-demo > Services on the AWS console
Select Deploy. This opens a service creation form.
Select EC2 in Launch Type.
Set ecs_demo to Task definition. This corresponds to the task definition you created above.
Set ecs_demo to Service name.
Set 1 to Desired tasks.
Select Deploy.
Make sure that the created service is active.

Note that AWS's console UI changes from time to time. If you can't find a relevant component in the instructions, select the closest one.

View the demo application

Now, the demo application is accessible from the internet.

Go to EC2 > Instances on the AWS console
Search by ECS Instance to find the corresponding EC2 instance that the ECS cluster created.
Select the ID of the EC2 instance. This brings you to the instance detail page.
Copy Public IPv4 address and paste it in the browser. Now you can see the demo application running.

In this guide, HTTPS/SSL is NOT configured. You can access to the application through HTTP only (for example, http://<ec2-ipv4-address>).

Setup Continuous Deployment from GitLab

Now that you have an application running on ECS, you can set up continuous deployment from GitLab.

Create a new IAM user as a deployer

For GitLab to access the ECS cluster, service, and task definition that you created above, You must create a deployer user on AWS:

Go to IAM > Users on AWS console.
Select Add user.
Set ecs_demo to User name.
Enable Programmatic access checkbox. Select Next: Permissions.
Select Attach existing policies directly in Set permissions.
Select AmazonECS_FullAccess from the policy list. Select Next: Tags and Next: Review.
Select Create user.
Take note of the Access key ID and Secret access key of the created user.

NOTE: Do not share the secret access key in a public place. You must save it in a secure place.

Setup credentials in GitLab to let pipeline jobs access to ECS

You can register the access information in GitLab Environment Variables. These variables are injected into the pipeline jobs and can access the ECS API.

Go to ecs-demo project on GitLab.
Go to Settings > CI/CD > Variables.

Select Add Variable and set the following key-value pairs.

Key	Value	Note
`AWS_ACCESS_KEY_ID`	`<Access key ID of the deployer>`	For authenticating `aws` CLI.
`AWS_SECRET_ACCESS_KEY`	`<Secret access key of the deployer>`	For authenticating `aws` CLI.
`AWS_DEFAULT_REGION`	`us-east-2`	For authenticating `aws` CLI.
`CI_AWS_ECS_CLUSTER`	`ecs-demo`	The ECS cluster is accessed by `production_ecs` job.
`CI_AWS_ECS_SERVICE`	`ecs_demo`	The ECS service of the cluster is updated by `production_ecs` job.
`CI_AWS_ECS_TASK_DEFINITION`	`ecs_demo`	The ECS task definition is updated by `production_ecs` job.

Make a change to the demo application

Change a file in the project and see if it's reflected in the demo application on ECS:

Go to ecs-demo project on GitLab.
Open the file at app > views > welcome > index.html.erb.
Select Edit.
Change the text to You're on ECS!.
Select Commit Changes. This automatically triggers a new pipeline. Wait until it finishes.
Access the running application on the ECS cluster. You should see this:

Congratulations! You successfully set up continuous deployment to ECS.

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