Getting started with Amazon ECS using Amazon Copilot

From within the demo-app directory, run the init command.

For Windows users, run the init command from the folder that contains the downloaded copilot.exe file.

copilot init

Amazon Copilot walks you through the setup of your first application and service with a series of terminal prompts, starting with next step. If you have already used Amazon Copilot to deploy applications, you're prompted to choose one from a list of application names.

Name your application.

What would you like to name your application? [? for help]

Enter demo.

You're prompted to choose a service type. You're building a simple Flask application that serves a small API.

Which service type best represents your service's architecture? [Use arrows to move, type to filter, ? for more help]
   > Load Balanced Web Service
     Backend Service
     Scheduled Job

Choose Load Balanced Web Service .

Provide a name for your service.

What do you want to name this Load Balanced Web Service? [? for help]

Enter api for your service name.

Select a Dockerfile.

Which Dockerfile would you like to use for api? [Use arrows to move, type to filter, ? for more help]
   > ./Dockerfile
     Use an existing image instead

Choose Dockerfile.

For Windows users, enter the path to the Dockerfile in the demo-app folder (*`...\demo-app\Dockerfile`*\.).

Define port.

Which port do you want customer traffic sent to? [? for help] (80)

Enter 80 or accept default.

You will see a log showing the application resources being created.

Creating the infrastructure to manage services under application demo.

After the application resources are created, deploy a test environment.

Would you like to deploy a test environment? [? for help] (y/N)

Enter y.

Proposing infrastructure changes for the test environment.

You will see a log displaying the status of your application deployment.

Note: It's best to run this command in the root of your Git repository.
Welcome to the Copilot CLI! We're going to walk you through some questions
to help you get set up with an application on ECS. An application is a collection of
containerized services that operate together.

Use existing application: No
Application name: demo
Workload type: Load Balanced Web Service
Service name: api
Dockerfile: ./Dockerfile
no EXPOSE statements in Dockerfile ./Dockerfile
Port: 80
Ok great, we'll set up a Load Balanced Web Service named api in application demo listening on port 80.

✔ Created the infrastructure to manage services under application demo.

✔ Wrote the manifest for service api at copilot/api/manifest.yml
Your manifest contains configurations like your container size and port (:80).

✔ Created ECR repositories for service api.

All right, you're all set for local development.
Deploy: Yes

✔ Created the infrastructure for the test environment.
- Virtual private cloud on 2 availability zones to hold your services     [Complete]
- Virtual private cloud on 2 availability zones to hold your services     [Complete]
  - Internet gateway to connect the network to the internet               [Complete]
  - Public subnets for internet facing services                           [Complete]
  - Private subnets for services that can't be reached from the internet  [Complete]
  - Routing tables for services to talk with each other                   [Complete]
- ECS Cluster to hold your services                                       [Complete]
✔ Linked account aws_account_id and region region to application demo.

✔ Created environment test in region region under application demo.                         
Environment test is already on the latest version v1.0.0, skip upgrade.
[+] Building 0.8s (7/7) FINISHED
 => [internal] load .dockerignore                                                                                  0.1s
 => => transferring context: 2B                                                                                    0.0s
 => [internal] load build definition from Dockerfile                                                               0.0s
 => => transferring dockerfile: 37B                                                                                0.0s
 => [internal] load metadata for docker.io/library/nginx:latest                                                    0.7s
 => [internal] load build context                                                                                  0.0s
 => => transferring context: 32B                                                                                   0.0s
 => [1/2] FROM docker.io/library/nginx@sha256:aeade65e99e5d5e7ce162833636f692354c227ff438556e5f3ed0335b7cc2f1b     0.0s
 => CACHED [2/2] COPY index.html /usr/share/nginx/html                                                             0.0s
 => exporting to image                                                                                             0.0s
 => => exporting layers                                                                                            0.0s
 => => writing image sha256:3ee02fd4c0f67d7bd808ed7fc73263880649834cbb05d5ca62380f539f4884c4                       0.0s
 => => naming to aws_account_id.dkr.ecr.region.amazonaws.com/demo/api:cee7709                                      0.0s
WARNING! Your password will be stored unencrypted in /home/user/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credentials-store

Login Succeeded
The push refers to repository [aws_account_id.dkr.ecr.region.amazonaws.com/demo/api]
592a5c0c47f1: Pushed
6c7de695ede3: Pushed
2f4accd375d9: Pushed
ffc9b21953f4: Pushed
cee7709: digest: sha_digest

✔ Deployed api, you can access it at http://demo-Publi-1OQ8VMS2VC2WG-561733989.region.elb.amazonaws.com.