Production Application

Your production application runs on AWS and its resources are defined in the workspace/prd_resources.py file. This guide shows how to:

1. Build a production image
2. Update ECS Task Definitions
3. Update ECS Services

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Workspace Settings

The WorkspaceSettings object in the workspace/settings.py file defines common settings used by your workspace apps and resources.

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Build your production image

Your application uses the phidata images by default. To use your own image:

• Create a Repository in ECR and authenticate or use Dockerhub.
• Open workspace/settings.py file
• Update the image_repo to your image repository
• Set build_images=True and push_images=True
• Optional - Set build_images=False and push_images=False to use an existing image in the repository

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Create an ECR Repository

To use ECR, create the image repo and authenticate with ECR before pushing images.

1. Create the image repository in ECR

The repo name should match the ws_name. Meaning if you’re using the default workspace name, the repo name would be ai.

2. Authenticate with ECR

aws ecr get-login-password --region [region] | docker login --username AWS --password-stdin [account].dkr.ecr.[region].amazonaws.com

You can also use a helper script to avoid running the full command

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Update the WorkspaceSettings

ws_settings = WorkspaceSettings(
    ...
    # Subnet IDs in the aws_region
    subnet_ids=["subnet-xyz", "subnet-xyz"],
    # -*- Image Settings
    # Repository for images
    image_repo="your-image-repo",
    # Build images locally
    build_images=True,
    # Push images after building
    push_images=True,
)

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Build a new image

Build the production image using:

To force rebuild images, use the --force or -f flag

Because the only docker resources in the production env are docker images, you can also use:

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ECS Task Definition

If you updated the Image, CPU, Memory or Environment Variables, update the Task Definition using:

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ECS Service

To redeploy the production application, update the ECS Service using: