Amazon ECS agent configuration reference#

This reference describes the various configuration options Dagster Cloud currently supports for Amazon ECS agents.

Per-location configuration#

When adding a code location to Dagster Cloud with an Amazon ECS agent, you can use the container_context key on the location configuration to add additional ECS-specific configuration that will be applied to any ECS tasks associated with that code location.

Note: If you're using the Dagster Cloud Github action, the container_context key can also be set for each location in your dagster_cloud.yaml file.

The following example dagster_cloud.yaml file illustrates the available fields:

locations:
  - location_name: cloud-examples
    image: dagster/dagster-cloud-examples:latest
    code_source:
      package_name: dagster_cloud_examples
    container_context:
      ecs:
        env_vars:
          - DATABASE_NAME=staging
          - DATABASE_PASSWORD
        secrets:
          - name: "MY_API_TOKEN"
            valueFrom: "arn:aws:secretsmanager:us-east-1:123456789012:secret:FOO-AbCdEf:token::"
          - name: "MY_PASSWORD"
            valueFrom: "arn:aws:secretsmanager:us-east-1:123456789012:secret:FOO-AbCdEf:password::"
        secrets_tags:
          - "my_tag_name"

Environment variables and secrets#

Using the container_context.ecs.env_vars and container_context.ecs.secrets properties, you can configure environment variables and secrets for a specific code location.

# dagster_cloud.yaml

container_context:
  ecs:
    env_vars:
      - DATABASE_NAME=testing
      - DATABASE_PASSWORD
    secrets:
      - name: "MY_API_TOKEN"
        valueFrom: "arn:aws:secretsmanager:us-east-1:123456789012:secret:FOO-AbCdEf:token::"
      - name: "MY_PASSWORD"
        valueFrom: "arn:aws:secretsmanager:us-east-1:123456789012:secret:FOO-AbCdEf:password::"
    secrets_tags:
      - "my_tag_name"

Refer to the following guides for more info about environment variables:

• Dagster Cloud environment variables and secrets
• Using environment variables and secrets in Dagster code

Per-job configuration: Resource limits#

You can use job tags to customize the CPU and memory of every run for that job:

from dagster import job, op

@op()
def my_op(context):
  context.log.info('running')

@job(
  tags = {
    "ecs/cpu": "256",
    "ecs/memory": "512",
  }
)
def my_job():
  my_op()

Fargate tasks only support certain combinations of CPU and memory.

Per-deployment configuration#

This section describes the properties of the dagster.yaml configuration file used by Amazon ECS agents. Typically, this file is created by the CloudFormation template that deploys the agent and can be found within the agent task definition's command.

To change these properties, edit the CloudFormation template and redeploy the CloudFormation stack.

instance_class:
  module: dagster_cloud
  class: DagsterCloudAgentInstance

dagster_cloud_api:
  agent_token: <Agent Token String>
  deployment: <Deployment Name>
  branch_deployments: <true|false>

user_code_launcher:
  module: dagster_cloud.workspace.ecs
  class: EcsUserCodeLauncher
  config:
    cluster: <Cluster Name>
    subnets:
      - <Subnet Id 1>
      - <Subnet Id 2>
    security_group_ids:
      - <Security Group ID>
    service_discovery_namespace_id: <Service Discovery Namespace Id>
    execution_role_arn: <Task Execution Role Arn>
    task_role_arn: <Task Role Arn>
    log_group: <Log Group Name>
    launch_type: <"FARGATE"|"EC2">
    server_process_startup_timeout: <Timeout in seconds>

dagster_cloud_api properties#

user_code_launcher properties#