You can choose to launch separate AWS ECS tasks to executor blocks by specifying block executor_type to be ecs in pipeline’s metadata.yaml file. There’re 2 ways to customize the ECS executor config,
  1. Specify the ecs_config in project’s metadata.yaml file. Example config: 
    ecs_config:
  cpu: 1024
  memory: 2048
    1. Add the executor_config at block level in pipeline’s metadata.yaml file. Example config:
    blocks:
- uuid: example_data_loader
  type: data_loader
  upstream_blocks: []
  downstream_blocks: []
  executor_type: ecs
  executor_config:
    cpu: 1024
    memory: 2048
To run the whole pipeline in one ECS executor, you can set the executor_type at pipeline level and set run_pipeline_in_one_process to true. executor_config can also be set at pipeline level. Here is the example pipeline metadata.yaml: 
blocks:
- ...
- ...
executor_type: ecs
run_pipeline_in_one_process: true
name: example_pipeline
...

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Configurations

Field nameDescriptionExample values
assign_public_ipWhether to assign public IP to the ECS task.true/false (default: true)
cpuThe CPU allocated to the ECS task.1024
enable_execute_commandWhether to enable execute command for debuggingtrue/false (default: false)
launch_typeThe launch type of the ECS task.FARGATE
memoryThe memory allocated to the ECS task.2048
tagsThe tags of the ECS task.[‘tag1’, ‘tag2’]
wait_timeoutThe maximum wait time for the ECS task (in seconds). The default wait timeout for the ECS task is 10 minutes. Setting to -1 will disable waiting.1200 (default: 600)

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Example

ecs_config:
  cpu: 1024
  memory: 2048
  assign_public_ip: false
  enable_execute_command: true
  wait_timeout: 1200

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IAM permissions

Required IAM permissions for using ECS executor: 
[
  "ec2:DescribeNetworkInterfaces",
  "ecs:DescribeTasks",
  "ecs:ListTasks",
  "ecs:RunTask",
  "iam:PassRole"
]

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Resource management

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