@Marvin Trying to upgrade to use Workers, but I get this now.

botocore.errorfactory.ClientException: An error occurred (ClientException) when calling the RegisterTaskDefinition operation: Invalid setting for container 'prefect'. At least one of 'memory' or 'memoryReservation' must be specified.

. But I've listed memory both in the top-level variable and under

containerDefinitions

It appears you're encountering an issue with ECS task definition registration related to memory settings for your containers. Based on the search results, it's critical to ensure that the memory settings are correctly specified both at the task level and within the container definitions. Here's a distilled list of steps and considerations to ensure proper memory configuration in your ECS task definition: 1. Memory Settings: Both memory and memoryReservation must be correctly specified in the task definition for the

prefect

container. According to the AWS ECS documentation and common issues, at least one of these settings must be defined to avoid the

ClientException

. Here’s an example of how to set it:

json
{
    "containerDefinitions": [
        {
            "name": "prefect",
            "image": "your-image-name",
            "memory": 512, // specify memory here
            "cpu": 256, // optionally specify cpu
            "logConfiguration": {
                "logDriver": "awslogs",
                "options": {
                    "awslogs-create-group": "true",
                    "awslogs-group": "prefect",
                    "awslogs-region": "your-region",
                    "awslogs-stream-prefix": "prefect"
                }
            }
        }
    ],
    "memory": "512", // specify task-level memory here
    "family": "your-task-family",
    "executionRoleArn": "your-execution-role",
    "taskRoleArn": "your-task-role"
}

2. Example Resolution: Based on the GitHub issues and documentation, it's necessary to include these memory specifications within both the container definition and the task definition. 3. AWS Rate Limits: As a side note, you might also hit rate limits when frequently updating task definitions. Strategies for managing rate limits include careful monitoring of task definition creation and employing exponential backoff retries for task registration failures. 4. Prefect ECS Deployment: Ensure your Prefect ECS worker setup is aligned with the documentation to avoid misconfigurations that might lead to registration issues. For more detailed examples and additional context, you can refer to the ECS Worker Guide and relevant issue discussions: - ECS Worker Guide - Example and Discussions on GitHub By following these guidelines, you should be able to resolve the memory configuration issue in your ECS task definitions.