Based on your AWS setup with PostgreSQL (using a db.t4g.small instance), I'll recommend the most suitable worker configuration. For an AWS-hosted Prefect Server, I recommend using the Prefect ECS Push work pool. Here's why: 1. Cost Efficiency: - ECS Push workers only spin up resources when needed - This aligns well with your choice of a t4g.small instance for PostgreSQL, suggesting cost consciousness - You only pay for actual compute time during flow runs 2. Setup Options: - AWS Fargate (Recommended): Fully managed, serverless option - EC2: Alternative if you need faster startup times or specific instance types 3. Implementation Steps:

bash
# Create an ECS Push work pool
prefect work-pool create "my-ecs-pool" --type ecs:push

# Create a deployment using the work pool
prefect deploy my_flow.py:my_flow --name my-deployment --pool my-ecs-pool

4. Prerequisites: - AWS CLI installed and configured - Appropriate IAM roles and permissions - An ECS cluster (can be created via AWS Console or IaC) 5. Best Practices: - Configure appropriate task role permissions - Set resource limits in your work pool configuration - Use container image caching to improve startup times The ECS Push work pool is particularly well-suited for your PostgreSQL-based setup as it provides: - Seamless integration with your existing AWS infrastructure - Automatic scaling based on workload - Native connection to your PostgreSQL database - Cost-effective resource utilization For detailed setup instructions and configuration options, you can refer to the ECS Integration Guide. Would you like more specific details about any part of this setup, such as IAM permissions or ECS task definitions?