@Marvin I am trying to understand the tradeoffs between push and pull workpools.

In Prefect 3.x, work pools are used to manage the distribution and execution of flows across different environments. They are akin to pub/sub topics, coordinating deployments with workers through a known channel. The primary distinction between push and pull models in work pools lies in how work is distributed and acquired: 1. Push Workpool: In this model, the work is actively pushed to workers. This might be useful in scenarios where you have a centralized control system that assigns tasks to specific workers based on certain criteria or priorities. 2. Pull Workpool: Here, workers actively pull tasks from the pool. This model is beneficial when workers are distributed or when you want them to autonomously decide when to take on new tasks, often based on their current load or capacity. Each model has its own set of tradeoffs, and the choice between them depends on your specific infrastructure and workflow requirements. The pull model is generally more scalable and fault-tolerant, as workers can dynamically adjust to the available workload. On the other hand, the push model can offer more centralized control and potentially faster task dispatching under certain conditions. For more details, you can explore the Prefect documentation on work pools here.

Okay, so I am using AWS ECS. If I chose push workpools, I'm guessing I would be using spot instances. These instances would then both orchestrate and handle the execution of "flows" - is that correct @Marvin?

When using AWS ECS with Prefect's push workpools, your setup would involve instances that both orchestrate and execute flows. Here's how it generally works: 1. Task Execution: You can configure your ECS work pool with a task definition ARN. This allows the worker to use the specified ECS Task for execution. You have the option to use either EC2 or Fargate as the capacity provider. EC2 can reduce setup time, while Fargate simplifies initiation but increases setup time for each flow run. 2. Spot Instances: If you're utilizing spot instances, they would handle both the orchestration and execution tasks. Spot instances are cost-effective but may be interrupted, so ensure your workflows can handle such interruptions gracefully. 3. Orchestration and Execution: The ECS worker will poll the work pool for tasks and execute them as per the configurations defined in your task definition. This setup allows for dynamic scaling and efficient resource management across your ECS cluster. For more detailed guidance on setting up ECS work pools with Prefect, you can refer to the ECS guide.