@Marvin can u elaborate on workpools and how they work? For example I have a local server with 100 nodes and then use a local work pool. Now if I run multiple flows with this work pool, how is it organized/parallelized?

Work pools in Prefect are designed to manage the distribution and execution of flows across different environments and infrastructures. They act like a pub/sub system, coordinating deployments with workers through a known channel, the pool itself. This setup allows for flexibility in choosing the best fit for your infrastructure and workflow requirements. When using a local work pool on a server with 100 nodes, the work pool organizes and parallelizes flow execution by distributing tasks to workers subscribed to the pool. Each worker will poll the pool for available work, and the pool manages the delivery of tasks to these workers. This enables multiple flows to run concurrently, leveraging the available nodes for parallel execution. If you need more information, you can read about work pools here. If you have specific needs or configurations, you can control the work pool's behavior using commands like pausing or resuming the pool, but note that pausing a pool doesn't stop the scheduling of deployments—only their execution. For further exploration of Prefect's API, you can delve into their top-level offerings, such as

flow

,

task

,

get_client

, and more, which are part of the core functionalities to manage flow and task execution.

@Marvin how many workers do I have when I have 100 nodes

The number of workers you have is not directly determined by the number of nodes you possess. In a setup with 100 nodes, you could theoretically have up to 100 workers, assuming each node runs a single worker. However, the actual number of workers depends on how you configure your system. Each node can run one or more workers, depending on the resources available and how you choose to allocate them. Workers are processes that poll the work pool for tasks to execute, so you can adjust the number of workers per node based on your performance and resource management needs. If you want specific guidance on configuring workers for your nodes, it would be best to consider your system's resource constraints and the nature of the tasks your flows will execute.