It seems the specific system configurations or hardware requirements for Prefect 3.0.8 aren't directly outlined in the documentation. However, Prefect generally runs well on a wide range of configurations given its scalable and flexible nature. You might want to consider the following general guidelines:
1.
Environment: Prefect can run in most environments that support Python, but it's typically run in containers or virtual environments for isolation.
2.
Memory and CPU: This depends heavily on the complexity of your workflows and the volume of data processed. Testing your specific use case is advised to determine the resources required.
3.
Storage: Ensure you have adequate disk space if your tasks generate or store large amounts of data.
4.
Network: Reliable network connectivity is essential, especially if Prefect agents are deployed in different environments from the orchestration server.
The documentation does highlight improvements in Prefect 3.0.8 related to performance and task execution, which might influence your infrastructure decisions.
For more detailed insights, check out the
upgrade guide to Prefect 3.0. If your workflows are advanced, you might need to adjust some configurations for optimal performance. Let me know if you have specific queries or need further details!