@Marvin How do you reduce the cpu usage of locally deployed prefect on ec2 ?

To reduce CPU usage when running Prefect on an EC2 instance, consider the following strategies: 1. Adjust Resource Allocations for ECS Tasks: When deploying Prefect with AWS ECS, ensure that your CPU and memory allocations are set optimally for your workload. Adjust these values to be as small as possible while still achieving your performance requirements. ECS Guide 2. Optimize Your Workflows: Review your Prefect workflows and optimize any tasks that have a high CPU demand. This could involve simplifying complex calculations, reducing the size of the data processed, or optimizing the code. 3. Scale Efficiently: Use auto-scaling features provided by AWS to increase or decrease the capacity of your EC2 instances based on demand, avoiding overprovisioning resources. 4. Use Efficient Scheduling: Schedule Prefect tasks during times when the EC2 instance has lower usage, to spread out the CPU load. 5. Caching and Reusing Results: Enable result caching for tasks that do not need to be re-computed. This will save CPU cycles by avoiding redundant computations. 6. Performance Monitoring: Monitor your EC2 instance performance using AWS CloudWatch to identify when and why high CPU usage occurs, and refine your deployment strategy accordingly. Since Prefect 2.x is new and doesn't have a lot of documentation yet, you might have to experiment with the settings and monitor their impact on performance. If you have specific questions on tuning Prefect 2.x or if the problem persists after trying these strategies, consider searching for GitHub issues or reaching out to the Prefect community for help.