The author discusses building a scheduling system similar to fly.io, introducing the concept of worker constraints like CPU, Memory, and region which ensure that tasks are only scheduled in specific conditions. The code provided includes support for region and slots as requirements, enabling tasks to be scheduled based on these criteria. The system can be extended to include additional requirements like CPU architecture and GPU support. However, the author notes that the system lacks production readiness features like timeouts and proper error handling. Overall, the post presents a comprehensive guide on task scheduling and offers potential avenues for future development.
https://www.aspiring.dev/fly-io-scheduler-part-2/