8f6a3cd93d
Enhance resource management and configuration in Laborious worker - Updated `values.yaml` to define resource limits and requests for better performance tuning. - Modified environment variables in `worker.py` to support resource-based scaling and improved task queue management. - Introduced new functions for creating resource tuners and poller behaviors, enhancing scalability and efficiency in handling workloads.