Koordinator
A QoS-based scheduling system brings optimal layout and status to work
Koordinator is a modern scheduling system that colocates microservices, AI, and big data workloads on Kubernetes. It achieves high utilization by combining elastic resource quota, efficient pod-packing, over-commitment, and resource sharing with container resource isolation. Koordinator is high-performance, scalable, yet most importantly, proven in mass production environments. It allows you to build container orchestration systems that support enterprise production environments. Koordinator provides a range of options for customizing scheduling policies, allowing users to fine-tune the behavior of the system to suit their specific needs, such as Web Service, Spark, Presto, TensorFlow, Pytorch, etc. We provide a profile tool to help you manage workload scheduling policies, which allows to control scheduling policies without modifying the existing workload controller.