Application developers often need to
deploy Kubernetes resources into multiple clusters. Fleet operators often need
to pick the best clusters for placing the workloads based on heuristics such as
cost of compute in the clusters or available resources such as memory and CPU.
It's tedious to create, update, and track these Kubernetes resources across
multiple clusters manually.
Fleet now provides an intelligent resource
placement capability that can make scheduling decisions based on the following
properties: node count, cost of compute in target member clusters, and resource
(CPU/Memory) availability in target member clusters.
Learn more.