Why Are Pods Not Evenly Distributed to Nodes?
The kube-scheduler component in Kubernetes is responsible pod scheduling. For each newly created pod or other unscheduled pods, kube-scheduler selects an optimal node from them to run on. kube-scheduler selects a node for a pod in a 2-step operation: filtering and scoring. In the filtering step, all nodes where it is feasible to schedule the pod are filtered out. In the scoring step, kube-scheduler ranks the remaining nodes to choose the most suitable pod placement. Finally, kube-scheduler schedules the pod to the node with the highest score. If there is more than one node with the equal scores, kube-scheduler selects one of them at random.
BalancedResourceAllocation is only one of the scoring priorities. Other scoring items may also cause uneven distribution. For details about scheduling, see Kubernetes Scheduler and Scheduling Policies.
Scheduling Policies FAQs
- How Do I Evenly Distribute Multiple Pods to Each Node?
- How Do I Prevent a Container on a Node from Being Evicted?
- Why Are Pods Not Evenly Distributed to Nodes?
- How Do I Evict All Pods on a Node?
- How Do I Check Whether a Pod Is Bound with CPU Cores?
- What Should I Do If Pods cannot Be Rescheduled After the Node Is Stopped?
- How Do I Prevent a Non-GPU or NPU Workload from Being Scheduled to a GPU or NPU Node?
- Why Cannot a Pod Be Scheduled to a Node?
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