Pod Topology Spread Constraints — Example: one topology spread constraint
Suppose you have a 4-node cluster where 3 Pods labeled foo: bar are located in node1, node2 and node3 respectively graph BT subgraph "zoneB" p3(Pod) --> n3(Node3) n4(Node4) end subgraph "zoneA" p1(Pod) --> n1(Node1) p2(Pod) --> n2(Node2) end If you want an incoming Pod to be evenly spread with exist
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Suppose you have a 4-node cluster where 3 Pods labeled foo: bar are located in node1, node2 and node3 respectively
graph BT subgraph "zoneB" p3(Pod) --> n3(Node3) n4(Node4) end subgraph "zoneA" p1(Pod) --> n1(Node1) p2(Pod) --> n2(Node2) end
If you want an incoming Pod to be evenly spread with existing Pods across zones, you can use a manifest similar to
From that manifest, topologyKey: zone implies the even distribution will only be applied to nodes that are labeled zone: (nodes that don't have a zone label are skipped). The field whenUnsatisfiable: DoNotSchedule tells the scheduler to let the incoming Pod stay pending if the scheduler can't find a way to satisfy the constraint.
If the scheduler placed this incoming Pod into zone A, the distribution of Pods would become [3, 1]. That means the actual skew is then 2 (calculated as 3 - 1), which violates maxSkew: 1. To satisfy the constraints and context for this example, the incoming Pod can only be placed onto a node in zone B
graph BT subgraph "zoneB" p3(Pod) --> n3(Node3) p4(mypod) --> n4(Node4) end subgraph "zoneA" p1(Pod) --> n1(Node1) p2(Pod) --> n2(Node2) end
graph BT subgraph "zoneB" p3(Pod) --> n3(Node3) p4(mypod) --> n3 n4(Node4) end subgraph "zoneA" p1(Pod) --> n1(Node1) p2(Pod) --> n2(Node2) end
You can tweak the Pod spec to meet various kinds of requirements
Change maxSkew to a bigger value - such as 2 - so that the incoming Pod can be placed into zone A as well. Change topologyKey to node so as to distribute the Pods evenly across nodes instead of zones. In the above example, if maxSkew remains 1, the incoming Pod can only be placed onto the node node4. Change whenUnsatisfiable: DoNotSchedule to whenUnsatisfiable: ScheduleAnyway to ensure the incoming Pod to be always schedulable (suppose other scheduling APIs are satisfied). However, it's preferred to be placed into the topology domain which has fewer matching Pods. (Be aware that this preference is jointly normalized with other internal scheduling priorities such as resource usage ratio).
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Kubernetes Documentation — content/en/docs/concepts/scheduling-eviction/topology-spread-constraints.md :: Example: one topology spread constraint ↗Revision 6449f1eced66 · CC-BY-4.0 and attribution