Mastering Kubernetes Pod Topology Spread Constraints: Why Pods Stay Pending
This article explains Kubernetes pod topology spread constraints, breaks down its key fields, shows how to combine them with affinity rules, and provides troubleshooting steps for pods stuck in Pending state due to scheduling constraints.
While deploying a component I noticed its pods remained in Pending because the scheduler could not satisfy the pod topology spread constraints that had been added.
What is topologySpreadConstraints ?
It is a field in the Pod spec that controls how pods are distributed across topology domains.
spec:
topologySpreadConstraints:
- maxSkew: <integer>
topologyKey: <string>
whenUnsatisfiable: <string>
labelSelector: <object>For beginners, focus on the four basic fields:
labelSelector : selects pods with matching labels; the scheduler counts matching pods per topology domain.
topologyKey : defines the topology domain, usually a node label such as zone or kubernetes.io/hostname.
maxSkew : the maximum allowed difference in the number of matching pods between domains; a smaller value enforces a more even spread.
whenUnsatisfiable : action when the skew exceeds maxSkew. Options are DoNotSchedule (default) or ScheduleAnyway.
The following diagram illustrates these concepts:
Pod topology constraints can be combined with affinity/anti‑affinity rules for richer scheduling behavior. Example:
affinity:
podAntiAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
- labelSelector:
matchLabels:
app.kubernetes.io/name: app-server
topologyKey: kubernetes.io/hostname
schedulerName: default-scheduler
topologySpreadConstraints:
- maxSkew: 1
topologyKey: topology.kubernetes.io/zone
whenUnsatisfiable: DoNotSchedule
labelSelector:
matchLabels:
app.kubernetes.io/instance: app-server
app.kubernetes.io/name: app-serverThis configuration prevents pods with matching labels from being placed on the same node (anti‑affinity) while trying to spread them evenly across zones (topology spread). In a two‑node cluster where both nodes belong to the same zone, the constraints cannot be satisfied, so both pods remain Pending.
To resolve the issue, either increase maxSkew to 2 or change whenUnsatisfiable to ScheduleAnyway .
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