Binding Percona Server for MongoDB components to Specific Kubernetes/OpenShift Nodes¶
The operator does a good job of automatically assigning new pods to nodes to achieve balanced distribution across the cluster. There are situations when you must ensure that pods land on specific nodes: for example, for the advantage of speed on an SSD-equipped machine, or reduce costs by choosing nodes in the same availability zone.
The appropriate (sub)sections (
of the deploy/cr.yaml
file contain the keys which can be used to do assign pods to nodes.
nodeSelector contains one or more key-value pairs. If the node is not
labeled with each key-value pair from the Pod’s
nodeSelector, the Pod will not
be able to land on it.
The following example binds the Pod to any node having a self-explanatory
disktype: ssd label:
nodeSelector: disktype: ssd
Affinity and anti-affinity¶
Affinity defines eligible pods that can be scheduled on the node which already has pods with specific labels. Anti-affinity defines pods that are not eligible. This approach is reduces costs by ensuring several pods with intensive data exchange occupy the same availability zone or even the same node or, on the contrary, to spread the pods on different nodes or even different availability zones for high availability and balancing purposes.
Percona Operator for MongoDB provides two approaches for doing this:
- simple way to set anti-affinity for Pods, built-in into the Operator,
- more advanced approach based on using standard Kubernetes constraints.
Simple approach - use antiAffinityTopologyKey of the Percona Operator for MongoDB¶
Percona Operator for MongoDB provides an
antiAffinityTopologyKey option, which
may have one of the following values:
kubernetes.io/hostname- Pods will avoid residing within the same host,
failure-domain.beta.kubernetes.io/zone- Pods will avoid residing within the same zone,
failure-domain.beta.kubernetes.io/region- Pods will avoid residing within the same region,
none- no constraints are applied.
The following example forces Percona Server for MongoDB Pods to avoid occupying the same node:
affinity: antiAffinityTopologyKey: "kubernetes.io/hostname"
Advanced approach - use standard Kubernetes constraints¶
The previous method can be used without special knowledge of the Kubernetes way
of assigning Pods to specific nodes. Still, in some cases, more complex
tuning may be needed. In this case, the
advanced option placed in the
file turns off the effect of the
antiAffinityTopologyKey and allows
the use of the standard Kubernetes affinity constraints of any complexity:
affinity: advanced: podAffinity: requiredDuringSchedulingIgnoredDuringExecution: - labelSelector: matchExpressions: - key: security operator: In values: - S1 topologyKey: failure-domain.beta.kubernetes.io/zone podAntiAffinity: preferredDuringSchedulingIgnoredDuringExecution: - weight: 100 podAffinityTerm: labelSelector: matchExpressions: - key: security operator: In values: - S2 topologyKey: kubernetes.io/hostname nodeAffinity: requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: - matchExpressions: - key: kubernetes.io/e2e-az-name operator: In values: - e2e-az1 - e2e-az2 preferredDuringSchedulingIgnoredDuringExecution: - weight: 1 preference: matchExpressions: - key: another-node-label-key operator: In values: - another-node-label-value
See explanation of the advanced affinity options in Kubernetes documentation.
Tolerations allow Pods having them to be able to land onto nodes with matching
taints. Toleration is expressed as a
key with and
operator, which is
equal (the equal variant requires a corresponding
Toleration should have a specified
effect, such as the following:
NoSchedule- less strict
When a taint with the
NoExecute effect is assigned to a Node, any Pod
configured to not tolerating this taint is removed from the node. This removal
can be immediate or after the
tolerationSeconds interval. The following
example defines this effect and the removal interval:
tolerations: - key: "node.alpha.kubernetes.io/unreachable" operator: "Exists" effect: "NoExecute" tolerationSeconds: 6000
The Kubernetes Taints and Toleratins contains more examples on this topic.
Pods may belong to some priority classes. This flexibility allows the
scheduler to distinguish more and less important Pods when needed, such as the
situation when a higher priority Pod cannot be scheduled without evicting a
lower priority one. This ability can be accomplished by adding one or more
PriorityClasses in your Kubernetes cluster, and specifying the
PriorityClassName in the deploy/cr.yaml
See the Kubernetes Pods Priority and Preemption documentation to find out how to define and use priority classes in your cluster.
Pod Disruption Budgets¶
Creating the Pod Disruption Budget
is the Kubernetes method to limit the number of Pods of an application that can
go down simultaneously due to voluntary disruptions such as the cluster
administrator’s actions during a deployment update. Distribution Budgets allow
large applications to retain their high availability during maintenance and
other administrative activities. The
in the deploy/cr.yaml
file can be used to set these limits. The recommended variant is the following:
podDisruptionBudget: maxUnavailable: 1
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