Running in multiple zones
This page describes running Kubernetes across multiple zones.
Kubernetes is designed so that a single Kubernetes cluster can run across multiple failure zones, typically where these zones fit within a logical grouping called a region. Major cloud providers define a region as a set of failure zones (also called availability zones) that provide a consistent set of features: within a region, each zone offers the same APIs and services.
Typical cloud architectures aim to minimize the chance that a failure in one zone also impairs services in another zone.
Control plane behavior
All control plane components support running as a pool of interchangeable resources, replicated per component.
When you deploy a cluster control plane, place replicas of control plane components across multiple failure zones. If availability is an important concern, select at least three failure zones and replicate each individual control plane component (API server, scheduler, etcd, cluster controller manager) across at least three failure zones. If you are running a cloud controller manager then you should also replicate this across all the failure zones you selected.
Kubernetes automatically spreads the Pods for workload resources (such as Deployment or StatefulSet) across different nodes in a cluster. This spreading helps reduce the impact of failures.
When nodes start up, the kubelet on each node automatically adds labels to the Node object that represents that specific kubelet in the Kubernetes API. These labels can include zone information.
If your cluster spans multiple zones or regions, you can use node labels in conjunction with Pod topology spread constraints to control how Pods are spread across your cluster among fault domains: regions, zones, and even specific nodes. These hints enable the scheduler to place Pods for better expected availability, reducing the risk that a correlated failure affects your whole workload.
For example, you can set a constraint to make sure that the 3 replicas of a StatefulSet are all running in different zones to each other, whenever that is feasible. You can define this declaratively without explicitly defining which availability zones are in use for each workload.
Distributing nodes across zones
Kubernetes' core does not create nodes for you; you need to do that yourself, or use a tool such as the Cluster API to manage nodes on your behalf.
Using tools such as the Cluster API you can define sets of machines to run as worker nodes for your cluster across multiple failure domains, and rules to automatically heal the cluster in case of whole-zone service disruption.
Manual zone assignment for Pods
You can apply node selector constraints to Pods that you create, as well as to Pod templates in workload resources such as Deployment, StatefulSet, or Job.
Storage access for zones
When persistent volumes are created, the
automatically adds zone labels to any PersistentVolumes that are linked to a specific
zone. The scheduler then ensures,
NoVolumeZoneConflict predicate, that pods which claim a given PersistentVolume
are only placed into the same zone as that volume.
You can specify a StorageClass for PersistentVolumeClaims that specifies the failure domains (zones) that the storage in that class may use. To learn about configuring a StorageClass that is aware of failure domains or zones, see Allowed topologies.
By itself, Kubernetes does not include zone-aware networking. You can use a
to configure cluster networking, and that network solution might have zone-specific
elements. For example, if your cloud provider supports Services with
type=LoadBalancer, the load balancer might only send traffic to Pods running in the
same zone as the load balancer element processing a given connection.
Check your cloud provider's documentation for details.
For custom or on-premises deployments, similar considerations apply. Service and Ingress behavior, including handling of different failure zones, does vary depending on exactly how your cluster is set up.
When you set up your cluster, you might also need to consider whether and how
your setup can restore service if all the failure zones in a region go
off-line at the same time. For example, do you rely on there being at least
one node able to run Pods in a zone?
Make sure that any cluster-critical repair work does not rely on there being at least one healthy node in your cluster. For example: if all nodes are unhealthy, you might need to run a repair Job with a special toleration so that the repair can complete enough to bring at least one node into service.
Kubernetes doesn't come with an answer for this challenge; however, it's something to consider.
To learn how the scheduler places Pods in a cluster, honoring the configured constraints, visit Scheduling and Eviction.