Prerequisites Node Labels Topology spread constraints rely on node labels to identify the topology domain(s) that each Node. You can use topology spread constraints to control how Pods are spread across your Amazon EKS cluster among failure-domains such as availability zones,. This document details some special cases,. g. It has to be defined in the POD's spec, read more about this field by running kubectl explain Pod. 8. 1 API 变化. A cluster administrator can address this issue by specifying the WaitForFirstConsumer mode which will delay the binding and provisioning of a PersistentVolume until a Pod using the PersistentVolumeClaim is created. kubernetes. You can set cluster-level constraints as a default, or configure. You can set cluster-level constraints as a default, or configure topology. This can help to achieve high availability as well as efficient resource utilization. See Pod Topology Spread Constraints for details. 9. // (1) critical paths where the least pods are matched on each spread constraint. io/master: }, that the pod didn't tolerate. A node may be a virtual or physical machine, depending on the cluster. 8. Single-Zone storage backends should be provisioned. For example, a. 你可以使用 拓扑分布约束（Topology Spread Constraints） 来控制 Pod 在集群内故障域之间的分布， 例如区域（Region）、可用区（Zone）、节点和其他用户自定义拓扑域。 这样做有助于实现高可用并提升资源利用率。 你可以将集群级约束设为默认值，或为个别工作负载配置拓扑分布约束。 动机 假设你有. operator. Here when I scale upto 4 pods, all the pods are equally distributed across 4 nodes i. are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. FEATURE STATE: Kubernetes v1. This can help to achieve high availability as well as efficient resource utilization. When you specify the resource request for containers in a Pod, the kube-scheduler uses this information to decide which node to place the Pod on. For example, a node may have labels like this: region: us-west-1 zone: us-west-1a Dec 26, 2022. This is different from vertical. Pods are the smallest deployable units of computing that you can create and manage in Kubernetes. A Pod's contents are always co-located and co-scheduled, and run in a. The keys are used to lookup values from the pod labels, those key-value labels are ANDed. This can help to achieve high availability as well as efficient resource utilization. Possible Solution 2: set minAvailable to quorum-size (e. // An empty preFilterState object denotes it's a legit state and is set in PreFilter phase. In addition to this, the workload manifest will specify a node selector rule for pods to be scheduled to compute resources managed by the. constraints that can be defined at the cluster level and are applied to pods that don't explicitly define spreading constraints. 19, Pod topology spread constraints went to general availability (GA). This entry is of the form <service-name>. Using topology spread constraints to overcome the limitations of pod anti-affinity The Kubernetes documentation states: "You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. In Kubernetes, a HorizontalPodAutoscaler automatically updates a workload resource (such as a Deployment or StatefulSet), with the aim of automatically scaling the workload to match demand. ここまで見るととても便利に感じられますが、Zone分散を実現する上で課題があります。. The default cluster constraints as of. // - Delete. Pod Topology Spread Constraintsを使ってPodのZone分散を実現することができました。. 9. ingressNSPodMatchLabels Pod labels to match to allow traffic from other namespaces: ingressNSMatchLabels: {} ingressNSPodMatchLabels: {}kube-scheduler selects a node for the pod in a 2-step operation: Filtering: finds the set of Nodes where it's feasible to schedule the Pod. io. A Pod's contents are always co-located and co-scheduled, and run in a. Instead, pod communications are channeled through a. It is recommended to run this tutorial on a cluster with at least two. But the pod anti-affinity allows you to better control it. Affinities and anti-affinities are used to set up versatile Pod scheduling constraints in Kubernetes. What you expected to happen: kube-scheduler satisfies all topology spread constraints when they can be satisfied. You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. Both match on pods labeled foo:bar, specify a skew of 1, and do not schedule the pod if it does not. 2686. We are currently making use of pod topology spread contraints, and they are pretty. You can set cluster-level constraints as a. kubectl describe endpoints <service-name> To find out those IPs. Nodes that also have a Pod with the. kube-scheduler is only aware of topology domains via nodes that exist with those labels. This scope allows for grouping all containers in a pod to a common set of NUMA nodes. Sorted by: 1. It allows to set a maximum difference of a number of similar pods between the nodes (maxSkew parameter) and to determine the action that should be performed if the constraint cannot be met:There are some CPU consuming pods already. If not, the pods will not deploy. This can help to achieve high availability as well as efficient resource utilization. Both match on pods labeled foo:bar , specify a skew of 1 , and do not schedule the pod if it does not meet these requirements. See Pod Topology Spread Constraints for details. 1. This can help to achieve high availability as well as efficient resource utilization. This can help to achieve high availability as well as efficient resource utilization. Tolerations allow scheduling but don't. providing a sabitical to the other one that is doing nothing. Typically you have several nodes in a cluster; in a learning or resource-limited environment, you. Make sure the kubernetes node had the required label. Both match on pods labeled foo:bar , specify a skew of 1 , and do not schedule the pod if it does not meet these requirements. It is like the pod anti-affinity which can be replaced by pod topology spread constraints allowing more granular control for your pod distribution. This is useful for ensuring high availability and fault tolerance of applications running on Kubernetes clusters. Sebelum lanjut membaca, sangat disarankan untuk memahami PersistentVolume terlebih dahulu. Both match on pods labeled foo:bar , specify a skew of 1 , and do not schedule the pod if it does not meet these requirements. 2. Distribute Pods Evenly Across The Cluster. There are three popular options: Pod (anti-)affinity. When implementing topology-aware routing, it is important to have pods balanced across the Availability Zones using Topology Spread Constraints to avoid imbalances in the amount of traffic handled by each pod. By assigning pods to specific node pools, setting up Pod-to-Pod dependencies, and defining Pod topology spread, one can ensure that applications run efficiently and smoothly. Example pod topology spread constraints Expand section "3. Pod topology spread constraints: Topology spread constraints can be used to spread pods over different failure domains such as nodes and AZs. You can use pod topology spread constraints to control how Prometheus, Thanos Ruler, and Alertmanager pods are spread across a network topology when OpenShift Container Platform pods are deployed in. This able help to achieve hi accessory how well as efficient resource utilization. {"payload":{"allShortcutsEnabled":false,"fileTree":{"content/en/docs/concepts/workloads/pods":{"items":[{"name":"_index. The name of an Ingress object must be a valid DNS subdomain name. DataPower Operator pods fail to schedule, stating that no nodes match pod topology spread constraints (missing required label). You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. Default PodTopologySpread Constraints allows you to specify spreading for all the workloads in the cluster, tailored for its topology. Pod topology spread constraints are suitable for controlling pod scheduling within hierarchical topologies in which nodes are spread across different infrastructure levels, such as regions and zones within those regions. However, there is a better way to accomplish this - via pod topology spread constraints. Note that by default ECK creates a k8s_node_name attribute with the name of the Kubernetes node running the Pod, and configures Elasticsearch to use this attribute. Or you have not at all set anything which. For user-defined monitoring, you can set up pod topology spread constraints for Thanos Ruler to fine tune how pod replicas are scheduled to nodes across zones. Figure 3. The maxSkew of 1 ensures a. Labels can be used to organize and to select subsets of objects. It allows to set a maximum difference of a number of similar pods between the nodes ( maxSkew parameter) and to determine the action that should be performed if the constraint cannot be met: There are some CPU consuming pods already. In a large scale K8s cluster, such as 50+ worker nodes, or worker nodes are located in different zone or region, you may want to spread your workload Pods to different nodes, zones or even regions. 사용자는 kubectl explain Pod. You can set cluster-level constraints as a default, or configure topology spread constraints for individual workloads. The latter is known as inter-pod affinity. If the tainted node is deleted, it is working as desired. If you want to have your pods distributed among your AZs, have a look at pod topology. Perform the following steps to specify a topology spread constraint in the Spec parameter in the configuration of a pod or the Spec parameter in the configuration. The most common resources to specify are CPU and memory (RAM); there are others. For this, we can set the necessary config in the field spec. Using Pod Topology Spread Constraints. io/zone. string. e. Note. Steps to Reproduce the Problem. “Topology Spread Constraints. Certificates; Managing Resources;If different nodes in your cluster have different types of GPUs, then you can use Node Labels and Node Selectors to schedule pods to appropriate nodes. Part 2. io/zone is standard, but any label can be used. Performs a best effort revert of changes made to this host by 'kubeadm init' or 'kubeadm join' Synopsis Performs a best effort revert of changes made to this host by 'kubeadm init' or 'kubeadm join' The "reset" command executes the following phases: preflight Run reset pre-flight checks remove-etcd-member Remove a local etcd member. 0/15 nodes are available: 12 node(s) didn't match pod topology spread constraints (missing required label), 3 node(s) had taint {node-role. kind. You can set cluster-level constraints as a default, or configure topology spread constraints for individual workloads. This can help to achieve high availability as well as efficient resource utilization. Pod topology spread constraints. In my k8s cluster, nodes are spread across 3 az's. topologySpreadConstraints , which describes exactly how pods will be created. topologySpreadConstraints (string: "") - Pod topology spread constraints for server pods. 19 [stable] You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. By specifying a spread constraint, the scheduler will ensure that pods are either balanced among failure domains (be they AZs or nodes), and that failure to balance pods results in a failure to schedule. are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. This means that if there is one instance of the pod on each acceptible node, the constraint allows putting. Node replacement follows the "delete before create" approach, so pods get migrated to other nodes and the newly created node ends up almost empty (if you are not using topologySpreadConstraints) In this scenario I can't see other options but setting topology spread constraints to the ingress controller, but it's not supported by the chart. Topology spread constraints can be satisfied. Pods are the smallest deployable units of computing that you can create and manage in Kubernetes. For example: Pod Topology Spread Constraints Topology Domain の間で Pod 数の差が maxSkew の値を超えないように 配置する Skew とは • Topology Domain 間での Pod 数の差のこと • Skew = 起動している Pod 数 ‒ Topology Domain 全体における最⼩起動 Pod 数 + 1 FEATURE STATE: Kubernetes v1. Using inter-pod affinity, you assign rules that inform the scheduler’s approach in deciding which pod goes to which node based on their relation to other pods. The first option is to use pod anti-affinity. Specifically, it tries to evict the minimum number of pods required to balance topology domains to within each constraint's maxSkew . This can help to achieve high availability as well as efficient resource utilization. For this, we can set the necessary config in the field spec. This can help to achieve high availability as well as efficient resource utilization. For example: # Label your nodes with the accelerator type they have. 예시: 단수 토폴로지 분배 제약 조건 4개 노드를 가지는 클러스터에 foo:bar 가 레이블된 3개의 파드가 node1, node2 그리고 node3에 각각 위치한다고 가정한다( P 는. 12. The second pod is running on node 2, corresponding to eastus2-3, and the third one in node 4, in eastus2-2. 1. A cluster administrator can address this issue by specifying the WaitForFirstConsumer mode which will delay the binding and provisioning of a PersistentVolume until a Pod using the PersistentVolumeClaim is created. Distribute Pods Evenly Across The Cluster The topology spread constraints rely on node labels to identify the topology domain(s) that each worker Node is in. Source: Pod Topology Spread Constraints Learn with an example on how to use topology spread constraints a feature of Kubernetes to distribute the Pods workload across the cluster nodes in an. intervalSeconds. Pods. Tolerations allow the scheduler to schedule pods with matching taints. Pod Topology Spread Constraints. 8: Leverage Pod Topology Spread Constraints One of the core responsibilities of OpenShift is to automatically schedule pods on nodes throughout the cluster. io/master: }, that the pod didn't tolerate. When we talk about scaling, it’s not just the autoscaling of instances or pods. example-template. The first constraint distributes pods based on a user-defined label node , and the second constraint distributes pods based on a user-defined label rack . Additionally, by being able to schedule pods in different zones, you can improve network latency in certain scenarios. A Pod's contents are always co-located and co-scheduled, and run in a. Under NODE column, you should see the client and server pods are scheduled on different nodes. a, b, or . 12, admins have the ability to create new alerting rules based on platform metrics. int. <namespace-name>. They are a more flexible alternative to pod affinity/anti. For example, if the variable is set to seattle, kubectl get pods would return pods in the seattle namespace. Control how pods are spread across your cluster. In this section, we’ll deploy the express-test application with multiple replicas, one CPU core for each pod, and a zonal topology spread constraint. Version v1. You are right topology spread constraints is good for one deployment. You first label nodes to provide topology information, such as regions, zones, and nodes. topologySpreadConstraints 를 실행해서 이 필드에 대한 자세한 내용을 알 수 있다. 3. Pod topology spread constraints. It heavily relies on configured node labels, which are used to define topology domains. You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, or among any other topology domains that you define. kubernetes. A Pod's contents are always co-located and co-scheduled, and run in a. Additionally, by being able to schedule pods in different zones, you can improve network latency in certain scenarios. To set the query log file for Prometheus in the openshift-monitoring project : Edit the cluster-monitoring-config ConfigMap object in the openshift-monitoring project: $ oc -n openshift. md file where you want the diagram to appear. The major difference is that Anti-affinity can restrict only one pod per node, whereas Pod Topology Spread Constraints can. unmanagedPodWatcher. See moreConfiguring pod topology spread constraints. svc. A Pod represents a set of running containers on your cluster. This will likely negatively impact. Compared to other. You can set cluster-level constraints as a default, or configure topology spread constraints for individual workloads. Prerequisites Node Labels Topology. DeploymentPod トポロジー分散制約を使用して、OpenShift Container Platform Pod が複数のアベイラビリティーゾーンにデプロイされている場合に、Prometheus、Thanos Ruler、および Alertmanager Pod がネットワークトポロジー全体にどのように分散されるかを制御できま. Major cloud providers define a region as a set of failure zones (also called availability zones) that. kube-apiserver [flags] Options --admission-control. In fact, Karpenter understands many Kubernetes scheduling constraint definitions that developers can use, including resource requests, node selection, node affinity, topology spread, and pod. Then in Confluent component. This can help to achieve high availability as well as efficient resource utilization. You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. Pod Topology Spread Constraints 以 Pod 级别为粒度进行调度控制； Pod Topology Spread Constraints 既可以是 filter，也可以是 score； 3. Pod Topology Spread Constraintsを使ってPodのZone分散を実現することができました。. OKD administrators can label nodes to provide topology information, such as regions, zones, nodes, or other user-defined domains. For example:Topology Spread Constraints. Similar to pod anti-affinity rules, pod topology spread constraints allow you to make your application available across different failure (or topology) domains like hosts or AZs. Manages the deployment and scaling of a set of Pods, and provides guarantees about the ordering and uniqueness of these Pods. Pod topology spread constraints are suitable for controlling pod scheduling within hierarchical topologies in which nodes are spread across different infrastructure levels, such as regions and zones within those regions. Pod Scheduling Readiness; Pod Topology Spread Constraints; Taints and Tolerations; Scheduling Framework; Dynamic Resource Allocation; Scheduler Performance Tuning;. Finally, the labelSelector field specifies a label selector that is used to select the pods that the topology spread constraint should apply to. Both match on pods labeled foo:bar , specify a skew of 1 , and do not schedule the pod if it does not meet these requirements. Configuring pod topology spread constraints 3. Prerequisites Node. The following steps demonstrate how to configure pod topology. By assigning pods to specific node pools, setting up Pod-to-Pod dependencies, and defining Pod topology spread, one can ensure that applications run efficiently and smoothly. Our theory is that the scheduler "sees" the old pods when deciding how to spread the new pods over nodes. Additionally, by being able to schedule pods in different zones, you can improve network latency in certain scenarios. An Ingress needs apiVersion, kind, metadata and spec fields. For this topology spread to work as expected with the scheduler, nodes must already. That is, the Topology Manager treats a pod as a whole and attempts to allocate the entire pod (all containers) to either a single NUMA node or a. You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. We specify which pods to group together, which topology domains they are spread among, and the acceptable skew. In this case, the DataPower Operator pods can fail to schedule, and will display the status message: no nodes match pod topology spread constraints (missing required label). 27 and are. Your sack use topology spread constraints to control how Pods is spread over your crowd among failure-domains so as regions, zones, nodes, real other user-defined overlay domains. Now suppose min node count is 1 and there are 2 nodes at the moment, first one is totally full of pods. In Kubernetes, a HorizontalPodAutoscaler automatically updates a workload resource (such as a Deployment or StatefulSet), with the aim of automatically scaling the workload to match demand. Configuring pod topology spread constraints for monitoring. You can set cluster-level constraints as a default, or configure topology. Now when I create one deployment (replica 2) with topology spread constraints as ScheduleAnyway then since 2nd node has enough resources both the pods are deployed in that node. With topology spread constraints, you can pick the topology and choose the pod distribution (skew), what happens when the constraint is unfulfillable (schedule anyway vs don't) and the interaction with pod affinity and taints. About pod topology spread constraints 3. This requires K8S >= 1. This example Pod spec defines two pod topology spread constraints. For example, to ensure that:Pod topology spread constraints control how pods are distributed across the Kubernetes cluster. # # Ref:. Get training, subscriptions, certifications, and more for partners to build, sell, and support customer solutions. A node may be a virtual or physical machine, depending on the cluster. What happened:. This can help to achieve high availability as well as efficient resource utilization. Workload authors don't. Step 2. string. EndpointSlices group network endpoints together. Access Red Hat’s knowledge, guidance, and support through your subscription. This can help to achieve high availability as well as efficient resource utilization. Yes 💡! You can use Pod Topology Spread Constraints, based on a label 🏷️ key on your nodes. For example:사용자는 kubectl explain Pod. Certificates; Managing Resources;This page shows how to assign a Kubernetes Pod to a particular node using Node Affinity in a Kubernetes cluster. This is different from vertical. Other updates for OpenShift Monitoring 4. They are a more flexible alternative to pod affinity/anti-affinity. ; AKS cluster level and node pools all running Kubernetes 1. If you configure a Service, you can select from any network protocol that Kubernetes supports. Pod topology spread constraints to spread the Pods across availability zones in the Kubernetes cluster. Use kubectl top to fetch the metrics for the Pod: kubectl top pod cpu-demo --namespace=cpu-example. OpenShift Container Platform administrators can label nodes to provide topology information, such as regions, zones, nodes, or other user. But you can fix this. The second constraint (topologyKey: topology. spread across different failure-domains such as hosts and/or zones). Topology Spread Constraints allow you to control how Pods are distributed across the cluster based on regions, zones, nodes, and other topology specifics. The first constraint distributes pods based on a user-defined label node , and the second constraint distributes pods based on a user-defined label rack . 220309 node pool. See Pod Topology Spread Constraints for details. As illustrated through examples, using node and pod affinity rules as well as topology spread constraints, can help distribute pods across nodes in a. kubernetes. 19 (OpenShift 4. Watching for pods that the Kubernetes scheduler has marked as unschedulable; Evaluating scheduling constraints (resource requests, nodeselectors, affinities, tolerations, and topology spread constraints) requested by the pods; Provisioning nodes that meet the requirements of the pods; Disrupting the nodes when. Wrap-up. This should be a multi-line YAML string matching the topologySpreadConstraints array in a Pod Spec. You might do this to improve performance, expected availability, or overall utilization. FEATURE STATE: Kubernetes v1. Within a namespace, a. unmanagedPodWatcher. apiVersion. You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. As time passed, we - SIG Scheduling - received feedback from users, and, as a result, we're actively working on improving the Topology Spread feature via three KEPs. 3. 賢く「散らす」ための Topology Spread Constraints #k8sjp / Kubernetes Meetup Tokyo 25th. For example, you can use topology spread constraints to distribute pods evenly across different failure domains (such as zones or regions) in order to reduce the risk of a single point of failure. matchLabelKeys is a list of pod label keys to select the pods over which spreading will be calculated. See Pod Topology Spread Constraints. bool. e. For example:Pod Topology Spread Constraints Topology Domain の間で Pod 数の差が maxSkew の値を超えないように 配置する Skew とは • Topology Domain 間での Pod 数の差のこと • Skew = 起動している Pod 数 ‒ Topology Domain 全体における最⼩起動. The feature can be paired with Node selectors and Node affinity to limit the spreading to specific domains. Running background tasks on nodes automatically with daemonsets; Running tasks in pods using jobs; Working with nodes. In this section, we’ll deploy the express-test application with multiple replicas, one CPU core for each pod, and a zonal topology spread constraint. This is useful for using the same. Pod Topology Spread Constraintsはスケジュール済みのPodが均等に配置しているかどうかを制御する. Pod Scheduling Readiness; Pod Topology Spread Constraints; Taints and Tolerations; Scheduling Framework; Dynamic Resource Allocation; Scheduler Performance Tuning;. Copy the mermaid code to the location in your . PersistentVolumes will be selected or provisioned conforming to the topology that is. Distribute Pods Evenly Across The Cluster. . spec. One of the kubernetes nodes should show you the name/ label of the persistent volume and your pod should be scheduled on the same node. Topology Aware Hints are not used when internalTrafficPolicy is set to Local on a Service. Topology Spread Constraints in Kubernetes are a set of rules that define how pods of the same application should be distributed across the nodes in a cluster. For instance:Controlling pod placement by using pod topology spread constraints" 3. md","path":"content/ko/docs/concepts/workloads. Restartable Batch Job: Concern: Job needs to complete in case of voluntary disruption. This can help to achieve high availability as well as efficient resource utilization. The latter is known as inter-pod affinity. You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. Pod topology spread constraints are suitable for controlling pod scheduling within hierarchical topologies in which nodes are spread across different infrastructure levels, such as regions and zones within those regions. Focus mode. {"payload":{"allShortcutsEnabled":false,"fileTree":{"content/ko/docs/concepts/workloads/pods":{"items":[{"name":"_index. Here we specified node. replicas. Any suggestions why this is happening?We recommend to use node labels in conjunction with Pod topology spread constraints to control how Pods are spread across zones. This can help to achieve high availability as well as efficient resource utilization. You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. 03. IPv4/IPv6 dual-stack networking enables the allocation of both IPv4 and IPv6 addresses to Pods and Services. Pod topology spread constraints enable you to control how pods are distributed across nodes, considering factors such as zone or region. A Pod represents a set of running containers on your cluster. ResourceQuotas limit resource consumption for a namespace. Additionally, by being able to schedule pods in different zones, you can improve network latency in certain scenarios. Otherwise, controller will only use SameNodeRanker to get ranks for pods. A Pod (as in a pod of whales or pea pod) is a group of one or more containers, with shared storage and network resources, and a specification for how to run the containers. io/hostname as a. Before topology spread constraints, Pod Affinity and Anti-affinity were the only rules to achieve similar distribution results. Add a topology spread constraint to the configuration of a workload. This document describes ephemeral volumes in Kubernetes. 3. 你可以使用 拓扑分布约束（Topology Spread Constraints） 来控制 {{< glossary_tooltip text="Pod" term_id="Pod. But as soon as I scale the deployment to 5 pods, the 5th pod is in pending state with following event msg: 4 node(s) didn't match pod topology spread constraints. kubernetes. yaml. You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. You can use topology spread constraints to control how Pods are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. You can set cluster-level constraints as a default, or configure topology spread constraints for individual workloads. This can help to achieve high availability as well as efficient resource utilization. {"payload":{"allShortcutsEnabled":false,"fileTree":{"content/en/docs/concepts/workloads/pods":{"items":[{"name":"_index. Enabling the feature may expose bugs. For example, caching services are often limited by memory. As illustrated through examples, using node and pod affinity rules as well as topology spread constraints, can help distribute pods across nodes in a way that balances. If the tainted node is deleted, it is working as desired. The server-dep k8s deployment is implementing pod topology spread constrains, spreading the pods across the distinct AZs. When. CredentialProviderConfig is the configuration containing information about each exec credential provider. matchLabelKeys is a list of pod label keys to select the pods over which spreading will be calculated. Pod topology spread constraints are suitable for controlling pod scheduling within hierarchical topologies in which nodes are spread across different infrastructure levels, such as regions and zones within those regions. A Pod's contents are always co-located and co-scheduled, and run in a. FEATURE STATE: Kubernetes v1. DeploymentHorizontal Pod Autoscaling. Background 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. So if, for example, you wanted to use topologySpreadConstraints to spread pods across zone-a, zone-b, and zone-c, if the Kubernetes scheduler has scheduled pods to zone-a and zone-b, but not zone-c, it would only spread pods across nodes in zone-a and zone-b and never create nodes on zone-c. So if, for example, you wanted to use topologySpreadConstraints to spread pods across zone-a, zone-b, and zone-c, if the Kubernetes scheduler has scheduled pods to zone-a and zone-b, but not zone-c, it would only spread pods across nodes in zone-a and zone-b and never create nodes on zone-c. Pod Topology Spread Constraints rely on node labels to identify the topology domain(s) that each Node is in, and then using these labels to match with the pods having the same labels.