By using topology spread constraints, you can control the placement of pods across your cluster in order to achieve various goals. Example pod topology spread constraints Expand section "3. kind. Namespaces and DNS. topologySpreadConstraints: - maxSkew: 1 topologyKey: kubernetes. Pod topology spread constraints¶ Using pod topology spread constraints, you can control the distribution of your pods across nodes, zones, regions, or other user-defined topology domains, achieving high availability and efficient cluster resource utilization. So, either removing the tag or replace 1 with. io/master: }, that the pod didn't tolerate. For example, we have 5 WorkerNodes in two AvailabilityZones. 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. A Pod's contents are always co-located and co-scheduled, and run in a. svc. resources: limits: cpu: "1" requests: cpu: 500m. The Platform team is responsible for domain specific configuration in Kubernetes such as Deployment configuration, Pod Topology Spread Constraints, Ingress or Service definition (based on protocol or other parameters), and other type of Kubernetes objects and configurations. Looking at the Docker Hub page there's no 1 tag there, just latest. {"payload":{"allShortcutsEnabled":false,"fileTree":{"content/en/docs/concepts/workloads/pods":{"items":[{"name":"_index. unmanagedPodWatcher. as the topologyKey in the pod topology spread. It allows to use failure-domains, like zones or regions or to define custom topology domains. io/hostname whenUnsatisfiable: DoNotSchedule matchLabelKeys: - app - pod-template-hash. 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. Sorted by: 1. 2. The maxSkew of 1 ensures a. md","path":"content/ko/docs/concepts/workloads. // an unschedulable Pod schedulable. Viewing and listing the nodes in your cluster; Working with. This is a built-in Kubernetes feature used to distribute workloads across a topology. Additionally, by being able to schedule pods in different zones, you can improve network latency in certain scenarios. Then you could look to which subnets they belong. This can help to achieve high availability as well as efficient resource utilization. In contrast, the new PodTopologySpread constraints allow Pods to specify skew levels that can be required (hard) or desired. Pod topology spread’s relation to other scheduling policies. 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 . By using the podAffinity and podAntiAffinity configuration on a pod spec, you can inform the Karpenter scheduler of your desire for pods to schedule together or apart with respect to different topology domains. Step 2. For example, we have 5 WorkerNodes in two AvailabilityZones. Here when I scale upto 4 pods, all the pods are equally distributed across 4 nodes i. Configuring pod topology spread constraints. 14 [stable] Pods can have priority. Learn about our open source products, services, and company. Additionally, by being able to schedule pods in different zones, you can improve network latency in certain scenarios. Plan your pod placement across the cluster with ease. By using a pod topology spread constraint, you provide fine-grained control over. Pod topology spread constraints. 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. local, which means that if a container only uses <service-name>, it will resolve to the service which is local to a namespace. the thing for which hostPort is a workaround. ingressNSPodMatchLabels Pod labels to match to allow traffic from other namespaces: ingressNSMatchLabels: {} ingressNSPodMatchLabels: {}Pod Topology Spread Constraints can be either a predicate (hard requirement) or a priority (soft requirement). 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. 8. You can use topology spread constraints to control how Pods A Pod represents a set of running containers in your cluster. io/zone is standard, but any label can be used. 19 (OpenShift 4. This is different from vertical. Viewing and listing the nodes in your cluster; Working with. In Kubernetes, an EndpointSlice contains references to a set of network endpoints. kube-apiserver [flags] Options --admission-control. The following lists the steps you should follow for adding a diagram using the Inline method: Create your diagram using the live editor. But you can fix this. kubernetes. Most operations can be performed through the. 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. 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. We propose the introduction of configurable default spreading constraints, i. Why use pod topology spread constraints? One possible use case is to achieve high availability of an application by ensuring even distribution of pods in multiple availability zones. Pod Topology Spread Constraints; Taints and Tolerations; Scheduling Framework; Dynamic Resource Allocation; Scheduler Performance Tuning; Resource Bin Packing; Pod Priority and Preemption; Node-pressure Eviction; API-initiated Eviction; Cluster Administration. Japan Rook Meetup #3(本資料では，前半にML環境で. 16 alpha. 21, allowing the simultaneous assignment of both IPv4 and IPv6 addresses. This example Pod spec defines two pod topology spread constraints. This can help to achieve high availability as well as efficient resource utilization. Warning: In a cluster where not all users are trusted, a malicious user could. 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 . 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. 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. The first option is to use pod anti-affinity. kubernetes. By default, containers run with unbounded compute resources on a Kubernetes cluster. EndpointSlices group network endpoints together. Open. config. The application consists of a single pod (i. The feature can be paired with Node selectors and Node affinity to limit the spreading to specific domains. With baseline amount of pods deployed in OnDemand node pool. 你可以使用 拓扑分布约束（Topology Spread Constraints） 来控制 Pods 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。 先决条件 节点标签 . This will be useful if. Prerequisites Node Labels Topology spread constraints rely on node labels. Ceci peut aider à mettre en place de la haute disponibilité et à utiliser. Explore the demoapp YAMLs. Figure 3. Certificates; Managing Resources;This page shows how to assign a Kubernetes Pod to a particular node using Node Affinity in a Kubernetes cluster. are spread across your cluster among failure-domains such as regions, zones, nodes, and other user-defined topology domains. 8. What you expected to happen: kube-scheduler satisfies all topology spread constraints when they can be satisfied. Example pod topology spread constraints Expand section "3. Focus mode. This can help to achieve high availability as well as efficient resource utilization. Pod topology spread constraints: Topology spread constraints can be used to spread pods over different failure domains such as nodes and AZs. Our theory is that the scheduler "sees" the old pods when deciding how to spread the new pods over nodes. Pods are the smallest deployable units of computing that you can create and manage in Kubernetes. So,. Pod Topology Spread Constraints; Taints and Tolerations; Scheduling Framework; Dynamic Resource Allocation; Scheduler Performance Tuning; Resource Bin Packing; Pod Priority and Preemption; Node-pressure Eviction; API-initiated Eviction; Cluster Administration. 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 order to distribute pods evenly across all cluster worker nodes in an absolute even manner, we can use the well-known node label called kubernetes. This example Pod spec defines two pod topology spread constraints. This example Pod spec defines two pod topology spread constraints. The topology spread constraints rely on node labels to identify the topology domain (s) that each worker Node is in. 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. If Pod Topology Spread Constraints are misconfigured and an Availability Zone were to go down, you could lose 2/3rds of your Pods instead of the expected 1/3rd. Access Red Hat’s knowledge, guidance, and support through your subscription. you can spread the pods among specific topologies. Kubernetes: Configuring Topology Spread Constraints to tune Pod scheduling. This scope allows for grouping all containers in a pod to a common set of NUMA nodes. The second pod topology spread constraint in the example is used to ensure that pods are evenly distributed across availability zones. Horizontal scaling means that the response to increased load is to deploy more Pods. g. For example, the scheduler automatically tries to spread the Pods in a ReplicaSet across nodes in a single-zone cluster (to reduce the impact of node failures, see kubernetes. Additionally, by being able to schedule pods in different zones, you can improve network latency in certain scenarios. Then you can have something like this: kind: Pod apiVersion: v1 metadata: name: mypod labels: foo: bar spec: topologySpreadConstraints: - maxSkew: 1. When you create a Service, it creates a corresponding DNS entry. This can help to achieve high availability as well as efficient resource utilization. You can set cluster-level constraints as a default, or configure topology spread constraints for individual workloads. although the specification clearly says "whenUnsatisfiable indicates how to deal with a Pod if it doesn’t satisfy the spread constraint". For general information about working with config files, see deploying applications, configuring containers, managing resources. A Pod represents a set of running containers on your cluster. Nodes that also have a Pod with the. Kubernetes において、Pod を分散させる基本単位は Node です。. Controlling pod placement using pod topology spread constraints; Running a custom scheduler; Evicting pods using the descheduler; Using Jobs and DaemonSets. 19 (stable). This will likely negatively impact. Validate the demo. Certificates; Managing Resources;with pod topology spread constraints, I could see the pod's component label being used to identify which component is being spread. unmanagedPodWatcher. They were promoted to stable with Kubernetes version 1. e the nodes are spread evenly across availability zones. Pod Scheduling Readiness; Pod Topology Spread Constraints; Taints and Tolerations; Scheduling Framework; Dynamic Resource Allocation; Scheduler Performance Tuning;. A node may be a virtual or physical machine, depending on the cluster. FEATURE STATE: Kubernetes v1. Imagine that you have a cluster of up to twenty nodes, and you want to run aworkloadthat automatically scales how many replicas it uses. Usually, you define a Deployment and let that Deployment manage ReplicaSets automatically. Horizontal Pod Autoscaling. kubernetes. Additionally, by being able to schedule pods in different zones, you can improve network latency in certain scenarios. See Pod Topology Spread Constraints. My guess, without running the manifests you've got is that the image tag 1 on your image doesn't exist, so you're getting ImagePullBackOff which usually means that the container runtime can't find the image to pull . md","path":"content/en/docs/concepts/workloads. FEATURE STATE: Kubernetes v1. In my k8s cluster, nodes are spread across 3 az's. The topology spread constraints rely on node labels to identify the topology domain (s) that each worker Node is in. {"payload":{"allShortcutsEnabled":false,"fileTree":{"content/ko/docs/concepts/workloads/pods":{"items":[{"name":"_index. Pod topology spread constraints to spread the Pods across availability zones in the Kubernetes cluster. metadata. By using a pod topology spread constraint, you provide fine-grained control over the distribution of pods across failure domains to help achieve high availability and more efficient resource utilization. 9. However, if all pod replicas are scheduled on the same failure domain (such as a node, rack, or availability zone), and that domain becomes unhealthy, downtime will occur until the replicas. Labels are key/value pairs that are attached to objects such as Pods. 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. 19 added a new feature called Pod 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. , client) that runs a curl loop on start. Read developer tutorials and download Red Hat software for cloud application development. These EndpointSlices include references to all the Pods that match the Service selector. 사용자는 kubectl explain Pod. Pod topology spread constraints. This name will become the basis for the ReplicaSets and Pods which are created later. 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。. 1. 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. 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. 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. To be effective, each node in the cluster must have a label called “zone” with the value being set to the availability zone in which the node is assigned. Setting whenUnsatisfiable to DoNotSchedule will cause. Interval, in seconds, to check if there are any pods that are not managed by Cilium. This can help to achieve high availability as well as efficient resource utilization. Topology Spread Constraints is a feature in Kubernetes that allows to specify how pods should be spread across nodes based on certain rules or constraints. Configuring pod topology spread constraints 3. A topology is simply a label name or key on a node. kubectl label nodes node1 accelerator=example-gpu-x100 kubectl label nodes node2 accelerator=other-gpu-k915. You first label nodes to provide topology information, such as regions, zones, and nodes. Topology can be regions, zones, nodes, etc. しかし現実には複数の Node に Pod が分散している状況であっても、それらの. apiVersion. Then add some labels to the pod. e. FEATURE STATE: Kubernetes v1. See Pod Topology Spread Constraints for details. If the POD_NAMESPACE environment variable is set, cli operations on namespaced resources will default to the variable value. Note that if there are Pod Topology Spread Constraints defined in CloneSet template, controller will use SpreadConstraintsRanker to get ranks for pods, but it will still sort pods in the same topology by SameNodeRanker. Possible Solution 2: set minAvailable to quorum-size (e. In the past, workload authors used Pod AntiAffinity rules to force or hint the scheduler to run a single Pod per topology domain. When. e. A Pod's contents are always co-located and co-scheduled, and run in a. name field. Pod topology spread constraints. And when the number of eligible domains with matching topology keys. Tolerations allow scheduling but don't. The topologySpreadConstraints feature of Kubernetes provides a more flexible alternative to Pod Affinity / Anti-Affinity rules for scheduling functions. The first option is to use pod anti-affinity. Like a Deployment, a StatefulSet manages Pods that are based on an identical container spec. With that said, your first and second examples works as expected. Viewing and listing the nodes in your cluster; Using the Node Tuning Operator; Remediating, fencing, and maintaining nodes; Machine. This is different from vertical. Pod topology spread constraints enable you to control how pods are distributed across nodes, considering factors such as zone or region. bool. In my k8s cluster, nodes are spread across 3 az's. You can set cluster-level constraints as a default, or configure topology spread constraints for individual workloads. The server-dep k8s deployment is implementing pod topology spread constrains, spreading the pods across the distinct 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. See Pod Topology Spread Constraints for details. 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. IPv4/IPv6 dual-stack networking is enabled by default for your Kubernetes cluster starting in 1. Default PodTopologySpread Constraints allows you to specify spreading for all the workloads in the cluster, tailored for its topology. md","path":"content/ko/docs/concepts/workloads. 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。Version v1. Prerequisites Enable. topologySpreadConstraints Pod Topology Spread Constraints を使うために YAML に spec. This scope allows for grouping all containers in a pod to a common set of NUMA nodes. By using these, you can ensure that workloads are evenly. You can set cluster-level constraints as a default, or configure. Topology spread constraints can be satisfied. 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. The pod topology spread constraint aims to evenly distribute pods across nodes based on specific rules and constraints. If you want to have your pods distributed among your AZs, have a look at pod topology. Let us see how the template looks like. For example: # Label your nodes with the accelerator type they have. Horizontal scaling means that the response to increased load is to deploy more Pods. Additionally, by being able to schedule pods in different zones, you can improve network latency in certain scenarios. Additionally, by being able to schedule pods in different zones, you can improve network latency in certain scenarios. 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. 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. However, this approach is a good starting point to achieve optimal placement of pods in a cluster with multiple node pools. For every service kubernetes creates a corresponding endpoints resource that contains the IP addresses of the pods. This can help to achieve high availability as well as efficient resource utilization. spec. Pod 拓扑分布约束. WhenUnsatisfiable indicates how to deal with a pod if it doesn't satisfy the spread constraint. Wrap-up. Finally, the labelSelector field specifies a label selector that is used to select the pods that the topology spread constraint should apply to. io/hostname as a. This can help to achieve high availability as well as efficient resource utilization. A ConfigMap allows you to decouple environment-specific configuration from your container images, so that your applications. spec. Example pod topology spread constraints" Collapse section "3. Using Pod Topology Spread Constraints. yaml. Thus, when using Topology-Aware-hints, its important to have application pods balanced across AZs using Topology Spread Constraints to avoid imbalances in the amount of traffic handled by each pod. This can help to achieve high availability as well as efficient resource utilization. You can define one or multiple topologySpreadConstraint to instruct the kube-scheduler how to place each incoming Pod in relation to the existing Pods across your. Kubernetes Meetup Tokyo #25 で使用したスライドです。. FEATURE STATE: Kubernetes v1. This example Pod spec defines two pod topology spread constraints. Elasticsearch configured to allocate shards based on node attributes. About pod topology spread constraints 3. Pods are the smallest deployable units of computing that you can create and manage in Kubernetes. 9. StatefulSets. You can use. md","path":"content/en/docs/concepts/workloads. You should see output similar to the following information. Ingress frequently uses annotations to configure some options depending on. I don't believe Pod Topology Spread Constraints is an alternative to typhaAffinity. This can help to achieve high availability as well as efficient resource utilization. See explanation of the advanced affinity options in Kubernetes documentation. For example, the scheduler automatically tries to spread the Pods in a ReplicaSet across nodes in a single-zone cluster (to reduce the impact of node failures, see kubernetes. Kubernetes において、Pod を分散させる基本単位は Node です。. example-template. If I understand correctly, you can only set the maximum skew. kube-apiserver - REST API that validates and configures data for API objects such as pods, services, replication controllers. 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。. These hints enable Kubernetes scheduler to place Pods for better expected availability, reducing the risk that a correlated failure affects your whole workload. # # Ref:. e. And when combined, the scheduler ensures that both are respected and both are used to ensure certain criteria, like high availability of your applications. The rules above will schedule the Pod to a Node with the . Pods are the smallest deployable units of computing that you can create and manage in Kubernetes. All}, // Node add|delete|updateLabel maybe lead an topology key changed, // and make these pod in. Pod affinity/anti-affinity By using the podAffinity and podAntiAffinity configuration on a pod spec, you can inform the Karpenter scheduler of your desire for pods to schedule together or apart with respect to different 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. Add a topology spread constraint to the configuration of a workload. Topology can be regions, zones, nodes, etc. 8. Within a namespace, a. For such use cases, the recommended topology spread constraint for anti-affinity can be zonal or hostname. 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. spread across different failure-domains such as hosts and/or zones). In the example below, the topologySpreadConstraints field is used to define constraints that the scheduler uses to spread pods across the available nodes. Manages the deployment and scaling of a set of Pods, and provides guarantees about the ordering and uniqueness of these Pods. 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. Prerequisites; Spread Constraints for PodsMay 16. restart. The ask is to do that in kube-controller-manager when scaling down a replicaset. 2020-01-29. kubernetes. StatefulSet is the workload API object used to manage stateful applications. 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 using a pod topology spread constraint, you provide fine-grained control over the distribution of pods across failure domains to help achieve high availability and more efficient resource utilization. matchLabelKeys is a list of pod label keys to select the pods over which spreading will be calculated. The major difference is that Anti-affinity can restrict only one pod per node, whereas Pod Topology Spread Constraints can. topology. Otherwise, controller will only use SameNodeRanker to get ranks for pods. 在 Pod 的 spec 中新增了一个字段 `topologySpreadConstraints` :A Pod represents a set of running containers on your cluster. By using two separate constraints in this fashion. kubernetes. unmanagedPodWatcher. 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. You can use topology spread constraints to control how Pods The smallest and simplest Kubernetes object. Configuring pod topology spread constraints for monitoring. . This page introduces Quality of Service (QoS) classes in Kubernetes, and explains how Kubernetes assigns a QoS class to each Pod as a consequence of the resource constraints that you specify for the containers in that Pod. Store the diagram URL somewhere for later access. 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. In addition to this, the workload manifest will specify a node selector rule for pods to be scheduled to compute resources managed by the. resources. You first label nodes to provide topology information, such as regions, zones, and nodes. A PV can specify node affinity to define constraints that limit what nodes this volume can be accessed from. If the above deployment is deployed to a cluster with nodes only in a single zone, all of the pods will schedule on those nodes as kube-scheduler isn't aware of the other zones. You can set cluster-level constraints as a default, or configure topology spread constraints for individual workloads. 16 alpha. 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. operator. Pods are the smallest deployable units of computing that you can create and manage in Kubernetes. 03. 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. This enables your workloads to benefit on high availability and cluster utilization. 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. This means that if there is one instance of the pod on each acceptible node, the constraint allows putting. Voluntary and involuntary disruptions Pods do not. For example, to ensure that:Pod topology spread constraints control how pods are distributed across the Kubernetes cluster. label and an existing Pod with the . If the tainted node is deleted, it is working as desired. Running background tasks on nodes automatically with daemonsets; Running tasks in pods using jobs; Working with nodes. Create a simple deployment with 3 replicas and with the specified topology. 9. Certificates; Managing Resources;The first constraint (topologyKey: topology. Platform. restart. This way, all pods can be spread according to (likely better informed) constraints set by a cluster operator. e. This can help to achieve high availability as well as efficient resource utilization. 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. hardware-class. 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. spec. unmanagedPodWatcher. However, there is a better way to accomplish this - via pod topology spread constraints. Prerequisites Node Labels Topology. (Bonus) Ensure Pod’s topologySpreadConstraints are set, preferably to ScheduleAnyway. A ConfigMap is an API object used to store non-confidential data in key-value pairs. Built-in default Pod Topology Spread constraints for AKS #3036. 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. Example pod topology spread constraints"By using a pod topology spread constraint, you provide fine-grained control over the distribution of pods across failure domains to help achieve high availability and more efficient resource utilization. DataPower Operator pods fail to schedule, stating that no nodes match pod topology spread constraints (missing required label). (Allows more disruptions at once). Example pod topology spread constraints"Pod topology spread constraints for cilium-operator. In short, pod/nodeAffinity is for linear topologies (all nodes on the same level) and topologySpreadConstraints are for hierarchical topologies (nodes spread across. What happened:. Horizontal scaling means that the response to increased load is to deploy more Pods. io/hostname as a topology domain, which ensures each worker node. In this case, the constraint is defined with a. When there. This can help to achieve high availability as well as efficient resource utilization.