- Manifest ManagementManifest Management
- Application Update LifecycleApplication Update Lifecycle
- Volume ManagementVolume Management
- Dynamic ParametersDynamic Parameters
- Kubernetes Cluster SupportKubernetes Cluster Support
- Kubernetes RBACKubernetes RBAC
- Network & Traffic managementNetwork & Traffic management
- Kubernetes AutoscalingKubernetes Autoscaling
- Associating Pods To NodesAssociating Pods To Nodes
- Integration with VM (Legacy) ServicesIntegration with VM (Legacy) Services
Associating Pods to Nodes
Kubernetes scheduler automatically provides a reasonable placement of nodes on pods (e.g. it does not place the pod on a node with insufficient free resources, etc.), but there are some circumstances where you may need more control on a node where a pod lands. For example, a developer may decide to deploy compute-intensive containers on the compute-optimized nodes.
If you want to deploy specific pods to specific nodes, it is not an easy process in Kubernetes. The developers need to label nodes and then apply the appropriate selectors to the deployments. Often times, developers have to configure complex affinity rules to allocate a set of deployments to a group of nodes. This becomes increasingly complex if you have a diverse pool of nodes.
The following YAML snippet shows the configuration required to land a Pod on a node with SSD storage.
apiVersion: v1 kind: Pod metadata: name: nginx labels: env: test spec: containers: - name: nginx image: nginx imagePullPolicy: IfNotPresent nodeSelector: disktype: ssd
The developer has to add labels to their Node objects and use those labels in the node selectors. For example, example.com.node-restriction.kubernetes.io/fips=true or disktype=ssd
Developers have to label all the nodes which have SSD disk type. This is a tedious task. The following kubectl command applies specific labels to the nodes kubectl label nodes
How CloudPlex addresses your pain
In CloudPlex, you can visualize your nodes and deployments in a single view and simply attach deployments to nodes through a visual interface. Node labeling and selectors are automatically handled by the platform.