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Yandex Managed Service for Kubernetes
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      • Connecting to the terminal of a running container
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In this article:

  • Prohibiting pod allocation to a node
  • Allowing pod allocation to a node
  • See also
  1. Step-by-step guides
  2. Working with Kubernetes objects from the management console
  3. Managing pod allocation to nodes

Managing pod allocation to nodes

Written by
Yandex Cloud
Updated at May 5, 2026
  • Prohibiting pod allocation to a node
  • Allowing pod allocation to a node
    • See also

Nodes are Yandex Compute Cloud virtual machines hosting pods with user containers. In the management console, you can manage pod allocation to a node in Kubernetes without using kubectl.

Prohibiting pod allocation to a nodeProhibiting pod allocation to a node

You can prohibit new pod allocation to a node in the management console in the same way as when using the kubectl cordon <node_name> command. Pods already running on the node will continue to operate.

To prohibit pod allocation to a node:

Management console
  1. In the management console, navigate to the folder dashboard and select Managed Service for Kubernetes.
  2. Click the cluster name and select Node manager in the left-hand panel.
  3. Select the Nodes tab.
  4. Click the node name.
  5. In the top-right corner, click Cordon.
  6. Confirm the action.

Allowing pod allocation to a nodeAllowing pod allocation to a node

You can allow pod allocation to a node in the management console in the same way as when using the kubectl uncordon <node_name>` command.

To allow pod allocation to a node

Management console
  1. In the management console, navigate to the folder dashboard and select Managed Service for Kubernetes.
  2. Click the cluster name and select Node manager in the left-hand panel.
  3. Select the Nodes tab.
  4. Click the node name.
  5. In the top-right corner, click Uncordon.
  6. Confirm the action.

See alsoSee also

  • Resource relationships in Managed Service for Kubernetes

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Connecting to the terminal of a running container
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Managing workloads
© 2026 Direct Cursus Technology L.L.C.