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Last updated:2021-05-11 10:41:31
Some customers prefer to configure small-capacity nodes when they create a Kubernetes cluster. Small-capacity nodes have the following disadvantages:
Large-capacity nodes have the following advantages:
The capacity of a master node is subject to the cluster scale. A large cluster requires large-capacity master nodes. The following table describes the recommended master node configurations in different cluster scales.
Cluster scale (number of nodes) | Capacity of a master node |
---|---|
0 to 100 | 4 CPU cores, 8 GB memory, and 50 GB SSD data disk or higher |
100 to 300 | 8 CPU cores, 16 GB memory, and 50 GB SSD data disk or higher |
300 to 500 | 16 CPU cores, 32 GB memory, and 100 GB SSD data disk or higher |
500 to 1,000 | 32 CPU cores, 64 GB memory, and 100 GB SSD data disk or higher |
> 1,000 | Contact Kingsoft Cloud. |
To ensure stability of nodes, KCE reserves some resources on the nodes based on the node specifications for Kubernetes components, such as kubelet, kube-proxy, and docker. For more information, see Reserve resources in a cluster. We recommend that you select node configurations based on the reserved resources and your business requirements.
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