Help Center/ Cloud Container Engine/ API Reference/ Appendix/ Specifying Add-ons to Be Installed During Cluster Creation

Updated on 2024-05-30 GMT+08:00

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Specifying Add-ons to Be Installed During Cluster Creation

When creating a cluster, you can add a key-value pair to annotations of the metadata field in the request body to install an add-on in the cluster. The key is cluster.install.addons/install, and the value is a JSON array of AddonTemplate.

**Table 1** Value data structure
Parameter	Mandatory	Type	Description
Value	Yes	JSON array of AddonTemplate string	Add-on to be installed in the cluster. If this parameter is not specified, the coredns and storage-driver add-ons are installed by default for clusters of Kubernetes 1.13 and earlier versions, and the coredns, everest, and npd add-ons are installed by default for clusters of Kubernetes 1.15 and later versions. For details, see Table 2.

**Table 2** Data structure of the AddonTemplate field
Parameter	Mandatory	Type	Description
addonTemplateName	Yes	String	Add-on name. The value can be coredns, autoscaler, gpu-beta, or storage-driver.
version	No	String	Add-on version. To view the add-on version information, log in to the CCE console, click Add-ons in the navigation pane. Click the target add-on name. On the Version History tab page, you can view the versions of the add-on. If this parameter is left blank, the latest version is used by default.
values	No	Json Map	Parameters to be set for installing an add-on. coredns: For details, see Table 3. autoscaler: For details, see Table 7. gpu-beta: For details, see Table 9. NOTE: You do not need to set this parameter when installing the storage-driver add-on.

**Table 3** Special key-value pairs of the coredns values parameters
Parameter	Mandatory	Type	Description
flavor	Yes	flavor object	Add-on specifications.
custom	Yes	custom object	Custom coredns parameters.

**Table 4** Data structure of the flavor field
Parameter	Mandatory	Type	Description
description	Yes	String	Specification description.
name	Yes	String	Flavor name.
replicas	Yes	Integer	Number of pods.
resources	Yes	resource object	Add-on resources.

**Table 5** Data structure of the resource field
Parameter	Mandatory	Type	Description
name	Yes	String	Resource name.
limitsCpu	Yes	String	CPU quota limit.
limitsMem	Yes	String	Memory quota limit.
requestsCpu	Yes	String	Requested CPU.
requestsMem	Yes	String	Requested memory.

**Table 6** Data structure of the custom field
Parameter	Mandatory	Type	Description
stub_domains	No	Json Map	JSON map that uses the DNS suffix key (such as acme.local) and the value composed of the JSON array of the DNS IP address.
upstream_nameservers	No	Json Array	The value of this parameter replaces the name server value obtained from /etc/resolv.conf of the node by default. Restriction: A maximum of three upstream name servers can be specified.
tenant_id	Yes	String	Project ID.

**Table 7** Special key-value pairs of the autoscaler values parameters
Parameter	Mandatory	Type	Description
flavor	Yes	flavor Object	Add-on specifications.
custom	Yes	custom object	Custom autoscaler parameters.

**Table 8** Data structure of the custom field
Parameter	Mandatory	Type	Description
coresTotal	Yes	Integer	Maximum and minimum number of cores of a cluster. The format is <min>:<max>. The autoscaler add-on performs cluster scaling within this range.
maxEmptyBulkDeleteFlag	Yes	Integer	Maximum number of empty nodes that can be deleted at a time.
maxNodesTotal	Yes	Integer	Maximum number of nodes in all node groups. The autoscaler add-on performs cluster scaling within this range.
memoryTotal	Yes	Integer	Maximum and minimum size of memory of a cluster. The format is <min>:<max>. The autoscaler add-on performs cluster scaling within this range.
scaleDownDelayAfterAdd	Yes	Integer	Interval for performing scale-down evaluation after a scale-up.
scaleDownDelayAfterDelete	Yes	Integer	Interval for performing scale-down evaluation after nodes are deleted. The default value is scanInterval.
scaleDownDelayAfterFailure	Yes	Integer	Interval for performing scale-down evaluation after a scale-down failure.
scaleDownEnabled	Yes	Boolean	Whether to enable cluster scaling down.
scaleDownUnneededTime	Yes	Integer	Time waited to start a scale-down after a node has reached the scale-down threshold.
scaleDownUtilizationThreshold	Yes	Float	Threshold percentage of the total CPU or memory occupied by all pods running on the node to the allocatable resources on the node. When the actual percentage is lower than this threshold, node scale-down is triggered.
scaleUpCpuUtilizationThreshold	Yes	Float	CPU usage threshold for triggering scale-up.
scaleUpMemUtilizationThreshold	Yes	Float	Memory usage threshold for triggering scale-up.
scaleUpUnscheduledPodEnabled	Yes	Boolean	Scale-up is triggered when there are unscheduled pods.
scaleUpUtilizationEnabled	Yes	Boolean	Scale-up is triggered when the resource usage reaches the threshold.
tenant_id	Yes	String	Project ID.
unremovableNodeRecheckTimeout	Yes	Integer	Interval for checking whether a node can be removed.

**Table 9** Special Key-Value in values of AddonTemplate (GPU-beta)
Parameter	Mandatory	Type	Description
custom	Yes	custom object	Customer parameters of gpu-beta.

**Table 10** Data structure of the custom field
Parameter	Mandatory	Type	Description
is_driver_from_nvidia	Yes	Boolean	Whether to use the NVIDIA driver. Set this parameter to true.
nvidia_driver_download_url	Yes	String	Driver downloading URL.

**Table 11** Data structure of the spec field
Parameter	Mandatory	Type	Description
type	Yes	String	Cluster type. Possible values: VirtualMachine: The cluster is a hybrid cluster. A hybrid cluster manages a group of node resources based on Kubernetes. It can manage VMs, bare-metal machines, or a combination of both. Kubernetes automatically schedules containers onto available nodes. Before creating a containerized workload, you must have an available cluster. ARM64: The cluster is a Kunpeng cluster. Containers in CCE's Kunpeng clusters can run on Kunpeng servers that use ARM architecture and Kunpeng processors. Kunpeng-accelerated cloud servers are easy to deploy and provide comparable scaling and scheduling performance as x86-based cloud servers.
flavor	Yes	String	Cluster flavor, which cannot be changed after the cluster is created. cce.s1.small: a small-scale CCE cluster with one master node and a maximum of 50 worker nodes cce.s1.medium: a medium-scale CCE cluster with one master node and a maximum of 200 worker nodes cce.s2.small: a small-scale, HA CCE cluster with three master nodes and a maximum of 50 worker nodes cce.s2.medium: a medium-scale, HA CCE cluster with three master nodes and a maximum of 200 worker nodes cce.s2.large: a large-scale, HA CCE cluster with three master nodes and a maximum of 1,000 worker nodes cce.s2.xlarge: an ultra-large-scale, HA CCE cluster with three master nodes and a maximum of 2,000 worker nodes NOTE: s1: indicates a cluster with one master node. If the master node is faulty, the cluster is unavailable, but running workloads are not affected. s2: indicates a cluster with three master nodes. This is an HA cluster. If one of the master nodes is faulty, the cluster is still available. dec: dedicated hybrid cluster specifications. For example, cce.dec.s1.small is a small-scale, single-master, dedicated hybrid cluster (≤ 50 nodes). For example, ≤ 50 nodes indicates that the maximum number of nodes that can be managed by the cluster is 50. A single-master cluster has only one master node. If the master node is down, the cluster will become unavailable and stop serving new workloads. However, existing workloads in the cluster are not affected. An HA cluster has multiple master nodes. Faults in a single master node will not take the cluster down. For details on how to distinguish high-availability clusters from regular clusters, see How Do I Check Whether a Cluster Is in Multi-Master Mode?
version	No	String	Cluster's baseline Kubernetes version. The latest version is recommended. You can create clusters of two latest versions on the CCE console. To learn which cluster versions are available, choose Clusters in the navigation pane, click Buy Cluster, and view the supported cluster versions. You can call APIs to create clusters of other versions. However, these clusters will be gradually brought offline. For details about the offline policy, see the official CCE announcement. NOTE: If this parameter is left blank, the cluster of the latest version is created by default.
description	No	String	Cluster description, for example, which purpose the cluster is intended to serve. By default, this parameter is left unspecified. To modify cluster description after the cluster is created, call the API used to update information about a specified cluster or go to the cluster details page on the CCE console.
ipv6enable	No	Boolean	Whether the cluster supports IPv6. Clusters of version 1.15 and later support IPv6.
hostNetwork	Yes	HostNetwork object	Node networking parameters, including VPC and subnet ID. hostNetwork is mandatory because nodes in a cluster communicate with each other by using a VPC.
containerNetwork	Yes	ContainerNetwork object	Container networking parameters, including the container network model and container CIDR block.
authentication	No	Authentication object	Configurations of the cluster authentication mode.
kubernetesSvcIpRange	No	String	Service CIDR block or the IP address range which the kubernetes clusterIp must fall within. This parameter is available only for clusters of v1.11.7 and later.
billingMode	No	Integer	Billing mode of a cluster. Currently, only pay-per-use clusters can be created. Value 0 indicates pay-per-use. If this parameter is left unspecified, the default value 0 is used.
masters	No	MasterSpec object	Advanced configurations of the master node
extendParam	No	Map<String,String>	Extended fields in the format of key-value pairs. You can configure multi-AZ clusters and dedicated hybrid clusters, and create clusters in specific enterprise projects.

Request Example

{
  "kind" : "Cluster",
  "apiVersion" : "v3",
  "metadata" : {
    "name" : "mycluster",
    "labels" : {
      "foo" : "bar"
    },
    "annotations" : {
      "cluster.install.addons/install" : "[{\"addonTemplateName\":\"autoscaler\",\"version\":\"1.15.11\",\"values\":{\"flavor\":{\"description\":\"Has only one instance\",\"name\":\"Single\",\"replicas\":1,\"resources\":[{\"limitsCpu\":\"90m\",\"limitsMem\":\"200Mi\",\"name\":\"autoscaler\",\"requestsCpu\":\"50m\",\"requestsMem\":\"100Mi\"}]},\"custom\":{\"coresTotal\":32000,\"maxEmptyBulkDeleteFlag\":10,\"maxNodesTotal\":1000,\"memoryTotal\":128000,\"scaleDownDelayAfterAdd\":10,\"scaleDownDelayAfterDelete\":10,\"scaleDownDelayAfterFailure\":3,\"scaleDownEnabled\":false,\"scaleDownUnneededTime\":10,\"scaleDownUtilizationThreshold\":0.5,\"scaleUpCpuUtilizationThreshold\":1,\"scaleUpMemUtilizationThreshold\":1,\"scaleUpUnscheduledPodEnabled\":true,\"scaleUpUtilizationEnabled\":true,\"tenant_id\":\"22a8a02394794b908d256103a5b63c65\",\"unremovableNodeRecheckTimeout\":5}}},{\"addonTemplateName\":\"coredns\",\"version\":\"1.15.3\",\"values\":{\"flavor\":{\"description\":\"Has two instances\",\"name\":2500,\"replicas\":2,\"resources\":[{\"limitsCpu\":\"500m\",\"limitsMem\":\"512Mi\",\"name\":\"coredns\",\"requestsCpu\":\"500m\",\"requestsMem\":\"512Mi\"}]},\"custom\":{\"stub_domains\":{},\"upstream_nameservers\":[],\"tenant_id\":\"22a8a02394794b908d256103a5b63c65\"}}},{\"addonTemplateName\":\"gpu-beta\",\"version\":\"1.1.7\",\"values\":{\"custom\":{\"is_driver_from_nvidia\":true,\"nvidia_driver_download_url\":\"https://us.download.nvidia.com/tesla/396.37/NVIDIA-Linux-x86_64-396.37.run\"}}},{\"addonTemplateName\":\"storage-driver\",\"version\":\"\"}]"
    }
  },
  "spec" : {
    "type" : "VirtualMachine",
    "flavor" : "cce.s1.small",
    "version" : "v1.15.11",
    "description" : "this is a demo cluster",
    "hostNetwork" : {
      "vpc" : "1cb74d47-8e09-4d14-a065-75f4fc03e5eb",
      "subnet" : "d44c089c-fbdc-49b3-ae8f-7b42c64219cf"
    },
    "containerNetwork" : {
      "mode" : "overlay_l2",
      "cidr" : "172.16.0.0/16"
    },
    "extendParam" : {
      "foo" : "bar"
    }
  }
}

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