Help Center/ Cloud Container Engine/ User Guide (Kuala Lumpur Region)/ Clusters/ Managing a Cluster/ Modifying Cluster Configurations
Updated on 2024-10-14 GMT+08:00
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Modifying Cluster Configurations

Scenario

CCE allows you to manage cluster parameters, through which you can let core components work under your requirements.

Procedure

  1. Log in to the CCE console. In the navigation pane, choose Clusters.
  2. Locate the target cluster, click ... to view more operations on the cluster, and choose Manage.
  3. On the Manage Components page on the right, change the values of the Kubernetes parameters listed in the following table.

    Table 1 kube-apiserver configurations

    Item

    Parameter

    Description

    Value

    Toleration time for nodes in NotReady state

    default-not-ready-toleration-seconds

    Specifies the default tolerance time. The configuration takes effect for all pods by default. You can configure different tolerance time for pods. In this case, the tolerance time configured for the pod is used. For details, see Configuring Tolerance Policies.

    If the specified tolerance time is too short, pods may be frequently migrated in scenarios like a network jitter. If the specified tolerance time is too long, services may be interrupted during this period after the node is faulty.

    Default: 300s

    Toleration time for nodes in unreachable state

    default-unreachable-toleration-seconds

    Specifies the default tolerance time. The configuration takes effect for all pods by default. You can configure different tolerance time for pods. In this case, the tolerance time configured for the pod is used. For details, see Configuring Tolerance Policies.

    If the specified tolerance time is too short, pods may be frequently migrated in scenarios like a network jitter. If the specified tolerance time is too long, services may be interrupted during this period after the node is faulty.

    Default: 300s

    Maximum Number of Concurrent Modification API Calls

    max-mutating-requests-inflight

    Maximum number of concurrent mutating requests. When the value of this parameter is exceeded, the server rejects requests.

    The value 0 indicates that there is no limitation on the maximum number of concurrent modification requests. This parameter is related to the cluster scale. You are advised not to change the value.

    Manual configuration is no longer supported since cluster v1.21. The value is automatically specified based on the cluster scale.

    • 200 for clusters with 50 or 200 nodes
    • 500 for clusters with 1000 nodes
    • 1000 for clusters with 2000 nodes

    Maximum Number of Concurrent Non-Modification API Calls

    max-requests-inflight

    Maximum number of concurrent non-mutating requests. When the value of this parameter is exceeded, the server rejects requests.

    The value 0 indicates that there is no limitation on the maximum number of concurrent non-modification requests. This parameter is related to the cluster scale. You are advised not to change the value.

    Manual configuration is no longer supported since cluster v1.21. The value is automatically specified based on the cluster scale.

    • 400 for clusters with 50 or 200 nodes
    • 1000 for clusters with 1000 nodes
    • 2000 for clusters with 2000 nodes

    NodePort port range

    service-node-port-range

    NodePort port range. After changing the value, go to the security group page and change the TCP/UDP port range of node security groups 30000 to 32767. Otherwise, ports other than the default port cannot be accessed externally.

    If the port number is smaller than 20106, a conflict may occur between the port and the CCE health check port, which may further lead to unavailable cluster. If the port number is greater than 32767, a conflict may occur between the port and the ports in net.ipv4.ip_local_port_range, which may further affect the network performance.

    Default: 30000 to 32767

    Value range:

    Min > 20105

    Max < 32768

    Request Timeout

    request-timeout

    Default request timeout interval of kube-apiserver. Exercise caution when changing the value of this parameter. Ensure that the changed value is proper to prevent frequent API timeout or other errors.

    This parameter is available only in clusters of v1.19.16-r30, v1.21.10-r10, v1.23.8-r10, v1.25.3-r10, or later versions.

    Default: 1m0s

    Value range:

    Min ≥ 1s

    Max ≤ 1 hour

    ServerSideApply

    feature-gates: ServerSideApply

    Whether to enable ServerSideApply of kube-apiserver. For details, see Server-Side Apply. If this function is enabled, the system stores the resource field management information in metadata.managedFields to record the subject, time, and fields of historical operations.

    This parameter is available only in clusters of v1.19.16-r30 or later patch versions, v1.21.10-r10 or later patch versions, v1.23.8-r10 or later patch versions, and v1.25.3-r10 or later patch versions. This feature is enabled by default for clusters v1.27 or later and cannot be disabled.

    Default: true

    Overload Control

    support-overload

    Cluster overload control. If enabled, concurrent requests are dynamically controlled based on the resource pressure of master nodes to keep them and the cluster available.

    This parameter is available only in clusters of v1.23 or later.
    • false: Overload control is disabled.
    • true: Overload control is enabled.

    Node Restriction Add-on

    enable-admission-plugin-node-restriction

    This add-on allows the Kubelet of a node to operate only the objects of the current node for enhanced isolation in multi-tenant scenarios or the scenarios with high security requirements.

    This parameter is available only in clusters of v1.23.14-r0, v1.25.9-r0, v1.27.6-r0, v1.28.4-r0, or later versions.

    Default: true

    Pod Node Selector Add-on

    enable-admission-plugin-pod-node-selector

    This add-on allows cluster administrators to configure the default node selector through namespace annotations. In this way, pods run only on specific nodes and configurations are simplified.

    This parameter is available only in clusters of v1.23.14-r0, v1.25.9-r0, v1.27.6-r0, v1.28.4-r0, or later versions.

    Default: true

    Pod Toleration Limit Add-on

    enable-admission-plugin-pod-toleration-restriction

    This add-on allows cluster administrators to configure the default value and limits of pod tolerations through namespaces for fine-grained control over pod scheduling and key resource protection.

    This parameter is available only in clusters of v1.23.14-r0, v1.25.9-r0, v1.27.6-r0, v1.28.4-r0, or later versions.

    Default: false

    API Audience Settings

    api-audiences

    Audiences for a service account token. The Kubernetes component for authenticating service account tokens checks whether the token used in an API request specifies authorized audiences.

    Configuration suggestion: Accurately configure audiences according to the communication needs among cluster services. By doing so, the service account token is used for authentication only between authorized services, which enhances security.

    NOTE:

    An incorrect configuration may lead to an authentication communication failure between services or an error during token verification.

    This parameter is available only in clusters of v1.23.16-r0, v1.25.11-r0, v1.27.8-r0, v1.28.6-r0, v1.29.2-r0, or later versions.

    Default value: "https://kubernetes.default.svc.cluster.local"

    Multiple values can be configured, which are separated by commas (,).

    Service Account Token Issuer Identity

    service-account-issuer

    Entity identifier for issuing a service account token, which is the value identified by the iss field in the payload of the service account token.

    Configuration suggestion: Ensure the configured issuer URL can be accessed in the cluster and trusted by the authentication system in the cluster.

    NOTE:

    If your specified issuer URL is untrusted or inaccessible, the authentication process based on the service account may fail.

    This parameter is available only in clusters of v1.23.16-r0, v1.25.11-r0, v1.27.8-r0, v1.28.6-r0, v1.29.2-r0, or later versions.

    Default value: "https://kubernetes.default.svc.cluster.local"

    Multiple values can be configured, which are separated by commas (,).
    Table 2 Scheduler configurations

    Item

    Parameter

    Description

    Value

    QPS for communicating with kube-apiserver

    kube-api-qps

    QPS for communicating with kube-apiserver.
    • If the number of nodes in a cluster is less than 1000, the default value is 100.
    • If the number of nodes in a cluster is 1000 or more, the default value is 200.

    Burst for communicating with kube-apiserver

    kube-api-burst

    Burst for communicating with kube-apiserver.
    • If the number of nodes in a cluster is less than 1000, the default value is 100.
    • If the number of nodes in a cluster is 1000 or more, the default value is 200.

    Whether to enable GPU sharing

    enable-gpu-share

    Whether to enable GPU sharing. This parameter is supported only by clusters of v1.23.7-r10, v1.25.3-r0, and later.

    • When disabled, ensure that pods in the cluster cannot use shared GPUs (no cce.io/gpu-decision annotation in pods).
    • When enabled, ensure that there is a cce.io/gpu-decision annotation on all pods that use GPU resources in the cluster.

    Default: true
    Table 3 kube-controller-manager configurations

    Item

    Parameter

    Description

    Value

    Number of concurrent processing of deployment

    concurrent-deployment-syncs

    Number of deployment objects that can be synchronized concurrently

    Default: 5

    Concurrent processing number of endpoint

    concurrent-endpoint-syncs

    Number of endpoint syncing operations that will be done concurrently

    Default: 5

    Concurrent number of garbage collector

    concurrent-gc-syncs

    Number of garbage collector workers that can be synchronized concurrently

    Default: 20

    Number of job objects allowed to sync simultaneously

    concurrent-job-syncs

    Number of job objects that can be synchronized concurrently

    Default: 5

    Number of CronJob objects allowed to sync simultaneously

    concurrent-cron-job-syncs

    Number of scheduled jobs that can be synchronized concurrently

    Default: 5

    Number of concurrent processing of namespace

    concurrent-namespace-syncs

    Number of namespace objects that can be synchronized concurrently

    Default: 10

    Concurrent processing number of replicaset

    concurrent-replicaset-syncs

    Number of replica sets that can be synchronized concurrently

    Default: 5

    ResourceQuota

    concurrent-resource-quota-syncs

    Number of resource quotas that can be synchronized concurrently

    Default: 5

    Concurrent processing number of service

    concurrent-service-syncs

    Number of services that can be synchronized concurrently

    Default: 10

    Concurrent processing number of serviceaccount-token

    concurrent-serviceaccount-token-syncs

    Number of service account token objects that can be synchronized concurrently

    Default: 5

    Concurrent processing of ttl-after-finished

    concurrent-ttl-after-finished-syncs

    Number of ttl-after-finished-controller workers that can be synchronized concurrently

    Default: 5

    RC

    concurrent_rc_syncs (used in clusters of v1.19 or earlier)

    concurrent-rc-syncs (used in clusters of v1.21 through v1.25.3-r0)

    Number of replication controllers that can be synchronized concurrently

    NOTE:

    This parameter is no longer supported in clusters of v1.25.3-r0 and later versions.

    Default: 5

    HPA

    concurrent-horizontal-pod-autoscaler-syncs

    Number of HPA auto scaling requests that can be concurrently processed

    Default 1 for clusters earlier than v1.27 and 5 for clusters of v1.27 or later

    Value range: 1 to 50

    Cluster elastic computing period

    horizontal-pod-autoscaler-sync-period

    Period for the horizontal pod autoscaler to perform auto scaling on pods. A smaller value will result in a faster auto scaling response and higher CPU load.

    NOTE:

    Make sure to configure this parameter properly as a lengthy period can cause the controller to respond slowly, while a short period may overload the cluster control plane.

    Default: 15 seconds

    Horizontal Pod Scaling Tolerance

    horizontal-pod-autoscaler-tolerance

    The configuration determines how quickly the horizontal pod autoscaler will act to auto scaling policies. If the parameter is set to 0, auto scaling will be triggered immediately when the related metrics are met.

    Configuration suggestion: If the service resource usage increases sharply over time, retain a certain tolerance to prevent auto scaling which is beyond expectation in high resource usage scenarios.

    Default: 0.1

    HPA CPU Initialization Period

    horizontal-pod-autoscaler-cpu-initialization-period

    During the period specified by this parameter, the CPU usage data used in HPA calculation is limited to pods that are both ready and have recently had their metrics collected. You can use this parameter to filter out unstable CPU usage data during the early stage of pod startup. This helps prevent incorrect scaling decisions based on momentary peak values.

    Configuration suggestion: If you find that HPA is making incorrect scaling decisions due to CPU usage fluctuations during pod startup, increase the value of this parameter to allow for a buffer period of stable CPU usage.

    NOTE:

    Make sure to configure this parameter properly as a small value may trigger unnecessary scaling based on peak CPU usage, while a large value may cause scaling to be delayed.

    This parameter is available only in clusters of v1.23.16-r0, v1.25.11-r0, v1.27.8-r0, v1.28.6-r0, v1.29.2-r0, or later versions.

    Default: 5 minutes

    HPA Initial Readiness Delay

    horizontal-pod-autoscaler-initial-readiness-delay

    After CPU initialization, this period allows HPA to use a less strict criterion for filtering CPU metrics. During this period, HPA will gather data on the CPU usage of the pod for scaling, regardless of any changes in the pod's readiness status. This parameter ensures continuous tracking of CPU usage, even when the pod status changes frequently.

    Configuration suggestion: If the readiness status of pods fluctuates after startup and you want to prevent HPA misjudgment caused by the fluctuation, increase the value of this parameter to allow HPA to gather more comprehensive CPU usage data.

    NOTE:

    Configure this parameter properly. If it is set to a small value, an unnecessary scale-out may occur due to CPU data fluctuations when the pod enters the ready state. If it is set to a large value, HPA may not be able to make a quick decision when a rapid response is needed.

    This parameter is available only in clusters of v1.23.16-r0, v1.25.11-r0, v1.27.8-r0, v1.28.6-r0, v1.29.2-r0, or later versions.

    Default: 30s

    QPS for communicating with kube-apiserver

    kube-api-qps

    QPS for communicating with kube-apiserver
    • If the number of nodes in a cluster is less than 1000, the default value is 100.
    • If the number of nodes in a cluster is 1000 or more, the default value is 200.

    Burst for communicating with kube-apiserver

    kube-api-burst

    Burst for communicating with kube-apiserver
    • If the number of nodes in a cluster is less than 1000, the default value is 100.
    • If the number of nodes in a cluster is 1000 or more, the default value is 200.

    The maximum number of terminated pods that can be kept before the Pod GC deletes the terminated pod

    terminated-pod-gc-threshold

    Number of terminated pods that can exist in a cluster. If there are more terminated pods than the expected number in the cluster, the terminated pods that exceed the number will be deleted.

    NOTE:

    If this parameter is set to 0, all pods in the terminated state are retained.

    Default: 1000

    Value range: 10 to 12500

    If the cluster version is v1.21.11-r40, v1.23.8-r0, v1.27.3-r0, v1.25.6-r0, or later, the value range is changed to 0 to 100000.

    Unhealthy AZ Threshold

    unhealthy-zone-threshold

    When more than a certain proportion of pods in an AZ are unhealthy, the AZ itself will be considered unhealthy, and scheduling pods to nodes in that AZ will be restricted to limit the impacts of the unhealthy AZ.

    This parameter is available only in clusters of v1.23.14-r0, v1.25.9-r0, v1.27.6-r0, v1.28.4-r0, or later versions.

    NOTE:

    If the parameter is set to a large value, pods in unhealthy AZs will be migrated in a large scale, which may lead to risks such as overloaded clusters.

    Default: 0.55

    Value range: 0 to 1

    Node Eviction Rate

    node-eviction-rate

    This parameter specifies the number of nodes that pods are deleted from per second in a cluster when the AZ is healthy. The default value is 0.1, indicating that pods can be evicted from at most one node every 10 seconds.

    This parameter is available only in clusters of v1.23.14-r0, v1.25.9-r0, v1.27.6-r0, v1.28.4-r0, or later versions.

    NOTE:

    If the parameter is set to a large value, the cluster may be overloaded. Additionally, if too many pods are evicted, they cannot be rescheduled, which will slow down fault recovery.

    Default: 0.1

    Secondary Node Eviction Rate

    secondary-node-eviction-rate

    This parameter specifies the number of nodes that pods are deleted from per second in a cluster when the AZ is unhealthy. The default value is 0.01, indicating that pods can be evicted from at most one node every 100 seconds.

    This parameter is available only in clusters of v1.23.14-r0, v1.25.9-r0, v1.27.6-r0, v1.28.4-r0, or later versions.

    NOTE:

    There is no need to set the parameter to a large value for nodes in an unhealthy AZ, and this configuration may result in overloaded clusters.

    Default: 0.01

    Configure this parameter with node-eviction-rate and set it to one-tenth of node-eviction-rate.

    Large Cluster Threshold

    large-cluster-size-threshold

    If the number of nodes in a cluster is greater than the value of this parameter, this is a large cluster.

    This parameter is available only in clusters of v1.23.14-r0, v1.25.9-r0, v1.27.6-r0, v1.28.4-r0, or later versions.

    NOTE:

    kube-controller-manager automatically adjusts configurations for large clusters to optimize the cluster performance. Therefore, an excessively small threshold for small clusters will deteriorate the cluster performance.

    Default: 50

    For the clusters with a large number of nodes, configure a relatively larger value than the default one for higher performance and faster responses of controllers. Retain the default value for small clusters. Before adjusting the value of this parameter in a production environment, check the impact of the change on cluster performance in a test environment.
    Table 4 Extended controller configurations (supported only by clusters of v1.21 and later)

    Item

    Parameter

    Description

    Value

    Enable resource quota management

    enable-resource-quota

    Indicates whether to automatically create a ResourceQuota when creating a namespace. With quota management, you can control the number of workloads of each type and the upper limits of resources in a namespace or related dimensions.

    • false: Auto creation is disabled.
    • true: Auto creation is enabled. For details about the resource quota defaults, see Configuring Resource Quotas.
      NOTE:

      In high-concurrency scenarios (for example, creating pods in batches), the resource quota management may cause some requests to fail due to conflicts. Do not enable this function unless necessary. To enable this function, ensure that there is a retry mechanism in the request client.

    Default: false

  4. Click OK.

References

Parent topic: Managing a Cluster