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    Management Parameters

    Terakhir diperbarui:2024-06-27 11:09:15
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      Overview

      The Management parameters provide a unified entry for common custom configurations of nodes, which allow you to optimize the underlying kernel parameter KernelArgs for native nodes, and also supports setting Kubelet\\Nameservers\\Hosts to meet the environmental requirements of business deployment.

      Management Parameters

      Parameter Item
      Description
      KubeletArgs
      Sets the Kubelet-related custom parameters required for business deployment.
      Nameservers
      Sets the DNS server address required for the business deployment environment.
      Hosts
      Sets the Hosts required for the business deployment environment.
      The business performance can be optimized by setting kernel parameters (if the parameters currently available for configuration do not meet your needs, you can submit a ticket for support).
      Note:
      1. The Kubelet parameters supporting custom configuration are related to the cluster version. If the Kubelet parameters available in the console for the current cluster cannot meet your needs, submit a ticket for support.
      2. To ensure the normal installation of system components, native nodes are by default injected with the official documentation library addresses of Tencent Cloud, namely nameserver = 183.60.83.19, and nameserver = 183.60.82.98.

      Operation Using the Console

      Method 1: Setting Management Parameters for a New Node Pool

      1. Log in to the TKE console, and create a native node by reference to the Creating Native Nodes documentation.
      2. On the Create page, click Advanced Settings, to set the Management parameters for the node, as shown in the figure below:
      
      3. Click Create node pool.

      Method 2: Setting Management Parameters for an Existing Node Pool

      1. Log in to the TKE console, and select Clusters in the left sidebar.
      2. On the cluster list page, click on the target cluster ID to enter the cluster details page.
      3. Select Node Management > Worker Node in the left sidebar, and click on the node pool ID in the Node Pool to enter the node pool details page.
      4. On the node pool details page, click Parameter Settings > Management > Edit to modify the Management parameters, as shown in the figure below:
      
      5. You can check Apply the updates on management to existing nodes, to apply the parameter changes to the existing nodes in the node pool. Once checked, the changes (including deletion, update, and addition) on Management will apply to all nodes (including the existing and new nodes) in the node pool, as shown in the figure below:
      Update increment: The system will update Ops parameters in batches. This parameter defines the number of nodes that can be updated simultaneously in each batch.
      Maximum number of unavailable nodes: If the number of nodes that failed to update (including those being updated) exceeds this set value, the system will pause the update operation.
      
      6. Click Confirm. You can view the update progress and results in the Ops Records of the node pool.
      Warning:
      Certain Kubelet parameters, when applied to the existing nodes, may trigger the restart of business Pods, such as "feature-gates: EnableInPlacePodResize=true", "kube-reserved: xxx", "eviction-hard: xxx", and "max-pods: xxx". It is recommended to operate with caution after assessing the risks.

      Operation Using YAML

      apiVersion: node.tke.cloud.tencent.com/v1beta1
      kind: MachineSet
      spec:
        autoRepair: false
        deletePolicy: Random
        displayName: xxxxxx
        healthCheckPolicyName: ""
        instanceTypes:
        - SA2.2XLARGE8
        replicas: 2
        scaling:
          createPolicy: ZoneEquality
        subnetIDs:
        - subnet-xxxxx
        - subnet-xxxxx
        template:
          spec:
            displayName: tke-np-bqclpywh-worker
            providerSpec:
              type: Native
              value:
                instanceChargeType: PostpaidByHour
                keyIDs:
                - skey-xxxxx
                lifecycle: {}
                management:
                  kubeletArgs:
                  - feature-gates=EnableInPlacePodResize=true
                  - allowed-unsafe-sysctls=net.core.somaxconn
                  - root-dir=/var/lib/test
                  - registry-qps=1000
                  hosts:
                  - Hostnames:
                    - static.fake.com
                    IP: 192.168.2.42
                  nameservers:
                  - 183.60.83.19
                  - 183.60.82.98
                  kernelArgs:
                  - kernel.pid_max=65535
                  - fs.file-max=400000
                  - net.ipv4.tcp_rmem="4096 12582912 16777216"
                  - vm.max_map_count="65535"
                metadata:
                  creationTimestamp: null
                securityGroupIDs:
                - sg-b3a93lhv
                systemDisk:
                  diskSize: 50
                  diskType: CloudPremium
            runtimeRootDir: /var/lib/containerd
        type: Native
      

      KubeletArgs Parameter Description

      1. The kubelet parameters supporting configuration are inconsistent for different accounts and different cluster versions. If the current parameters do not meet your needs, you can submit a ticket to contact us.
      2. The following parameters are not recommended for modification, for they will highly probably affect the normal operation of business on the node:
      container-runtime
      container-runtime-endpoint
      hostname-override
      kubeconfig
      root-dir

      KernelArgs Parameters

      OS parameters supporting adjustment and their allowable values are listed below.

      Sockets and Network Optimization

      For proxy nodes expected to process a large amount of concurrent sessions, you can use the following TCP and network options for adjustment.
      No.
      Parameter
      Default Value
      Allowable Values/Range
      Parameter Type
      Description
      1
      "net.core.somaxconn"
      32768
      4096 - 3240000
      int
      The maximum length of the listening queue for each port in the system.
      2
      "net.ipv4.tcp_max_syn_backlog"
      8096
      1000 - 3240000
      int
      The maximum length of the TCP SYN queue.
      3
      "net.core.rps_sock_flow_entries"
      8192
      1024 - 536870912
      int
      The maximum size of the hash table for RPS.
      4
      "net.core.rmem_max"
      16777216
      212992 - 134217728
      int
      The maximum size, in bytes, of the socket receiving buffer.
      5
      "net.core.wmem_max"
      16777216
      212992 - 134217728
      int
      The maximum size, in bytes, of the socket sending buffer.
      6
      "net.ipv4.tcp_rmem"
      "4096 12582912 16777216"
      1024 - 2147483647
      string
      The minimum/default/maximum size of TCP socket receiving buffer.
      7
      "net.ipv4.tcp_wmem"
      "4096 12582912 16777216"
      1024 - 2147483647
      string
      The minimum/default/maximum size of TCP socket sending buffer.
      8
      "net.ipv4.neigh.default.gc_thresh1"
      2048
      128 - 80000
      int
      The minimum number of entries that can be retained. If the number of entries is less than this value, the entries will not be recycled.
      9
      "net.ipv4.neigh.default.gc_thresh2"
      4096
      512 - 90000
      int
      When the number of entries exceeds this value, the GC will clear the entries longer than 5 seconds.
      10
      "net.ipv4.neigh.default.gc_thresh3"
      8192
      1024 - 100000
      int
      The maximum allowable number of non-permanent entries.
      11
      "net.ipv4.tcp_max_orphans"
      32768
      4096 - 2147483647
      int
      The maximum number of TCP sockets not attached to any user file handle or held by the system. Increase this parameter value properly to avoid the "Out of socket memory" error when the load is high.
      12
      "net.ipv4.tcp_max_tw_buckets"
      32768
      4096 - 2147483647
      int
      The maximum number of timewait sockets held by the system simultaneously. Increase this parameter value properly to avoid the "TCP: time wait bucket table overflow" error.

      File Descriptor Limits

      Large amounts of traffic in service usually come from a large number of local files. You can slightly adjust the following kernel settings and built-in limits so that only a part of the system memory is used to handle larger traffic.
      No.
      Parameter
      Default Value
      Allowable Values/Range
      Parameter Type
      Description
      1
      "fs.file-max"
      3237991
      8192 - 12000500
      int
      The limit on the total number of file descriptors (FDs), including sockets, in the entire system.
      2
      "fs.inotify.max_user_instances"
      8192
      1024 - 2147483647
      int
      The limit on the total number of inotify instances.
      3
      "fs.inotify.max_user_watches"
      524288
      781250 - 2097152
      int
      The limit on the total number of inotify watches. Increase this parameter value to avoid the "Too many open files" error.

      Virtual Memory

      The following setting can be used to adjust the operations of the Linux kernel virtual memory (VM) subsystem and the writeout of dirty data on disks.
      No.
      Parameter
      Default Value
      Allowable Values/Range
      Parameter Type
      Description
      1
      "vm.max_map_count"
      262144
      65530 - 262144
      int
      The maximum number of memory map areas a process can have.

      Worker Thread Limits

      No.
      Parameter
      Default Value
      Allowable Values/Range
      Parameter Type
      Description
      1
      "kernel.threads-max"
      4194304
      4096 - 4194304
      int
      The system-wide limit on the number of threads (tasks) that can be created on the system.
      2
      "kernel.pid_max"
      4194304
      4096 - 4194304
      int
      The system-wide limit on the total number of processes and threads. PIDs greater than this value are not allocated.
      
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