2018-07-09 18:18:32 +08:00
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# 默认使用kube-proxy的 'iptables' 模式,可选 'ipvs' 模式(experimental)
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PROXY_MODE: "iptables"
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2019-01-10 23:51:50 +08:00
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# 基础容器镜像
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SANDBOX_IMAGE: "mirrorgooglecontainers/pause-amd64:3.1"
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#SANDBOX_IMAGE: "registry.access.redhat.com/rhel7/pod-infrastructure:latest"
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2018-08-29 22:16:50 +08:00
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# Kubelet 根目录
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KUBELET_ROOT_DIR: "/var/lib/kubelet"
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2018-09-11 20:46:46 +08:00
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# node节点最大pod 数
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MAX_PODS: 110
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2019-04-10 23:49:49 +08:00
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# 配置为kube组件(kubelet,kube-proxy,dockerd等)预留的资源量
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2019-05-22 00:06:21 +08:00
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KUBE_RESERVED_ENABLED: "yes"
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2019-07-13 11:01:08 +08:00
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KUBE_RESERVED: "{'cpu':'200m','memory':'500Mi','ephemeral-storage':'1Gi'}"
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2019-06-25 22:55:29 +08:00
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# k8s 官方不建议草率开启 system-reserved, 除非你基于长期监控,了解系统的资源占用状况;并且随着系统运行时间,需要适当增加资源预留
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SYS_RESERVED_ENABLED: "no"
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# 以下系统预留设置基于 4c/8g 虚机,最小化安装系统服务,如果使用高性能物理机请适当增加数值
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2019-07-13 11:01:08 +08:00
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SYS_RESERVED: "{'cpu':'200m','memory':'500Mi','ephemeral-storage':'1Gi'}"
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2019-05-28 23:46:22 +08:00
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# node 请求 apiserver 负载均衡算法,常见如下:
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# "roundrobin": 基于服务器权重的轮询
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# "leastconn": 基于服务器最小连接数
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# "source": 基于请求源IP地址
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# "uri": 基于请求的URI
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BALANCE_ALG: "roundrobin"
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2019-05-29 20:45:25 +08:00
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# 设置 APISERVER 地址
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2019-06-04 13:06:11 +08:00
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KUBE_APISERVER: "{%- if inventory_hostname in groups['kube-master'] -%} \
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https://{{ inventory_hostname }}:6443 \
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2019-05-29 20:45:25 +08:00
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{%- else -%} \
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2019-06-04 13:06:11 +08:00
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{%- if groups['kube-master']|length > 1 -%} \
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https://127.0.0.1:6443 \
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{%- else -%} \
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https://{{ groups['kube-master'][0] }}:6443 \
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{%- endif -%} \
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2019-05-29 20:45:25 +08:00
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{%- endif -%}"
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2019-06-04 13:06:11 +08:00
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# 增加/删除 master 节点时,node 节点需要重新配置 haproxy 等
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MASTER_CHG: "no"
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2019-06-28 19:36:53 +08:00
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# 离线安装 haproxy (offline|online)
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2019-07-03 22:39:23 +08:00
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INSTALL_SOURCE: "online"
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