mirror of https://github.com/easzlab/kubeasz.git
148 lines
4.1 KiB
Markdown
148 lines
4.1 KiB
Markdown
# Helm
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`Helm`致力于成为k8s集群的应用包管理工具，希望像linux 系统的`RPM` `DPKG`那样成功；确实在k8s上部署复杂一点的应用很麻烦，需要管理很多yaml文件（configmap,controller,service,rbac,pv,pvc等等），而helm能够整齐管理这些文档：版本控制，参数化安装，方便的打包与分享等。
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- 建议积累一定k8s经验以后再去使用helm；对于初学者来说手工去配置那些yaml文件对于快速学习k8s的设计理念和运行原理非常有帮助，而不是直接去使用helm，面对又一层封装与复杂度。
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- 本文基于helm 3（建议版本），helm 2 文档[请看这里](helm2.md)
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## 安装 helm
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在官方repo下载[release版本](https://github.com/helm/helm/releases)中自带的二进制文件即可（以Linux amd64为例）
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```
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wget https://get.helm.sh/helm-v3.2.1-linux-amd64.tar.gz
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mv ./linux-amd64/helm /usr/bin
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```
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- 启用官方 charts 仓库
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```
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helm repo add stable https://kubernetes-charts.storage.googleapis.com/
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```
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## 使用 helm 安装应用
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helm3 安装命令与 helm2 稍有变化，个人习惯先下载对应charts到本地然后按照固定目录格式安装，以创建一个redis集群举例：
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- 创建 redis-cluster 目录
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``` bash
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mkdir -p /opt/charts/redis-cluster
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cd /opt/charts/redis-cluster
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```
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- 下载最新stalbe/redis-ha
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```
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helm repo update
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helm pull stable/redis-ha
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```
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- 解压 charts，复制 values.yaml设置
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```
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tar zxvf redis-ha-*.tgz
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cp redis-ha/values.yaml .
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```
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- 创建 start.sh 脚本记录启动命令
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```
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cat > start.sh << EOF
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#!/bin/sh
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set -x
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ROOT=$(cd `dirname $0`; pwd)
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cd $ROOT
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helm install redis \
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--create-namespace \
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--namespace dependency \
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-f ./values.yaml \
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./redis-ha
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EOF
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```
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- 查看当前目录结构如下
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```
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tree .
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.
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├── redis-ha # redis-ha 原始charts目录
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├── start.sh # 启动命名脚本
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└── values.yaml # 个性化参数配置
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```
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- 修改当前目录的 values.yaml 为你的个性化配置
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``` bash
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#举例values.yaml 配置如下，没有启用PV
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#cat values.yaml
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image:
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repository: redis
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tag: 5.0.6-alpine
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replicas: 2
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## Redis specific configuration options
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redis:
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port: 6379
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masterGroupName: "mymaster" # must match ^[\\w-\\.]+$) and can be templated
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config:
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## For all available options see http://download.redis.io/redis-stable/redis.conf
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min-replicas-to-write: 1
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min-replicas-max-lag: 5 # Value in seconds
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maxmemory: "4g" # Max memory to use for each redis instance. Default is unlimited.
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maxmemory-policy: "allkeys-lru" # Max memory policy to use for each redis instance. Default is volatile-lru.
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repl-diskless-sync: "yes"
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rdbcompression: "yes"
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rdbchecksum: "yes"
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resources:
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requests:
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memory: 200Mi
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cpu: 100m
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limits:
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memory: 4000Mi
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## Sentinel specific configuration options
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sentinel:
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port: 26379
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quorum: 1
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resources:
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requests:
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memory: 200Mi
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cpu: 100m
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limits:
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memory: 200Mi
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hardAntiAffinity: true
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## Configures redis with AUTH (requirepass & masterauth conf params)
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auth: false
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persistentVolume:
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enabled: false
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hostPath:
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path: "/data/mcs-redis/{{ .Release.Name }}"
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```
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- 执行安装
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```
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bash ./start.sh
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```
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- 查看安装
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```
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helm ls -A
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NAME NAMESPACE REVISION UPDATED STATUS CHART APP VERSION
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redis dependency 1 2020-05-28 20:57:31.166002853 +0800 CST deployed redis-ha-4.4.4 5.0.6
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# 查看k8s上资源
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kubectl get pod,svc -n dependency
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NAME READY STATUS RESTARTS AGE
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pod/redis-redis-ha-server-0 2/2 Running 0 119s
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pod/redis-redis-ha-server-1 2/2 Running 0 104s
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NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
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service/redis-redis-ha ClusterIP None <none> 6379/TCP,26379/TCP 119s
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service/redis-redis-ha-announce-0 ClusterIP 10.68.41.65 <none> 6379/TCP,26379/TCP 119s
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service/redis-redis-ha-announce-1 ClusterIP 10.68.64.49 <none> 6379/TCP,26379/TCP 119s
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```
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