docker搭建ELK集群

首先安装docker,需要centos7的机子,centos6的百度自己折腾

#安装docker
yum install -y docker-io 
systemctl start docker

进入正题,这里搭建的是ELK7.2版本

  1. 搭建elasticsearch
  • 修改内核参数
    vim /etc/sysctl.conf
vm.max_map_count = 655360
vm.swappiness = 1
  • 进入data 创建目录elk
    cd /data && mkdir elk
  • 进入elk,创建目录data logs
    cd elk
    mkdir data
    mkdir logs
  • 回到data 授予elk1000:1000权限(es默认权限是1000)
    cd /data
    chown 1000:1000 elk -R
  • 接下来是证书,就不折腾了,直接上链接

链接: https://pan.baidu.com/s/1giKC… 提取码: gxye
文件上传到/data/elk/certs

  • 这里搭建的是4个节点的es,在4台机子分别建目录,其中备选主节点设置个数为(节点数 / 2 + 1),我设置的是第一个节点作为数据节点,然后分别执行以下命令
docker run --name ES   \
        -d --net=host \
        --restart=always \
        --privileged=true \
        --ulimit nofile=655350 \
        --ulimit memlock=-1 \
        --memory=16G \ #根据你服务器的内存来设置#
        --memory-swap=-1 \
        --volume /data:/data \
        --volume /data/elk/logs:/usr/share/elasticsearch/logs \
        --volume /data/elk/certs:/usr/share/elasticsearch/config/certs \
        --volume /etc/localtime:/etc/localtime \
        -e TERM=dumb \
        -e ELASTIC_PASSWORD='changeme' \ #账号密码默认是elastic  这里设置密码changeme#
        -e ES_JAVA_OPTS="-Xms8g -Xmx8g" \ #运行指定内存为服务器内存一般#
        -e cluster.name="my-es" \ #自定义集群名字#
        -e node.name="node-1" \ #分别设置各个节点的节点名#
        -e node.master=true \ #备选主节点为true 数据节点为false#
        -e node.data=true \
        -e node.ingest=false \
        -e node.attr.rack="0402-K03" \
        -e discovery.seed_hosts="*.*.*.*,*.*.*.*,*.*.*.*,*.*.*.*" \ #4台机子的ip#
        -e xpack.security.enabled=true  \
        -e xpack.security.transport.ssl.enabled=true  \
        -e xpack.security.transport.ssl.verification_mode=certificate  \
        -e xpack.security.transport.ssl.keystore.path="certs/elastic-certificates.p12"  \
        -e xpack.security.transport.ssl.truststore.path="certs/elastic-certificates.p12"  \
        -e xpack.monitoring.collection.enabled=true  \
        -e xpack.monitoring.exporters.my_local.type=local \
        -e xpack.monitoring.exporters.my_local.use_ingest=false \
        -e gateway.recover_after_nodes=1 \
        -e network.host=*.*.*.* \ #本机ip#
        -e network.publish_host=*.*.*.* \ #本机ip#
        -e transport.tcp.port=9300 \
        -e http.port=9200 \
        -e path.data=/data/elk/data \
        -e path.logs=logs \
        -e bootstrap.memory_lock=true \
        -e bootstrap.system_call_filter=false \
        -e indices.fielddata.cache.size="25%" \
        elasticsearch:7.2.0

去掉##和中间的东西 执行就可以了

  • 完成以后就可以执行以下命令看一下日志了

docker logs ES -f

  • 检测一下结果
curl --user elastic:changeme -XGET http://ip:9200/_cat/indices

《docker搭建ELK集群》

看到这张图(图放的是双节点的图)就代表你搭建成功了,number_of_nodes代表的节点数 最后一个参数代表加载了多少

2.搭建kibana

  • 搭建kibana比较简单,先拉一下镜像
docker pull kibana
  • 执行命令开启服务
docker run --name kibana \
        --restart=always \
        -d --net=host \
        -v /data:/data \
        -v /etc/localtime:/etc/localtime \
        --privileged \
        -e TERM=dumb \
        -e SERVER_HOST=0.0.0.0 \
        -e SERVER_PORT=5601 \
        -e SERVER_NAME=Kibana-100 \
        -e ELASTICSEARCH_HOSTS=http://localhost:9200 \
        -e ELASTICSEARCH_USERNAME=elastic \
        -e ELASTICSEARCH_PASSWORD=changeme \
        -e XPACK_MONITORING_UI_CONTAINER_ELASTICSEARCH_ENABLED=true \
        -e LOG_FILE=/data/elasticsearch/logs/kibana.log \
        kibana:7.2.0
  • kibana搭建比较简单,接下来就做个nginx设置一下就好了,给个简单的配置
server {
        listen       80;
        #listen       [::]:80 default_server;
        #server_name  ;
        #root         /usr/share/nginx/html;

        # Load configuration files for the default server block.
        include /etc/nginx/default.d/*.conf;

        location / {
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header Host  $http_host;
        proxy_set_header X-Nginx-Proxy true;
        proxy_set_header Connection "";
        proxy_pass      http://127.0.0.1:5601;

        }

        error_page 404 /404.html;
            location = /40x.html {
        }

        error_page 500 502 503 504 /50x.html;
            location = /50x.html {
        }
}
  1. logstash安装
  • 创建目录授权
cd /data
mkdir config
cd config
mkdir pipeline
cd /data
chown 1000:1000 config
  • 在config中创建以下文件

vim log4j2.properties


logger.elasticsearchoutput.name = logstash.outputs.elasticsearch
logger.elasticsearchoutput.level = debug

vim logstash.yml
内容直接放空,wq出来就好

vim pipelines.yml

- pipeline.id: my-logstash
  path.config: "/usr/share/logstash/config/pipeline/*.conf"
  pipeline.workers: 3

紧接着进入pipeline目录,创建要

cd pipeline
vim redis2es.conf
input {
    redis {
        data_type => "list"
        codec => "json"
        key => "xxx"
        host => "xxxxxxx"
        port => 6379
        password => "xxxxxx"
        threads => 1
        batch_count => 100
    }
}
output {
    elasticsearch {
        hosts => ["ip1:9200"]
        index => "%{srv}-%{type}-%{+yyyy.MM.dd}"
        document_type => "%{type}"
        user => "elastic"
        password => "changme"
    }
    file {
        path => "/usr/share/logstash/%{srv}-%{type}-%{+yyyyMMdd}.log"
        gzip => true
        flush_interval => 10
        workers => 1
    }
}

以上xxx请自行脑补

  1. elk数据迁移

我这里使用的是logstash,速度挺快的,配置文件如下

#logstash 输入插件
input {
  elasticsearch {
    hosts => [ "*.*.*.*:9200" ] #来源集群
    index => "*"
    user => "elastic"
    password => "changeme"

  }
}


#logstash 输出插件
output {
  elasticsearch {
    hosts => [ "*.*.*.*:9200" ] #目标集群
    index => "%{[@metadata][_index]}" # 和来源索引相同
    user => "elastic"
    password => "changeme"

  }
}
    原文作者:leanxi
    原文地址: https://segmentfault.com/a/1190000019792271
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