Elasticsearch + Kibana + Filebeat 日志收集

一、安装准备

1.1 安装docker

安装依赖
yum install -y yum-utils device-mapper-persistent-data lvm2
​
设置yum源
yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
 
安装docker
yum install docker-ce
​
启动docker
systemctl start docker
systemctl enable docker

　　

修改国内源

vi /etc/docker/daemon.json
{
    "registry-mirrors": ["https://registry.docker-cn.com"]
}
​
systemctl restart docker.service

　　

1.2 关闭swap

swapoff -a
​
修改/etc/fstab 注释掉关于swap部分

1.3系统参数修改

echo 'vm.max_map_count=262144' >> /etc/sysctl.conf
sysctl -p
​
vim /etc/security/limits.conf
​
root soft nofile 65535
root hard nofile 65535
* soft nofile 65535
* hard nofile 65535

1.4 docker-compse

curl -L https://get.daocloud.io/docker/compose/releases/download/1.26.1/docker-compose-`uname -s`-`uname -m` > /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose

二、Docker部署ES和Kibana

2.1 准备安装目录

# es
mkdir -p /opt/es/{conf,data,logs}
chown -R 1000.1000 /opt/es
​
#kibana
mkdir -p /opt/kibana/{conf,data}
chown -R 1000.1000 /opt/kibaba
​
#docker-compose
mkdir -p /opt/elk

2.2 准备配置文件

/opt/es/conf/elasticsearch.yml

cluster.name: "es-cluster"
network.host: 0.0.0.0
​
node.name: node1
discovery.zen.minimum_master_nodes: 1
http.port: 9200
transport.tcp.port: 9300
# 如果是多节点es，通过ping来健康检查
# # discovery.zen.ping.unicast.hosts: []
#
​
discovery.zen.fd.ping_timeout: 120s
discovery.zen.fd.ping_retries: 3
discovery.zen.fd.ping_interval: 30s
cluster.info.update.interval: 1m
xpack.security.enabled: false
indices.fielddata.cache.size:  20%
indices.breaker.total.limit: 60%
indices.recovery.max_bytes_per_sec: 100mb
indices.memory.index_buffer_size: 20%
script.painless.regex.enabled: true
​
# 手动指定可以成为 mater 的所有节点的 name 或者 ip，这些配置将会在第一次选举中进行计算
cluster.initial_master_nodes: ["node1"]
 
#   # 支持跨域访问
http.cors.enabled: true
http.cors.allow-origin: "*"
#   # 安全认证
#xpack.security.enabled: false
​
bootstrap.system_call_filter: false

​

/opt/kibana/conf/kibana.yml

kibana.yml
[root@localhost conf]# cat kibana.yml 
# 服务端口
server.port: 5601
# # 服务IP
server.host: "0.0.0.0"
# # ES
elasticsearch.hosts: ["http://elasticsearch:9200"]
# # 汉化
i18n.locale: "zh-CN

/opt/elk/docker-compose.yml

version: "3"
services:
  elasticsearch:
    container_name: elasticsearch
    hostname: node1
    image: elasticsearch:7.1.1
    restart: always
    ports:
      - 9200:9200
      - 9300:9300
    volumes:
      - /opt/es/conf/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
      - /opt/es/data:/usr/share/elasticsearch/data
      - /opt/es/logs:/usr/share/elasticsearch/logs
      - /etc/localtime:/etc/localtime:ro
    environment:
      - "cluster.name=es-cluster"
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
      - "TZ=Asia/Shanghai"
  es-head:
    container_name: es-head
    image: mobz/elasticsearch-head:5
    restart: always
    ports:
      - 9100:9100
    depends_on:
      - elasticsearch
​
  kibana:
    container_name: kibana
    hostname: kibana
    image: kibana:7.1.1
    restart: always
    ports:
      - 5601:5601
    volumes:
      - /opt/kibana/conf/kibana.yml:/usr/share/kibana/config/kibana.yml
      - /opt/kibana/data:/usr/share/kibana/data
      - /etc/localtime:/etc/localtime:ro
    environment:
      - "TZ=Asia/Shanghai"
      - "elasticsearch.hosts=http://es-master:9200"
    depends_on:
      - elasticsearch

启动：

cd /opt/elk
docker-compose up -d

查看：

# docker ps
CONTAINER ID        IMAGE                       COMMAND                  CREATED             STATUS              PORTS                                            NAMES
e9f460804b5e        elasticsearch:7.1.1         "/usr/local/bin/dock…"   22 hours ago        Up 22 hours         0.0.0.0:9200->9200/tcp, 0.0.0.0:9300->9300/tcp   elasticsearch
80e7132c3589        kibana:7.1.1                "/usr/local/bin/kiba…"   23 hours ago        Up 22 hours         0.0.0.0:5601->5601/tcp                           kibana
bfebe88bea8e        mobz/elasticsearch-head:5   "/bin/sh -c 'grunt s…"   23 hours ago        Up 23 hours         0.0.0.0:9100->9100/tcp                           es-head
​

访问：

之后访问 yourip:9100就能访问head了，需要把连接中的localhost改为ip

 

三、安装filebeat

3.1下载filebeat

curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-7.1.1-x86_64.rpm
rpm -ivh filebeat-7.1.1-x86_64.rpm

3.2 修改配置文件

cd /etc/filebeat
mv filebeat.yml filebeat.yml.bak

filebeat.yml

filebeat.inputs:
- type: log
  enabled: true
  paths:
    - /data/logs/pb-dubbo-user/err_*.log
  fields:
    source: dubbo-user
 
- type: log
  enabled: true
  paths:
    - /data/logs/pb-server-admin/err_*.log
  fields:
    source: server-admin
​
- type: log
  enabled: true
  paths:
    - /data/logs/pb-dubbo-product/err_*.log
  fields:
    source: dubbo-product
​
- type: log
  enabled: true
  paths:
    - /data/logs/pb-server-api/err_*.log
  fields:
    source: server-api
​
filebeat.config.modules:
  path: ${path.config}/modules.d/*.yml
  reload.enabled: false
​
setup.template.settings:
  index.number_of_shards: 1
​
# 定义模板的相关信息
setup.template.name: "pb_log"
setup.template.pattern: "pb-*"
setup.template.overwrite: true
setup.template.enabled: true
​
#自定义ES的索引需要把ilm设置为false
setup.ilm.enabled: false
​
​
setup.kibana:
 hosts: "192.168.100.163:5601"
​
output.elasticsearch:
  hosts: ["192.168.100.163:9200"]
  index: "pb-%{[fields.source]}-*"
  indices:
    - index: "pb-dubbo-user"
      when.equals:
        fields.source: "dubbo-user"
    - index: "pb-server-admin"
      when.equals:
        fields.source: "server-admin"
    - index: "pb-server-api"
      when.equals:
        fields.source: "server-api"
    - index: "pb-dubbo-product"
      when.equals:
        fields.source: "dubbo-product"
​
processors:
  - add_host_metadata: ~
  - add_cloud_metadata: ~

为了方便查看应用的错误信息，为每个应用的日志建立索引

 

之后再kibana中创建elasticsearch的索引就行