[root@ecs7 efk]# curl -L -O https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.12.0-linux-x86_64.tar.gz
[root@ecs7 efk]# curl -L -O https://artifacts.elastic.co/downloads/kibana/kibana-7.12.0-linux-x86_64.tar.gz
[root@ecs7 efk]# curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-7.12.0-linux-x86_64.tar.gz

2、创建用户并授权

[root@ecs7 efk]# groupadd elastic
[root@ecs7 efk]# useradd -g elastic elasticsearch
[root@ecs7 efk]# chown -R elasticsearch:elastic /data/efk/

3、安装并启动

3.1 使用elasticsearch账号安装启动

>3.1.1 解压 elasticsearch

[root@ecs7 efk]# su elasticsearch
[elasticsearch@ecs7 efk]$ tar -zxvf elasticsearch-7.12.0-linux-x86_64.tar.gz

>3.1.2 配置 elasticsearch

[elasticsearch@ecs7 efk]$ cd elasticsearch-7.12.0/config/

备份原始配置文件

[elasticsearch@ecs7 config]$ cp elasticsearch.yml elasticsearch.yml.org

elasticsearch.yml 全文（本次部署为单节点部署）

# 集群名称
cluster.name: test-efk
# 节点名称
node.name: master
# 索引数据存储目录
path.data: /data/efk/elasticsearch-7.12.0/data
# 日志
path.logs: /data/efk/elasticsearch-7.12.0/dlogs
# 外网访问
network.host: 0.0.0.0

# 端口
http.port: 9200
# 自动创建索引
action.auto_create_index: .security,.monitoring*,.watches,.triggered_watches,.watcher-history*,app-a-*,app-b-*

# 节点网络
discovery.seed_hosts: ["191.168.0.107"]
# 当前节点类型
cluster.initial_master_nodes: ["master"]

>3.1.3 启动elasticsearch

[elasticsearch@ecs7 efk]$ cd elasticsearch-7.12.0/bin/
[elasticsearch@ecs7 bin]$ ./elasticsearch -d
[elasticsearch@ecs7 bin]$ ERROR: [1] bootstrap checks failed. You must address the points described in the following [1] lines before starting Elasticsearch.
bootstrap check failure [1] of [1]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]
ERROR: Elasticsearch did not exit normally - check the logs at /data/efk/elasticsearch-7.12.0/dlogs/test-efk.log

启动es会有出现异常，解决方案，参照博客：https://blog.csdn.net/F1004145107/article/details/106279907/

>3.1.4 访问

http://localhost:9200

[elasticsearch@ecs7 bin]$ curl http://localhost:9200
{
  "name" : "master",
  "cluster_name" : "test-efk",
  "cluster_uuid" : "Hovo67CRTF2zMnygQJ-2NQ",
  "version" : {
    "number" : "7.12.0",
    "build_flavor" : "default",
    "build_type" : "tar",
    "build_hash" : "78722783c38caa25a70982b5b042074cde5d3b3a",
    "build_date" : "2021-03-18T06:17:15.410153305Z",
    "build_snapshot" : false,
    "lucene_version" : "8.8.0",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

3.2 安装启动kibana

>3.2.1 解压 kibana

[root@ecs7 efk]# su elasticsearch
[elasticsearch@ecs7 efk]$ tar -zxvf kibana-7.12.0-linux-x86_64.tar.gz

>3.2.2 配置 kibana

[elasticsearch@ecs7 efk]$ cd kibana-7.12.0-linux-x86_64
[elasticsearch@ecs7 kibana-7.12.0-linux-x86_64]$ cd config/
[elasticsearch@ecs7 config]$ cp kibana.yml kibana.yml.org

备份原始配置文件

[elasticsearch@ecs7 config]$ cp kibana.yml kibana.yml.org

kibana.yml 全文

# 端口
server.port: 5601
# 主机
server.host: "0.0.0.0"
# 名称
server.name: "master"
# es集群地址
elasticsearch.hosts: ["http://127.0.0.1:9200"]
# 日志目录
logging.dest: /data/efk/kibana-7.12.0-linux-x86_64/logs/kibana.log

>3.2.3 启动kibana

[elasticsearch@ecs7 kibana-7.12.0-linux-x86_64]$ ll
total 1476
drwxr-xr-x   2 elasticsearch elastic    4096 Mar 18 13:56 bin
drwxr-xr-x   2 elasticsearch elastic    4096 Apr 13 09:53 config
drwxr-xr-x   2 elasticsearch elastic    4096 Apr  7 11:26 data
-rw-r--r--   1 elasticsearch elastic    3860 Mar 18 13:55 LICENSE.txt
drwxr-xr-x   2 elasticsearch elastic    4096 Apr  7 11:26 logs
drwxr-xr-x   6 elasticsearch elastic    4096 Mar 18 13:55 node
drwxr-xr-x 831 elasticsearch elastic   36864 Mar 18 13:55 node_modules
-rw-r--r--   1 elasticsearch elastic 1428396 Mar 18 13:55 NOTICE.txt
-rw-r--r--   1 elasticsearch elastic     740 Mar 18 13:55 package.json
drwxr-xr-x   2 elasticsearch elastic    4096 Mar 18 13:55 plugins
-rw-r--r--   1 elasticsearch elastic    3968 Mar 18 13:55 README.txt
drwxr-xr-x  12 elasticsearch elastic    4096 Mar 18 13:55 src
drwxr-xr-x   3 elasticsearch elastic    4096 Mar 18 13:55 x-pack
[elasticsearch@ecs7 kibana-7.12.0-linux-x86_64]$ cd bin
[elasticsearch@ecs7 bin]$ ll
total 16
-rwxr-xr-x 1 elasticsearch elastic 850 Mar 18 13:55 kibana
-rwxr-xr-x 1 elasticsearch elastic 783 Mar 18 13:55 kibana-encryption-keys
-rwxr-xr-x 1 elasticsearch elastic 776 Mar 18 13:55 kibana-keystore
-rwxr-xr-x 1 elasticsearch elastic 813 Mar 18 13:55 kibana-plugin
[elasticsearch@ecs7 bin]$ ./kibana &

>3.2.4 访问

浏览器访问 http://localhost:5601

3.3 安装启动filebeat

filebeat 不一定要跟es放在同一台服务器，可以是本机可以是其他服务器，它是一个采集工具，可以将数据推送至es，以下采用本机演示

>3.3.1 解压 & 配置 filebeat

备份原始配置文件

filebeat.yml 全文


# ============================== Filebeat inputs ===============================
filebeat.inputs:
- type: log
  enabled: true
  encoding: UTF-8
  # Paths that should be crawled and fetched. Glob based paths.
  paths:
  #需要采集的日志文件
    - D:/data/**/*.log
  json.key_under_root: true
  json.overwrite_keys: true
  json.message_key: message
  json.add_error_key: true
  tags: ["saas"]
    
# ============================== Filebeat modules ==============================
filebeat.config.modules:
  # Glob pattern for configuration loading
  path: ${path.config}/modules.d/*.yml
  # Set to true to enable config reloading
  reload.enabled: false
  # Period on which files under path should be checked for changes
  #reload.period: 10s
# ======================= Elasticsearch template setting =======================
setup.template.settings:
  index.number_of_shards: 1
  #index.codec: best_compression
  #_source.enabled: false

setup.kibana:
# ---------------------------- Elasticsearch Output ----------------------------
output.elasticsearch:
  # Array of hosts to connect to.
# es 地址
  hosts: ["191.168.0.107：9200"]
  
processors:
  - add_host_metadata:
      when.not.contains.tags: forwarded
  - add_cloud_metadata: ~
  - add_docker_metadata: ~
  - add_kubernetes_metadata: ~
# 日志时间处理
  - timestamp:
      field: json.@timestamp
      timezone: Asia/Shanghai
      layouts:
        - '2006-01-02T15:04:05+08:00'
        - '2006-01-02T15:04:05.999+08:00'
      test:
        - '2019-06-22T16:33:51+08:00'
        - '2019-11-18T04:59:51.123+08:00'
# 删除相关字段        
  - drop_fields:
      fields: [json.@version,json.level_value,json.@timestamp]
# 重命名字段
  - rename:
      fields:
        - from: "json.logName"
          to: "json.appName"
      ignore_missing: false
      fail_on_error: true

>3.3.3 启动filebeat

使用cmd运行 filebeat.exe

3.4 springboot logback配置

pom.xml 新增logstash-logback-encoder依赖，logstash-logback-encoder可以将日志以json的方式输出，也不用我们单独处理多行记录问题

<dependency>
    <groupId>net.logstash.logback</groupId>
    <artifactId>logstash-logback-encoder</artifactId>
    <version>5.3</version>
</dependency>

<?xml version="1.0" encoding="UTF-8"?>
<configuration scan="true" scanPeriod="30 seconds">
    <!-- 部分参数需要来源于properties文件 -->
    <springProperty scope="context" name="logName" source="spring.application.name" defaultValue="localhost.log"/>

    <!-- %m输出的信息,%p日志级别,%t线程名,%d日期,%c类的全名,,,, -->
    <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
        <encoder>
            <pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger - %msg%n</pattern>
            <charset>UTF-8</charset>
        </encoder>
    </appender>

    <appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
        <file>logs/${logName}/${logName}.log</file>    <!-- 使用方法 -->
        <append>true</append>
        <rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
            <fileNamePattern>logs/${logName}/${logName}-%d{yyyy-MM-dd}.log.%i</fileNamePattern>
            <maxFileSize>64MB</maxFileSize>
            <maxHistory>30</maxHistory>
            <totalSizeCap>1GB</totalSizeCap>
        </rollingPolicy>
        <encoder class="net.logstash.logback.encoder.LogstashEncoder" >
            <providers>
                <timestamp>
                    <timeZone>Asia/Shanghai</timeZone>
                </timestamp>
                <pattern>
                    <pattern>{"level": "%level","class": "%logger{40}","message": "%message","stack_trace": "%exception"}</pattern>
                </pattern>
            </providers>
        </encoder>
    </appender>

    <!-- 只打印error级别的内容 -->
    <logger name="com.netflix" level="ERROR" />
    <logger name="net.sf.json" level="ERROR" />
    <logger name="org.springframework" level="ERROR" />
    <logger name="springfox" level="ERROR" />

    <!-- sql 打印 配置-->
    <logger name="com.github.pagehelper.mapper" level="DEBUG" />
    <logger name="org.apache.ibatis" level="DEBUG" />

    <root level="info">
        <appender-ref ref="STDOUT" />
        <appender-ref ref="FILE" />
    </root>
</configuration>

启动springboot服务，生成的日志会自动被filebeat采集并推送到es。

最终效果