kibana显示es集群状态 kibana集群配置

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误会一场 2024-07-19 11:14:19

文章标签 kibana显示es集群状态 kibana配置nginx windows搭建grafana kafka nginx 文章分类 架构后端开发

kibana显示es集群状态 kibana集群配置_kibana配置nginx

ELK集群搭建

1. ELK是什么？

ELK是三个开源软件的缩写，分别表示：Elasticsearch , Logstash, Kibana，也可以指elk技术栈，包含一系列的组件。

Elasticsearch是一个分布式、高扩展、高实时的搜索与数据分析引擎。它能很方便的使大量数据具有搜索、分析和探索的能力。充分利用ElasticSearch的水平伸缩性，能使数据在生产环境变得更有价值。ElasticSearch 的实现原理主要分为以下几个步骤，首先用户将数据提交到Elastic Search 数据库中，再通过分词控制器去将对应的语句分词，将其权重和分词结果一并存入数据，当用户搜索数据时候，再根据权重将结果排名，打分，再将返回结果呈现给用户。它的特点有：分布式，零配置，自动发现，索引自动分片，索引副本机制，restful风格接口，多数据源，自动搜索负载等。

Logstash是开源的服务器端数据处理管道，能够同时从多个来源采集数据，转换数据，然后将数据发送到您最喜欢的“存储库”中。一般用在日志的搜集、分析、过滤，支持大量的数据获取方式。

Kibana

Filebeat隶属于Beats。目前Beats包含四种工具： 1. Packetbeat（收集网络流量数据） 2. Topbeat（收集系统、进程和文件系统级别的 CPU 和内存使用情况等数据） 3. Filebeat（收集文件数据） 4. Winlogbeat（搜集 Windows 事件日志数据） 5. heartbeat（用于系统或者应用监控）

官方文档地址https://www.elastic.co/guide/index.html 官方下载地址https://www.elastic.co/cn/downloads/

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2. 集群设计

本文集群基于elasticsearch 7.2.0 组件实现，并作为笔者工作所设计系统的的一个组成部分，包括了elasticsearch、logstash、kibana、filebeat、elasticsearch-head插件、中文分词插件IK以及kafka，ELK7版本较之前版本主要配置有些变化，为避免版本不一致踩坑付出不必要学习成本，请尽量保持版本一致性，熟悉后可查询官方文档使用最新版。本文档只做集群安装配置说明，组件相关更多功能和配置后期有空会增加系列文章，有兴趣同学可以先自行查阅官方文档说明。

2.1 总体架构

系统总体数据流如下图，其中agent使用了filebeat，用来搜集处理nginx反向代理服务的日志以及WEB应用日志，数据搜集后统一发送给kafka集群，其他组件可以消费原始数据，也可以走logstash->elasticwearch进行简单的日志归集与统计分析

kibana显示es集群状态 kibana集群配置_windows搭建grafana_02

3. Nginx

3.1 格式化nginx access日志

为方便处理数据，将相关Nginx日志格式化为json格式，减少后期转换开销，比这nginx使用的淘宝Tegine版本，可能部分字段没有，没有的字段值若未加引号，会导致logstash json过滤器处理异常，请注意。nginx日志字段及格式语法可参见官方文档http://nginx.org/en/docs/http/ngx_http_log_module.html。另外filebeat提供了nginx等众多组件的官方模块，启用后可以快速配置nginx的模块处理，本文档未使用官方模块，为自定义处理方式。(nginx.conf)

log_format main  '{"bytes_sent":$bytes_sent,'
#      '"content_length": $content_length,'
#      '"content_type": "$content_type",'
      '"http_x_forwarded_for": "$http_x_forwarded_for",'
      '"http_referer": "$http_referer",'
      '"http_user_agent": "$http_user_agent",'
#      '"document_root": "$document_root",'
      '"document_uri": "$document_uri",'
      '"host": "$host",'
#      '"hostname": "$hostname",'
      '"pid": $pid,'
      '"proxy_protocol_addr": "$proxy_protocol_addr",'
#      '"proxy_protocol_port": $proxy_protocol_port,'
#      '"realpath_root": "$realpath_root",'
      '"remote_addr": "$remote_addr",'
      '"remote_port": "$remote_port",'
      '"remote_user": "$remote_user",'
      '"request": "$request",'
      '"request_filename": "$request_filename",'
#      '"request_id": "$request_id",'
      '"request_length": $request_length,'
      '"request_method": "$request_method",'
      '"request_time": "$request_time",'
      '"request_uri": "$request_uri",'
      '"scheme": "$scheme",'
      '"sent_http_name": "$sent_http_name",'
      '"server_addr": "$server_addr",'
      '"server_name": "$server_name",'
      '"server_port": $server_port,'
      '"server_protocol": "$server_protocol",'
      '"status": "$status",'
      '"time_iso8601": "$time_iso8601",'
      '"time_local": "$time_local",'
      '"upstream_addr": "$upstream_addr",'
#      '"upstream_bytes_received": $upstream_bytes_received,'
      '"upstream_cache_status": "$upstream_cache_status",'
      '"upstream_http_name": "$upstream_http_name",'
      '"upstream_response_length": "$upstream_response_length",'
      '"upstream_response_time": "$upstream_response_time",'
      '"upstream_status": "$upstream_status"}';

4. filebeat

4.1 安装与部署

下载并解压到指定目录
创建data目录
编辑配置文件
启动filebeat
停止filebeat

#下载并解压到指定目录
tar -zxvf filebeat-7.2.0-linux-x86_64.tar.gz -C /usr/local/elk/

4.2 配置(filebeat.yml)

以下展示出的默认文件中增加的配置，这里output输出使用的kafka，请注释掉输出到其他组件的配置

#=========================== Filebeat inputs =============================

filebeat.inputs:

# Each - is an input. Most options can be set at the input level, so
# you can use different inputs for various configurations.
# Below are the input specific configurations.

- type: log

  # Change to true to enable this input configuration.
  enabled: true

  # Paths that should be crawled and fetched. Glob based paths.
  # 可配置多个路径
  paths:
    - /home/elk/logs/nginx/access*.log

  # 以下是filebeat中自定义字段，方便后期区分数据进行进一步处理  
  fields:
    ServerIp: 10.11.48.160
    ApplicationId: elk-global-nginx
    ApplicationDescribe: elk-global-nginx
    LogType: "access"
    LogLabel: "access"

- type: log

  # Change to true to enable this input configuration.
  enabled: true

  # Paths that should be crawled and fetched. Glob based paths.
  paths:
    - /home/elk/logs/nginx/error*.log

  fields:
    ServerIp: 10.11.48.160
    ApplicationId: elk-global-nginx
    ApplicationDescribe: elk-global-nginx
    LogType: "error"
    LogLabel: "error"


- type: log

  # Change to true to enable this input configuration.
  enabled: true

  # Paths that should be crawled and fetched. Glob based paths.
  paths:
    - /home/elk/logs/ConsoleGlobal.*

  fields:
    ServerIp: 10.11.48.160
    ApplicationId: elk-global-console
    ApplicationDescribe: elk-global-console
    LogType: "server"
    LogLabel: "server"

  # filebeat读取日志内容是按行读取的，一般日志都是按行打印，但是可能存在类似java异常信息多行情况就需要对多行特殊处理    
  multiline:
      pattern: '^[[:space:]]+(at|.{3})b|^Caused by:'
      negate: false
      match: after

- type: log

  # Change to true to enable this input configuration.
  enabled: true

  # Paths that should be crawled and fetched. Glob based paths.
  paths:
    - /home/elk/logs/ELKLog.*

  fields:
    ServerIp: 10.11.48.160
    ApplicationId: ELK-global-main
    ApplicationDescribe: ELK-global-main
    LogType: "server"
    LogLabel: "server"

  multiline:
      pattern: '^[[:space:]]+(at|.{3})b|^Caused by:'
      negate: false
      match: after

- type: log

  # Change to true to enable this input configuration.
  enabled: true

  # Paths that should be crawled and fetched. Glob based paths.
  paths:
    - /home/ELK/logs/test/*.log

  fields:
    ServerIp: 10.11.48.160
    ApplicationId: ELK-test
    ApplicationDescribe: ELK-test
    LogType: "server"
    LogLabel: "server"


#----------------------------- kafka output -----------------------------------
output.kafka:
  enabled: true
  # initial brokers for reading cluster metadata
  hosts: ["10.11.48.160:9092", "10.11.48.161:9092", "10.11.48.165:9092"]

  # message topic selection + partitioning
  topic: '%{[fields][ApplicationId]}-%{[fields][LogType]}'
  partition.round_robin:
    reachable_only: false

  compression: gzip

5. zookeeper

kafka依赖zookeeper，安装kafka前需先安装配置zookeeper集群 1. 下载zookeeper：https://zookeeper.apache.org/releases.html 2. 配置zookeeper(zoo.cfg)

#zk存放数据的目录，zk 需要有一个叫做myid的文件也是放到（必须）这个目录下,集群环境不得重复，myid文件中编号需与zoo.cfg中一直，zookeeper编号从1开始

dataDir=/usr/local/elk/apache-zookeeper-3.5.5/data 

dataLogDir=/usr/local/elk/apache-zookeeper-3.5.5/logs

clientPort=2181

#最大客户端连接数

maxClientCnxns=20

#是作为Zookeeper服务器之间或客户端与服务器之间维持心跳的时间间隔

tickTime=2000

#此配置表示，允许follower(相对于Leaderer言的“客户端”)连接并同步到Leader的初始化连接时间，以tickTime为单位。当初始化连接时间超过该值，则表示连接失败。

initLimit=10

#此配置项表示Leader与Follower之间发送消息时，请求和应答时间长度。如果follower在设置时间内不能与leader通信，那么此follower将会被丢弃。

syncLimit=5

#server.myid=ip:followers_connect to the leader:leader_election # server 是固定的，myid 是需要手动分配，第一个端口是follower是链接到leader的端口，第二个是用来选举leader 用的port

server.1=10.11.48.160:2888:3888

server.2=10.11.48.161:2888:3888

server.3=10.11.48.165:2888:3888

配置环境变量(~/.bash_profile)

ZOOKEEPER_HOME=/usr/local/elk/apache-zookeeper-3.5.5
PATH=$HOME/.local/bin:$HOME/bin:$ZOOKEEPER_HOME/bin:$PATH
export  ZOOKEEPER_HOME PATH

操作步骤

cd data

6. kafka

下载kafka：https://kafka.apache.org/downloads
配置kafka（server.properties） broker.id集群不得重复

#每个server需要单独配置broker id，如果不配置系统会自动配置。
##集群其他服务器需要改动
broker.id=0 

#消费者的访问端口，logstash或者elasticsearch
##集群其他服务器需要改动
listeners=PLAINTEXT://10.11.48.160:9092 

#接收和发送网络信息的线程数

num.network.threads=3

#服务器用于处理请求的线程数，其中可能包括磁盘I/O。

num.io.threads=8

#套接字服务器使用的发送缓冲区(SO_SNDBUF)

socket.send.buffer.bytes=102400

#套接字服务器使用的接收缓冲区(SO_RCVBUF)

socket.receive.buffer.bytes=102400

#套接字服务器将接受的请求的最大大小(防止OOM)。

socket.request.max.bytes=104857600

#以逗号分隔的目录列表，其中存储日志文件。
#此目录要先创建，不会自动创建。（如果不行就关闭此选项）
log.dirs=/usr/local/elk/kafka_2.12-2.3.0/logs 

num.partitions=1

num.recovery.threads.per.data.dir=1

offsets.topic.replication.factor=1

transaction.state.log.replication.factor=1

transaction.state.log.min.isr=1

#设置zookeeper的连接端口 消费的时候要以这个端口消费
zookeeper.connect=10.11.48.160:2181,10.11.48.161:2181,10.11.48.165:2181

zookeeper.connection.timeout.ms=6000

group.initial.rebalance.delay.ms=0

启停及常用命令

#启动
kafka-server-start.sh -daemon ../config/server.properties

7. logstash

下载并解压到指定目录
配置logstash（logstash.conf） logstash建议至少配置两台，kafka使用不同消费地址。如果只是试验搭建可以不用写过滤器以及根据不同类型的匹配。可参考官方文档简单的配置例子。

# Sample Logstash configuration for creating a simple
# Beats -> Logstash -> Elasticsearch pipeline.

input {
    #用户系统控台日志
    kafka{
        bootstrap_servers => "10.11.48.160:9092"
        topics =>  ["elk-console-server"]
                    group_id => "elk-console-server"
                    type => "elk-console-server"
    }
    #用户系统国际版控台日志
    kafka{
        bootstrap_servers => "10.11.48.160:9092"
        topics =>  ["elk-global-console-server"]
                    group_id => "elk-global-console-server"
                    type => "elk-global-console-server"
    }
    #用户系统应用服务器日志   
    kafka{
        bootstrap_servers => "10.11.48.160:9092"
        topics =>  ["elk-main-server"]
                    group_id => "elk-main-server"
                    type => "elk-main-server"
    }
    #用户系统国际版应用服务器日志   
    kafka{
        bootstrap_servers => "10.11.48.160:9092"
        topics =>  ["elk-global-main-server"]
                    group_id => "elk-global-main-server"
                    type => "elk-global-main-server"
    }
    #国际版nginx日志
    kafka{
            bootstrap_servers => "10.11.48.160:9092"
            topics =>  ["elk-global-nginx-access"]
                        group_id => "elk-global-nginx-access"
                        type => "elk-global-nginx-access"
    } 
    #用户系统nginx日志
    kafka{
            bootstrap_servers => "10.11.48.160:9092"
            topics =>  ["elk-nginx-access"]
                        group_id => "elk-nginx-access"
                        type => "elk-nginx-access"
    } 
    #用户系统nginx日志  
    kafka{
            bootstrap_servers => "10.11.48.160:9092"
            topics =>  ["elk-nginx-error"]
                        group_id => "elk-nginx-error"
                        type => "elk-nginx-error"
    }
    #国际版nginx日志  
    kafka{
            bootstrap_servers => "10.11.48.160:9092"
            topics =>  ["elk-global-nginx-error"]
                        group_id => "elk-global-nginx-error"
                        type => "elk-global-nginx-error"
    }
    #elk测试用户系统日志   
    kafka{
            bootstrap_servers => "10.11.48.160:9092"
            topics =>  ["elk-test-server"]
                        group_id => "elk-test-server"
                        type => "elk-test-server"
    }   
}

filter{ 
    #处理nginx日志
    if [type] in ["elk-global-nginx-access", "elk-nginx-access"]{
        #filebeat过来的数据,要先经过一层解析,得到的message才是真实的日志内容
        #测试kafka过来的数据,会解析两次,但无所谓，不影响结果
        json{
            source => "message"
            #target => "jsoncontent"
        }
        #这一层，才是解析日志内容
        json{
            source => "message"
            #target => "jsoncontent"

        }

        ruby {
              code => "event.set('index_day', event.get('@timestamp').time.localtime + 8*60*60)"
        }

        mutate{
            #remove_field => ["_@timestamp"]
            convert => ["index_day", "string"]
                    gsub => ["index_day", "T([Ss]*?)Z", ""]
                    gsub => ["index_day", "-", "."]
        }

        #if ["time_iso8601"]
        #date {
        #   match => ["time_iso8601", "yyyy-MM-dd'T'HH:mm:ss Z"]
        #   target => "@timestamp"
        #}


        useragent{
            source => "http_user_agent"
            target => "useragent"
        }

        geoip{              
            source => "remote_addr"
        target => "geoip"
        database => "/usr/local/elk/logstash-7.2.0/config/GeoLite2-City_20190730/GeoLite2-City.mmdb"
        add_field => [ "[geoip][coordinates]", "%{[geoip][longitude]}" ]
        add_field => [ "[geoip][coordinates]", "%{[geoip][latitude]}" ]
    }


        mutate{
        convert => [ "[geoip][coordinates]", "float"]
                #convert => ["bytes_sent","integer"]
        }
        mutate {
         convert => [ "status","integer" ]
         #convert => [ "body_bytes_sent","integer" ]
         #convert => [ "upstream_response_time","float" ]
         #remove_field => "message"
        }
    }


    if [type] in ["elk-global-nginx-error", "elk-nginx-error"]{
    grok {
        patterns_dir => ["/usr/local/elk/logstash-7.2.0/config/patterns"]
        match => { 
                       #"message" => "%{SERV_TIME_OUT:serv_timeout} %{ERROR_HOSTPORT:error_hostport} %{CHECK_HTTP_ERROR:check_http_error}" 
                        "message" => "%{HOSTPORT:error_hostport}" 
               }         
        }
    json {
        source => "message"
    }
    }

   if [type] in ["elk-main-server", "elk-test-server"]{
        if ([message] !~ "org.test.elk.services.servlet.SendServiceServlet") {
             drop {}
          }
       grok {
        match => [
            "message", "%{TIMESTAMP_ISO8601:reqTime} %{WORD:logLevel} .*{[(?<appSysId>w+)|(?<serial>w+).*serviceType=(?<serviceType>d+).*(usrsysid=(?<usrSysId>w+)|usrSysId=(?<usrSysId>w+))",
            "message", "%{TIMESTAMP_ISO8601:reqTime} %{WORD:logLevel} .*{[(?<appSysId>w+)|(?<serial>w+).*serviceType=(?<serviceType>d+).*",
            "message", "%{TIMESTAMP_ISO8601:reqTime} %{WORD:logLevel} .*{[(?<appSysId>d+)|(?<serviceType>d+)|(?<serial>w+).*",
            "message", "%{TIMESTAMP_ISO8601:reqTime} %{WORD:logLevel} .*{[(?<appSysId>w+)|(?<serial>w+).*",
            "message", "%{TIMESTAMP_ISO8601:reqTime} %{WORD:logLevel} .*"
        ]
    }
    json {
        source => "message"
    }
   }


}

output {
    if [type] == "elk-console-server"{
            elasticsearch {
                    hosts => ["10.11.48.160:9200", "10.11.48.160:9200", "10.11.48.160:9200" ]
                    index => "%{type}-%{+YYYY.MM.dd}"
                    #document_type => "%{type}"    
            }
    }
    if [type] == "elk-global-console-server"{
            elasticsearch {
                    hosts => ["10.11.48.160:9200", "10.11.48.160:9200", "10.11.48.160:9200" ]
                    index => "%{type}-%{+YYYY.MM.dd}"
                    #document_type => "%{type}"    
            }
    }
    if [type] == "elk-main-server"{
            elasticsearch {
                    hosts => ["10.11.48.160:9200", "10.11.48.160:9200", "10.11.48.160:9200" ]
                    index => "%{type}-%{+YYYY.MM.dd}"
                    #document_type => "%{+YYYY.MM.dd}"    
            }
    }
    if [type] == "elk-global-main-server"{
            elasticsearch {
                    hosts => ["10.11.48.160:9200", "10.11.48.160:9200", "10.11.48.160:9200" ]
                    index => "%{type}-%{+YYYY.MM.dd}"
                    #document_type => "%{+YYYY.MM.dd}"    
            }
    }
    if [type] == "elk-nginx-access"{
            elasticsearch {
                    hosts => ["10.11.48.160:9200", "10.11.48.160:9200", "10.11.48.160:9200" ]
                    index => "%{type}-%{+YYYY.MM.dd}"
                    #document_type => "%{type}"    
            }
    }
    if [type] == "elk-global-nginx-access"{
            elasticsearch {
                    hosts => ["10.11.48.160:9200", "10.11.48.160:9200", "10.11.48.160:9200" ]
                    index => "%{type}-%{+YYYY.MM.dd}"
                    #document_type => "%{type}"    
            }
    }
    if [type] == "elk-nginx-error"{
            elasticsearch {
                    hosts => ["10.11.48.160:9200", "10.11.48.160:9200", "10.11.48.160:9200" ]
                    index => "%{type}-%{+YYYY.MM.dd}"
                    #document_type => "%{type}"    
            }
    }
    if [type] == "elk-global-nginx-error"{
            elasticsearch {
                    hosts => ["10.11.48.160:9200", "10.11.48.160:9200", "10.11.48.160:9200" ]
                    index => "%{type}-%{+YYYY.MM.dd}"
                    #document_type => "%{type}"    
            }
    }
    if [type] == "elk-test-server"{
            elasticsearch {
                    hosts => ["10.11.48.160:9200", "10.11.48.160:9200", "10.11.48.160:9200" ]
                    index => "%{type}-%{+YYYY.MM.dd}"
                    #document_type => "%{type}"    
            }
    }
}

注意点

地理坐标及地址坐标展示支持中文地址坐标插件数据库可从maxmind官网下载免费版
kibana地图展示中文支持可在kibana中增加一下配置项,部分其他可视化视图软件也可以支持http://webrd02.is.autonavi.com/appmaptile

map.tilemap.url: "http://webrd02.is.autonavi.com/appmaptile?lang=zh_cn&size=1&scale=1&style=7&x={x}&y={y}&z={z}"

logstash提供了常用grok pattern正则，可参见https://github.com/logstash-plugins/logstash-patterns-core/tree/master/patterns，groke语法预计自定义正则可参考es官方文档https://www.elastic.co/guide/en/logstash/current/plugins-filters-grok.html

启停及操作步骤

#解压软件包到指定目录
tar -zxvf logstash-7.2.0.tar.gz -C /usr/local/elk/

8. elasticsearch

下载并解压到指定目录
配置 为了方便部署与替换，zookeeper、kafka以及elasticsearch集群最好配置host，配置中以host代替ip

# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
# 配置的集群名称，默认是elasticsearch，es服务会通过广播方式自动连接在同一网段下的es服务，通过多播方式进行通信，同一网段下可以有多个集群，通过集群名称这个属性来区分不同的集群。
cluster.name: elk-cluster
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
# 当前配置所在机器的节点
node.name: elk-node-160
#
# Add custom attributes to the node:
#
# 指定该节点是否有资格被选举成为node（注意这里只是设置成有资格， 不代表该node一定就是master），默认是true，es是默认集群中的第一台机器为master，如果这台机挂了就会重新选举master。
#node.attr.rack: r1
node.master: true
#指定该节点是否存储索引数据，默认为true。
node.data: true
#
# ----------------------------------- Paths ------------------------------------
#
# Path to directory where to store the data (separate multiple locations by comma):
#
# 设置索引数据的存储路径，默认是es根目录下的data文件夹，可以设置多个存储路径，用逗号隔开
path.data: /usr/local/elk/data
#
# Path to log files:
#
path.logs: /usr/local/elk/elasticsearch-7.2.0/logs
#
# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
network.host: 10.11.48.160
#
# Set a custom port for HTTP:
#
http.port: 9200
#
# For more information, consult the network module documentation.
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when this node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
#discovery.seed_hosts: ["10.11.48.160:9300", "10.11.48.161:9300", "10.11.48.165:9300"]
discovery.seed_hosts:
   - 10.11.48.160
   - 10.11.48.161
   - 10.11.48.165
#
# Bootstrap the cluster using an initial set of master-eligible nodes:
#
#cluster.initial_master_nodes: ["10.11.48.160", "10.11.48.161", "10.11.48.165"]
cluster.initial_master_nodes: 
   - elk-node-160
   - elk-node-161
   - elk-node-165
#
# For more information, consult the discovery and cluster formation module documentation.

中文分词插件安装

cd /usr/local/elk/elasticsearch-7.2.0/plugins/

启停及安装步骤

# 查看文件句柄限制

注意事项以及常见问题解决方法

同一集群cluster.name需相同，使用不同node.name。
使用自动竞选方式产生主节点的话，至少需要三个节点，因此至少有三个节点设置node.master: true，集群机器数量较多，数据量较大情况下，master节点最好不要设置为数据节点，比这资源有限，所有主节点均是数据节点。
集群发现配置项在es7以后使用discovery.seed_hosts，与之前不同，若使用老的配置项，可能会导致无法发现其他节点，尽量使用当前版本示例建议的配置。

discovery.zen.ping.unicast.hosts: ["host1", "host2:port", "host3[portX-portY]"]

elasticsearch不能以root权限来运行，会出现这种错误：Exception in thread "main" java.lang.RuntimeException: don't run elasticsearch as root。
提示：Max number of threads for elasticsearch too low

修改/etc/security/limits.conf
vim /etc/security/limits.conf
添加一行：xxx - nproc 2048
其中"xxx"为启动elasticsearch的用户

提示：max file descriptors [4096] for elasticsearch process is too low, increase to at least [65536]

修改/etc/sysctl.conf
vim /etc/sysctl.conf
添加一行：
vm.max_map_count=262144，
添加完了执行：sysctl -p，看结果是不是vm.max_map_count = 262144

提示：max number of threads [1024] for user [lish] likely too low, increase to at least [2048]

进入limits.d目录下修改配置文件
修改如下内容：
* soft nproc 2048

提示：max virtual memory areas vm.max_map_count [65530] likely too low, increase to at least [262144]

修改配置sysctl.conf
添加下面配置：
vm.max_map_count=655360
并执行命令：sysctl -p
重启

9. kibana

下载并解压到指定目录
配置kibana x-pack相关配置可自己加，本文主要展示默认配置之外的内容

# Kibana is served by a back end server. This setting specifies the port to use.
server.port:

启停以及相关命令

# 启动
nohup ./kibana  >/dev/null 2>

10. ELK启停脚本

启停脚本示例都是根据组件简单封装，方便后续运维操作，可根据运维需求自行修改整合，结合CI工具进行自动化部署

zookeeper

启动zookeeper(startZookeeper.sh)

# /bin/bash

echo "##################################################"
echo "##################################################"

echo "Zookeeper starting ..."

PIDS=$(ps ax | grep java | grep -i QuorumPeerMain | grep -v grep | awk '{print $1}')
# 判断是否启动成功
if [ ! -z "$PIDS" ]; then
     echo "Zookeeper has already started !"
     echo "pid: "$PIDS
else
     # 启动
     cd /usr/local/elk/apache-zookeeper-3.5.5/bin/
     ./zkServer.sh start
     sleep 3
     PIDS=$(ps ax | grep java | grep -i QuorumPeerMain | grep -v grep | awk '{print $1}')

     # 判断是否启动成功
     if [ ! -z "$PIDS" ]; then
          echo "Zookeeper has started successfully!"
          echo "pid: "$PIDS
     else
          echo "Zookeeper failed to start!"
          exit 0
     fi
fi

echo "##################################################"

停止zookeeper(stopZookeeper.sh)

#!/bin/sh

echo "#######################################################################"
echo "#######################################################################"

echo "zookeeper stopping ..."

SIGNAL=${SIGNAL:-TERM}
PIDS=$(ps ax | grep java | grep -i QuorumPeerMain | grep -v grep | awk '{print $1}')

if [ -z "$PIDS" ]; then
  echo "No zookeeper server to stop"
  exit 1
else
  kill -s $SIGNAL $PIDS
  echo "Zookeeper has stopped!"
fi

echo "#######################################################################"

kafka

启动kafka(startKafka.sh)

# /bin/bash

echo "##################################################"
echo "##################################################"

echo "Kafka  starting ..."

pid=$(jps | grep "Kafka" | awk '{print $1}')
# 判断是否启动成功
if [ ! -z "$pid" ]; then
     echo "Kafka has already started !"
     echo "pid: "$pid
else
     # 启动
     cd /usr/local/elk/kafka_2.12-2.3.0/bin
     nohup ./kafka-server-start.sh ../config/server.properties >/dev/null 2>&1 &
     sleep 3

     pid=$(jps | grep "Kafka" | awk '{print $1}')
     # 判断是否启动成功
     if [ ! -z "$pid" ]; then
          echo "pid: "$pid
          echo "Kafka has started successfully!"
     else
          echo "Kafka failed to start!"
          exit 0
     fi
fi

echo "##################################################"

停止kafka(stopKafka.sh)

# /bin/bash

echo "##################################################"
echo "##################################################"

echo "Kafka stopping ..."

cd /usr/local/elk/kafka_2.12-2.3.0/bin

./kafka-server-stop.sh

#jps | grep "Kafka" | awk '{print $1}' | xargs kill -9
echo "Kafka has stopped!"

echo "##################################################"

elasticsearch

启动elasticsearch(startElasticSearch.sh)

# /bin/bash

echo "##################################################"
echo "##################################################"

echo "Elasticsearch starting ..."

pid=$(jps | grep "Elasticsearch" | awk '{print $1}')
# 判断是否启动成功
if [ ! -z "$pid" ]; then
     echo "ElasticSearch has already started !"
     echo "pid: "$pid
else
     # 启动
     cd /usr/local/elk/elasticsearch-7.2.0/bin
     nohup ./elasticsearch >/dev/null 2>&1 &

     sleep 3
     pid=$(jps | grep "Elasticsearch" | awk '{print $1}')
     # 判断是否启动成功
     if [ ! -z "$pid" ]; then
          echo "pid: "$pid
          echo "ElasticSearch has started successfully!"
     else
          echo "ElasticSearch failed to start!"
          exit 0
     fi
fi

echo "##################################################"

停止elasticsearch(stopElasticSearch.sh)

# /bin/bash

echo "##################################################"
echo "##################################################"

echo "Elasticsearch stopping ..."



jps | grep "Elasticsearch" | awk '{print $1}' | xargs kill -9
echo "ElasticSearch has stoped!"

echo "##################################################"

kibana

启动kibana(startKibana.sh)

# /bin/bash

echo "##################################################"
echo "##################################################"

echo "Kibana starting ..."


pid=$(lsof -i:5601 | awk 'NR==2 {print $2}')
# 判断是否启动成功
if [ ! -z "$pid" ]; then
     echo "kibana has already started!"
     exit 0
else
     # 启动kibana
     cd /usr/local/elk/kibana-7.2.0-linux-x86_64/bin
     nohup ./kibana  >/dev/null 2>&1 &

     pid=$(lsof -i:5601 | awk 'NR==2 {print $2}')
     # 判断是否启动成功
     if [ ! -z "$pid" ]; then
          echo "kibana has started successfully!"
     else
          echo "Kibana failed to start!"
          exit 0
     fi
fi

echo "##################################################"

停止kibana

# /bin/bash

echo "##################################################"
echo "##################################################"

echo "Kibana stopping ..."

pid=$(lsof -i:5601 | awk 'NR==2 {print $2}')

if [-z "$pid"];then
     echo "kibana has not started!"
     exit 0
fi


lsof -i:5601 | awk 'NR==2 {print $2}' | xargs kill -9
echo "Kibana has stoped!"

echo "##################################################"

filebeat

启动(startFilebeat.sh)

#/bin/sh

echo "######################################################"
echo "######################################################"

echo "filebeat starting ..."

pid=$(ps -ef | grep "filebeat" | grep -v grep | awk '{print $2}')
if [ ! -z "$pid" ]; then
     echo "Filebeat has already started . Please stop it first!"
     echo "pid: "$pid
     exit 0
fi

cd /usr/local/elk/filebeat-7.2.0-linux-x86_64

nohup ./filebeat >/dev/null 2>&1 &

sleep 3

pid=$(ps -ef | grep "filebeat" | grep -v grep | awk '{print $2}')

echo "pid: "$pid

if [ ! -z "$pid" ]; then
     echo "Filebeat has started successfully!"
else
     echo "Filebeat failed to start!"
fi


echo "######################################################"

停止(stopFilebeat.sh)

#/bin/sh

echo "######################################################"
echo "######################################################"

echo "filebeat stopping ..."

pid=$(ps -ef | grep "filebeat" | grep -v grep | awk '{print $2}')
if [ -z "$pid" ]; then
     echo "Filebeat has not started ."
else
     ps -ef | grep "filebeat" | grep -v grep | awk '{print $2}' | xargs kill -9
     echo "Filebeat stopped successfully!"

fi

echo "######################################################"

单台服务器上多个服务一键启停

部分服务之间有依赖关系，所以启停设置了时间间隔以保证依赖服务可用，另外有兴趣的同学可以自行编写集群启停脚本，这里不再敖述启动(ElkServiceStart.sh)

# /bin/bash

echo "--------------------------------------------------"
echo "##################################################"
echo "###################UMP ELK service start##########"

./startZookeeper.sh
sleep 5
./startKafka.sh
./startLogstash.sh
./startElasticSearch.sh
#./startKibana.sh

echo "##################################################"
echo "--------------------------------------------------"

停止(ElkServiceStop.sh)

# /bin/bash

echo "##################################################"
echo "##################################################"

echo "Kibana stopping ..."

pid=$(lsof -i:5601 | awk 'NR==2 {print $2}')

if [ -z "$pid"];then
     echo "kibana has not started!"
fi


lsof -i:5601 | awk 'NR==2 {print $2}' | xargs kill -9
echo "Kibana has stoped!"

echo "##################################################"


# /bin/bash

echo "##################################################"
echo "##################################################"

echo "Elasticsearch stopping ..."



jps | grep "Elasticsearch" | awk '{print $1}' | xargs kill -9
echo "ElasticSearch has stoped!"

echo "##################################################"


# /bin/bash

echo "##################################################"
echo "##################################################"

echo "Logstash stopping ..."



jps | grep "Logstash" | awk '{print $1}' | xargs kill -9
echo "Logstash has stoped!"

echo "##################################################"


# /bin/bash

echo "##################################################"
echo "##################################################"

echo "Kafka stopping ..."

cd /usr/local/elk/kafka_2.12-2.3.0/bin

./kafka-server-stop.sh

jps | grep "Kafka" | awk '{print $1}' | xargs kill -9
echo "Kafka has stopped!"

echo "##################################################"


#!/bin/sh

echo "##################################################"
echo "##################################################"

echo "zookeeper stopping ..."

SIGNAL=${SIGNAL:-TERM}
PIDS=$(ps ax | grep java | grep -i QuorumPeerMain | grep -v grep | awk '{print $1}')

if [ -z "$PIDS" ]; then
  echo "No zookeeper server to stop"
  exit 1
else
  kill -s $SIGNAL $PIDS
  echo "Zookeeper has stopped!"
fi

echo "##################################################"

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