大纲:html
1、简介java
2、Logstashnode
3、Redispython
4、Elasticsearchlinux
5、Kinabac++
1、简介git
一、核心组成github
ELK由Elasticsearch、Logstash和Kibana三部分组件组成;web
Elasticsearch是个开源分布式搜索引擎,它的特色有: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。redis
Logstash是一个彻底开源的工具,它能够对你的日志进行收集、分析,并将其存储供之后使用
kibana 是一个开源和免费的工具,它能够为 Logstash 和 ElasticSearch 提供的日志分析友好的 Web 界面,能够帮助您汇总、分析和搜索重要数据日志。
二、四大组件
Logstash: logstash server端用来搜集日志;
Elasticsearch: 存储各种日志;
Kibana: web化接口用做查寻和可视化日志;
Logstash Forwarder: logstash client端用来经过lumberjack 网络协议发送日志到logstash server;
三、ELK工做流程
在须要收集日志的全部服务上部署logstash,做为logstash agent(logstash shipper)用于监控并过滤收集日志,将过滤后的内容发送到Redis,而后logstash indexer将日志收集在一块儿交给全文搜索服务ElasticSearch,能够用ElasticSearch进行自定义搜索经过Kibana 来结合自定义搜索进行页面展现。
四、ELK的帮助手册
ELK官网:https://www.elastic.co/
ELK官网文档:https://www.elastic.co/guide/index.html
ELK中文手册:http://kibana.logstash.es/content/elasticsearch/monitor/logging.html
注释
ELK有两种安装方式
(1)集成环境:Logstash有一个集成包,里面包括了其全套的三个组件;也就是安装一个集成包。
(2)独立环境:三个组件分别单独安装、运行、各司其职。(比较经常使用)
本实验也以第二种方式独立环境来进行演示;单机版主机地址为:192.168.1.104
2、Logstash
一、安装jdk
Logstash的运行依赖于Java运行环境。 # yum -y install java-1.8.0 # java -version openjdk version "1.8.0_51" OpenJDK Runtime Environment (build 1.8.0_51-b16) OpenJDK 64-Bit Server VM (build 25.51-b03, mixed mode)
二、安装logstash
# wget https://download.elastic.co/logstash/logstash/logstash-1.5.4.tar.gz # tar zxf logstash-1.5.4.tar.gz -C /usr/local/ 配置logstash的环境变量 # echo "export PATH=\$PATH:/usr/local/logstash-1.5.4/bin" > /etc/profile.d/logstash.sh # . /etc/profile
三、logstash经常使用参数
-e :指定logstash的配置信息,能够用于快速测试; -f :指定logstash的配置文件;能够用于生产环境;
四、启动logstash
4.1 经过-e参数指定logstash的配置信息,用于快速测试,直接输出到屏幕。
# logstash -e "input {stdin{}} output {stdout{}}" my name is zhengyansheng. //手动输入后回车,等待10秒后会有返回结果 Logstash startup completed 2015-10-08T13:55:50.660Z 0.0.0.0 my name is zhengyansheng. 这种输出是直接原封不动的返回...
4.2 经过-e参数指定logstash的配置信息,用于快速测试,以json格式输出到屏幕。
# logstash -e 'input{stdin{}}output{stdout{codec=>rubydebug}}' my name is zhengyansheng. //手动输入后回车,等待10秒后会有返回结果 Logstash startup completed { "message" => "my name is zhengyansheng.", "@version" => "1", "@timestamp" => "2015-10-08T13:57:31.851Z", "host" => "0.0.0.0" } 这种输出是以json格式的返回...
五、logstash以配置文件方式启动
5.1 输出信息到屏幕
# vim logstash-simple.conf input { stdin {} } output { stdout { codec=> rubydebug } } # logstash -f logstash-simple.conf //普通方式启动 Logstash startup completed # logstash agent -f logstash-simple.conf --verbose //开启debug模式 Pipeline started {:level=>:info} Logstash startup completed hello world. //手动输入hello world. { "message" => "hello world.", "@version" => "1", "@timestamp" => "2015-10-08T14:01:43.724Z", "host" => "0.0.0.0" } 效果同命令行配置参数同样...
5.2 logstash输出信息存储到redis数据库中
刚才咱们是将信息直接显示在屏幕上了,如今咱们将logstash的输出信息保存到redis数据库中,以下
前提是本地(192.168.1.104)有redis数据库,那么下一步咱们就是安装redis数据库. # cat logstash_to_redis.conf input { stdin { } } output { stdout { codec => rubydebug } redis { host => '192.168.1.104' data_type => 'list' key => 'logstash:redis' } } 若是提示Failed to send event to Redis,表示链接Redis失败或者没有安装,请检查...
六、 查看logstash的监听端口号
# logstash agent -f logstash_to_redis.conf --verbose # netstat -tnlp |grep java tcp 0 0 :::9301 :::* LISTEN 1326/java
3、Redis
一、安装Redis
wget http://download.redis.io/releases/redis-2.8.19.tar.gz yum install tcl -y tar zxf redis-2.8.19.tar.gz cd redis-2.8.19 make MALLOC=libc make test //这一步时间会稍久点... make install cd utils/ ./install_server.sh //脚本执行后,全部选项都以默认参数为准便可 Welcome to the redis service installer This script will help you easily set up a running redis server Please select the redis port for this instance: [6379] Selecting default: 6379 Please select the redis config file name [/etc/redis/6379.conf] Selected default - /etc/redis/6379.conf Please select the redis log file name [/var/log/redis_6379.log] Selected default - /var/log/redis_6379.log Please select the data directory for this instance [/var/lib/redis/6379] Selected default - /var/lib/redis/6379 Please select the redis executable path [/usr/local/bin/redis-server] Selected config: Port : 6379 Config file : /etc/redis/6379.conf Log file : /var/log/redis_6379.log Data dir : /var/lib/redis/6379 Executable : /usr/local/bin/redis-server Cli Executable : /usr/local/bin/redis-cli Is this ok? Then press ENTER to go on or Ctrl-C to abort. Copied /tmp/6379.conf => /etc/init.d/redis_6379 Installing service... Successfully added to chkconfig! Successfully added to runlevels 345! Starting Redis server... Installation successful!
二、查看redis的监控端口
# netstat -tnlp |grep redis tcp 0 0 0.0.0.0:6379 0.0.0.0:* LISTEN 3843/redis-server * tcp 0 0 127.0.0.1:21365 0.0.0.0:* LISTEN 2290/src/redis-serv tcp 0 0 :::6379 :::* LISTEN 3843/redis-server *
三、测试redis是否正常工做
# cd redis-2.8.19/src/ # ./redis-cli -h 192.168.1.104 -p 6379 //链接redis 192.168.1.104:6379> ping PONG 192.168.1.104:6379> set name zhengyansheng OK 192.168.1.104:6379> get name "zhengyansheng" 192.168.1.104:6379> quit
四、redis服务启动命令
# ps -ef |grep redis root 3963 1 0 08:42 ? 00:00:00 /usr/local/bin/redis-server *:6379
五、redis的动态监控
# cd redis-2.8.19/src/ # ./redis-cli monitor //reids动态监控
六、logstash结合redis工做
6.1 首先确认redis服务是启动的
# netstat -tnlp |grep redis tcp 0 0 0.0.0.0:6379 0.0.0.0:* LISTEN 3843/redis-server * tcp 0 0 127.0.0.1:21365 0.0.0.0:* LISTEN 2290/src/redis-serv tcp 0 0 :::6379 :::* LISTEN 3843/redis-server *
6.2 启动redis动态监控
# cd redis-2.8.19/src/ # ./redis-cli monitor OK
6.3 基于入口redis启动logstash
# cat logstash_to_redis.conf input { stdin { } } output { stdout { codec => rubydebug } redis { host => '192.168.1.104' data_type => 'list' key => 'logstash:redis' } } # logstash agent -f logstash_to_redis.conf --verbose Pipeline started {:level=>:info} Logstash startup completed dajihao linux { "message" => "dajihao linux", "@version" => "1", "@timestamp" => "2015-10-08T14:42:07.550Z", "host" => "0.0.0.0" }
6.4 查看redis的监控接口上的输出
# ./redis-cli monitor OK 1444315328.103928 [0 192.168.1.104:56211] "rpush" "logstash:redis" "{\"message\":\"dajihao linux\",\"@version\":\"1\",\"@timestamp\":\"2015-10-08T14:42:07.550Z\",\"host\":\"0.0.0.0\"}" 若是redis的监控上也有以上信息输出,代表logstash和redis的结合是正常的。
4、Elasticsearch
一、安装Elasticsearch
# wget https://download.elastic.co/elasticsearch/elasticsearch/elasticsearch-1.7.2.tar.gz # tar zxf elasticsearch-1.7.2.tar.gz -C /usr/local/
二、修改elasticsearch配置文件elasticsearch.yml而且作如下修改.
# vim /usr/local/elasticsearch-1.7.2/config/elasticsearch.yml discovery.zen.ping.multicast.enabled: false #关闭广播,若是局域网有机器开9300 端口,服务会启动不了 network.host: 192.168.1.104 #指定主机地址,实际上是可选的,可是最好指定由于后面跟kibana集成的时候会报http链接出错(直观体现好像是监听了:::9200 而不是0.0.0.0:9200) http.cors.allow-origin: "/.*/" http.cors.enabled: true #这2项都是解决跟kibana集成的问题,错误体现是 你的 elasticsearch 版本太低,其实不是
三、启动elasticsearch服务
# /usr/local/elasticsearch-1.7.2/bin/elasticsearch #日志会输出到stdout # /usr/local/elasticsearch-1.7.2/bin/elasticsearch -d #表示以daemon的方式启动 # nohup /usr/local/elasticsearch-1.7.2/bin/elasticsearch > /var/log/logstash.log 2>&1 &
四、查看elasticsearch的监听端口
# netstat -tnlp |grep java tcp 0 0 :::9200 :::* LISTEN 7407/java tcp 0 0 :::9300 :::* LISTEN 7407/java
五、elasticsearch和logstash结合
将logstash的信息输出到elasticsearch中 # cat logstash-elasticsearch.conf input { stdin {} } output { elasticsearch { host => "192.168.1.104" } stdout { codec=> rubydebug } }
六、基于配置文件启动logstash
# /usr/local/logstash-1.5.4/bin/logstash agent -f logstash-elasticsearch.conf Pipeline started {:level=>:info} Logstash startup completed python linux java c++ //手动输入 { "message" => "python linux java c++", "@version" => "1", "@timestamp" => "2015-10-08T14:51:56.899Z", "host" => "0.0.0.0" }
七、curl命令发送请求来查看elasticsearch是否接收到了数据
# curl http://localhost:9200/_search?pretty { "took" : 28, "timed_out" : false, "_shards" : { "total" : 5, "successful" : 5, "failed" : 0 }, "hits" : { "total" : 1, "max_score" : 1.0, "hits" : [ { "_index" : "logstash-2015.10.08", "_type" : "logs", "_id" : "AVBH7-6MOwimSJSPcXjb", "_score" : 1.0, "_source":{"message":"python linux java c++","@version":"1","@timestamp":"2015-10-08T14:51:56.899Z","host":"0.0.0.0"} } ] } }
八、安装elasticsearch插件
#Elasticsearch-kopf插件能够查询Elasticsearch中的数据,安装elasticsearch-kopf,只要在你安装Elasticsearch的目录中执行如下命令便可: # cd /usr/local/elasticsearch-1.7.2/bin/ # ./plugin install lmenezes/elasticsearch-kopf -> Installing lmenezes/elasticsearch-kopf... Trying https://github.com/lmenezes/elasticsearch-kopf/archive/master.zip... Downloading ............................................................................................. Installed lmenezes/elasticsearch-kopf into /usr/local/elasticsearch-1.7.2/plugins/kopf 执行插件安装后会提示失败,颇有多是网络等状况... -> Installing lmenezes/elasticsearch-kopf... Trying https://github.com/lmenezes/elasticsearch-kopf/archive/master.zip... Failed to install lmenezes/elasticsearch-kopf, reason: failed to download out of all possible locations..., use --verbose to get detailed information 解决办法就是手动下载该软件,不经过插件安装命令... cd /usr/local/elasticsearch-1.7.2/plugins wget https://github.com/lmenezes/elasticsearch-kopf/archive/master.zip unzip master.zip mv elasticsearch-kopf-master kopf 以上操做就彻底等价于插件的安装命令
九、浏览器访问kopf页面访问elasticsearch保存的数据
# netstat -tnlp |grep java tcp 0 0 :::9200 :::* LISTEN 7969/java tcp 0 0 :::9300 :::* LISTEN 7969/java tcp 0 0 :::9301 :::* LISTEN 8015/java
十、从redis数据库中读取而后输出到elasticsearch中
# cat logstash-redis.conf input { redis { host => '192.168.1.104' # 我方便测试没有指定password,最好指定password data_type => 'list' port => "6379" key => 'logstash:redis' #自定义 type => 'redis-input' #自定义 } } output { elasticsearch { host => "192.168.1.104" codec => "json" protocol => "http" #版本1.0+ 必须指定协议http } }
5、Kinaba
一、安装Kinaba
# wget https://download.elastic.co/kibana/kibana/kibana-4.1.2-linux-x64.tar.gz # tar zxf kibana-4.1.2-linux-x64.tar.gz -C /usr/local
二、修改kinaba配置文件kinaba.yml
# vim /usr/local/kibana-4.1.2-linux-x64/config/kibana.yml elasticsearch_url: "http://192.168.1.104:9200"
三、启动kinaba
/usr/local/kibana-4.1.2-linux-x64/bin/kibana 输出如下信息,代表kinaba成功. {"name":"Kibana","hostname":"localhost.localdomain","pid":1943,"level":30,"msg":"No existing kibana index found","time":"2015-10-08T00:39:21.617Z","v":0} {"name":"Kibana","hostname":"localhost.localdomain","pid":1943,"level":30,"msg":"Listening on 0.0.0.0:5601","time":"2015-10-08T00:39:21.637Z","v":0} kinaba默认监听在本地的5601端口上
四、浏览器访问kinaba
4.1 使用默认的logstash-*的索引名称,而且是基于时间的,点击“Create”便可。
4.2 看到以下界面说明索引建立完成。
4.3 点击“Discover”,能够搜索和浏览Elasticsearch中的数据。
>>>结束<<<
一、ELK默认端口号 elasticsearch:9200 9300 logstash : 9301 kinaba : 5601 二、错误汇总 (1)java版本太低 [2015-10-07 18:39:18.071] WARN -- Concurrent: [DEPRECATED] Java 7 is deprecated, please use Java 8. (2)Kibana提示Elasticsearch版本太低... This version of Kibana requires Elasticsearch 2.0.0 or higher on all nodes. I found the following incompatible nodes in your cluster: Elasticsearch v1.7.2 @ inet[/192.168.1.104:9200] (127.0.0.1) 解决办法:
软件包以打包上传:http://pan.baidu.com/s/1hqfeFvY