ELK学习1

xiaoxiao2021-02-28 34

Logstash + Elasticsearch + Kibana+Redis+Syslog-ng

ElasticSearch是一个基于Lucene构建的开源，分布式，RESTful搜索引擎。设计用于云计算中，能够达到实时搜索，稳定，可靠，快速，安装使用方便。支持通过HTTP使用JSON进行数据索引。

logstash是一个应用程序日志、事件的传输、处理、管理和搜索的平台。你可以用它来统一对应用程序日志进行收集管理，提供 Web 接口用于查询和统计。其实logstash是可以被别的替换，比如常见的fluented

Kibana是一个为 Logstash 和 ElasticSearch 提供的日志分析的 Web 接口。可使用它对日志进行高效的搜索、可视化、分析等各种操作。

redis是一个高性能的内存key-value数据库,非必需安装,可以防止数据丢失. 参考::

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 http: //www .logstash.net/ http: //chenlinux .com /2012/10/21/elasticearch-simple-usage/ http: //www .elasticsearch.cn http: //download .oracle.com /otn-pub/java/jdk/7u67-b01/jdk-7u67-linux-x64 . tar .gz?AuthParam=1408083909_3bf5b46169faab84d36cf74407132bba http: //curran .blog.51cto.com /2788306/1263416 http: //storysky .blog.51cto.com /628458/1158707/ http: //zhumeng8337797 .blog.163.com /blog/static/10076891420142712316899/ http: //enable .blog.51cto.com /747951/1049411 http: //chenlinux .com /2014/06/11/nginx-access-log-to-elasticsearch/ http: //www .w3c.com.cn/开源分布式搜索平台elkelasticsearchlogstashkibana入门学习资源索引 http: //woodygsd .blogspot.com /2014/06/an-adventure-with-elk-or-how-to-replace .html http: //www .ricardomartins.com.br /enviando-dados-externos-para-a-stack-elk/ http: //tinytub .github.io /logstash-install .html http: //jamesmcfadden .co.uk /securing-elasticsearch-with-nginx/ https: //github .com /elasticsearch/logstash/blob/master/patterns/grok-patterns http: //zhaoyanblog .com /archives/319 .html http: //www .vpsee.com /2014/05/install-and-play-with-elasticsearch/

IP说明：

118.x.x.x/16 为客户端ip 192.168.0.39和61.x.x.x为ELK的内网和外网ip

安装JDK

? 1 2 3 4 5 6 #https://www.reucon.com/cdn/java/jdk-7u67-linux-x64.tar.gz #tar zxvf jdk-7u67-linux-x64.tar.gz #mv jdk1.7.0_67 /usr/local/ #cd /usr/local/ #ln -s jdk1.7.0_67 jdk #chown -R root:root jdk/

配置环境变量

? 1 2 3 4 5 6 7 8 vim /etc/profile export JAVA_HOME= /usr/local/jdk export JRE_HOME=$JAVA_HOME /jre export CLASSPATH=.:$JAVA_HOME /lib/dt .jar:$JAVA_HOME /lib/tools .jar:$JRE_HOME /lib :$CLASSPATH export PATH=$JAVA_HOME /bin :$PATH export REDIS_HOME= /usr/local/redis export ES_HOME= /usr/local/elasticsearch export ES_CLASSPATH=$ES_HOME /config

变量生效：

? 1 source /etc/profile

验证版本:

? 1 2 3 4 5 6 7 #java -version java version "1.7.0_67" Java(TM) SE Runtime Environment (build 1.7.0_67-b01) Java HotSpot(TM) 64-Bit Server VM (build 24.65-b04, mixed mode) #如果之前安装过java，可以先卸载 #rpm -qa |grep javajava-1.6.0-openjdk-1.6.0.0-1.24.1.10.4.el5java-1.6.0-openjdk-devel-1.6.0.0-1.24.1.10.4.el5 #rpm -e java-1.6.0-openjdk-1.6.0.0-1.24.1.10.4.el5 java-1.6.0-openjdk-devel-1.6.0.0-1.24.1.10.4.el5

安装redis

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 #wget http://download.redis.io/releases/redis-2.6.17.tar.gz #tar zxvf redis-2.6.17.tar.gz #mv redis-2.6.17 /usr/local/ #cd /usr/local #ln -s redis-2.6.17 redis #cd /usr/local/redis #make #make install #cd utils #./install_server.sh 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 ]

编辑配置文件

? 1 2 3 4 5 vim /etc/redis/6379 .conf daemonize yes port 6379 timeout 300 tcp-keepalive 60

启动

? 1 2 3 4 /etc/init .d /redis_6379 start exists, process is already running or crashed 如报这个错,需要编辑下 /etc/init .d /redis_6379 ,去除头上的\n 加入自动启动chkconfig –add redis_6379

安装Elasticsearch

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 http: //www .elasticsearch.org/ http: //www .elasticsearch.cn 集群安装只要节点在同一网段下，设置一致的cluster.name，启动的Elasticsearch即可相互检测到对方，组成集群 #wget https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-1.3.2.tar.gz #tar zxvf elasticsearch-1.3.2.tar.gz #mv elasticsearch-1.3.2 /usr/local/ #cd /usr/local/ #ln -s elasticsearch-1.3.2 elasticsearch #elasticsearch/bin/elasticsearch -f [2014-08-20 13:19:05,710][INFO ][node ] [Jackpot] version[1.3.2], pid[19320], build[dee175d /2014-08-13T14 :29:30Z] [2014-08-20 13:19:05,727][INFO ][node ] [Jackpot] initializing ... [2014-08-20 13:19:05,735][INFO ][plugins ] [Jackpot] loaded [], sites [] [2014-08-20 13:19:10,722][INFO ][node ] [Jackpot] initialized [2014-08-20 13:19:10,723][INFO ][node ] [Jackpot] starting ... [2014-08-20 13:19:10,934][INFO ][transport ] [Jackpot] bound_address {inet[ /0 .0.0.0:9301]}, publish_address {inet[ /61 .x.x.x:9301]} [2014-08-20 13:19:10,958][INFO ][discovery ] [Jackpot] elasticsearch /5hUOX-2ES82s_0zvI9BUdg [2014-08-20 13:19:14,011][INFO ][cluster.service ] [Jackpot] new_master [Jackpot][5hUOX-2ES82s_0zvI9BUdg][Impala][inet[ /61 .x.x.x:9301]], reason: zen-disco- join (elected_as_master) [2014-08-20 13:19:14,060][INFO ][http ] [Jackpot] bound_address {inet[ /0 .0.0.0:9201]}, publish_address {inet[ /61 .x.x.x:9201]} [2014-08-20 13:19:14,061][INFO ][node ] [Jackpot] started [2014-08-20 13:19:14,106][INFO ][gateway ] [Jackpot] recovered [0] indices into cluster_state [2014-08-20 13:20:58,273][INFO ][node ] [Jackpot] stopping ... [2014-08-20 13:20:58,323][INFO ][node ] [Jackpot] stopped [2014-08-20 13:20:58,323][INFO ][node ] [Jackpot] closing ... [2014-08-20 13:20:58,332][INFO ][node ] [Jackpot] closed ctrl+c退出

以后台方式运行

? 1 elasticsearch /bin/elasticsearch -d

访问默认的9200端口

? 1 2 3 4 5 6 7 8 9 10 11 12 13 curl -X GET http: //localhost :9200 { "status" : 200, "name" : "Steve Rogers" , "version" : { "number" : "1.3.2" , "build_hash" : "dee175dbe2f254f3f26992f5d7591939aaefd12f" , "build_timestamp" : "2014-08-13T14:29:30Z" , "build_snapshot" : false , "lucene_version" : "4.9" }, "tagline" : "You Know, for Search" }

安装logstash

? 1 2 3 4 5 6 7 8 9 10 11 12 13 http: //logstash .net/ #wget https://download.elasticsearch.org/logstash/logstash/logstash-1.4.2.tar.gz #tar zxvf logstash-1.4.2.tar.gz #mv logstash-1.4.2 /usr/local #cd /usr/local #ln -s logstash-1.4.2 logstash #mkdir logstash/conf #chown -R root:root logstash #因为java的默认heap size,回收机制等原因,logstash从1.4.0开始不再使用jar运行方式. #以前方式:java -jar logstash-1.3.3-flatjar.jar agent -f logstash.conf #现在方式:bin/logstash agent -f logstash.conf #logstash下载即可使用，命令行参数可以参考logstash flags，主要有http://logstash.net/docs/1.2.1/flags

安装kibana

? 1 2 3 4 5 6 logstash的最新版已经内置kibana，你也可以单独部署kibana。kibana3是纯粹JavaScript+html的客户端，所以可以部署到任意http服务器上。 http: //www .elasticsearch.org /overview/elkdownloads/ #wget https://download.elasticsearch.org/kibana/kibana/kibana-3.1.0.tar.gz #tar zxvf kibana-3.1.0.tar.gz #mv kibana-3.1.0 /opt/htdocs/www/kibana #vim /opt/htdocs/www/kibana/config.js

配置elasticsearch源

? 1 elasticsearch: “http: // ”+window.location. hostname +”:9200″,

加入iptables

? 1 2 6379为redis端口,9200为elasticsearch端口,118.x.x.x /16 为当前测试时的客户端ip iptables -A INPUT -p tcp -m tcp -s 118.x.x.x /16 --dport 9200 --j ACCEPT

测试运行前端输出

? 1 bin /logstash -e ‘input { stdin { } } output { stdout {} }’

输入hello测试

? 1 2014-08-20T05:17:02.876+0000 Impala hello

测试运行输出到后端

? 1 bin /logstash -e ‘input { stdin { } } output { elasticsearch { host => localhost } }’

访问kibana

? 1 2 3 4 http: //adminimpala .campusapply.com /kibana/index .html #/dashboard/file/default.json Yes- Great! We have a prebuilt dashboard: (Logstash Dashboard). See the note to the right about making it your global default No results There were no results because no indices were found that match your selected time span

设置kibana读取源

? 1 2 3 在kibana的右上角有个 configure dashboard,再进入Index Settings [logstash-]YYYY.MM.DD 这个需和logstash的输出保持一致

elasticsearch 跟 MySQL 中定义资料格式的角色关系对照表如下

? 1 2 MySQL elasticsearchdatabase indextable type table schema mappingrow documentfield field

ELK整合

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 syslog-ng.conf #省略其它内容 # Remote logging syslog source s_remote { udp(ip(192.168.0.39) port(514)); }; #nginx log source s_remotetcp { tcp(ip(192.168.0.39) port(514) log_fetch_limit(100) log_iw_size(50000) max-connections(50) ); }; filter f_filter12 { program( 'c1gstudio\.com' ); }; #logstash syslog destination d_logstash_syslog { udp( "localhost" port(10999) localport(10998) ); }; #logstash web destination d_logstash_web { tcp( "localhost" port(10997) localport(10996) ); }; log { source (s_remote); destination(d_logstash_syslog); }; log { source (s_remotetcp); filter(f_filter12); destination(d_logstash_web); }; logstash_syslog.conf input { udp { port => 10999 type => syslog } } filter { if [ type ] == "syslog" { grok { match => { "message" => "%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:\[%{POSINT:syslog_pid}\])?: %{GREEDYDATA:syslog_message}" } add_field => [ "received_at" , "%{@timestamp}" ] add_field => [ "received_from" , "%{host}" ] } syslog_pri { } date { match => [ "syslog_timestamp" , "MMM d HH:mm:ss" , "MMM dd HH:mm:ss" ] } } } output { elasticsearch { host => localhost index => "syslog-%{+YYYY}" } } logstash_redis.conf input { tcp { port => 10997 type => web } } filter { grok { match => [ "message" , "%{SYSLOGTIMESTAMP:syslog_timestamp} (?:%{SYSLOGFACILITY:syslog_facility} )?%{SYSLOGHOST:syslog_source} %{PROG:syslog_program}(?:\[%{POSINT:syslog_pid}\])?: %{IPORHOST:clientip} - (?:%{USER:remote_user}|-) \[%{HTTPDATE:timestamp}\] \"%{WORD:method} %{URIPATHPARAM:request} HTTP/%{NUMBER:httpversion}\" %{NUMBER:status} (?:%{NUMBER:body_bytes_sent}|-) \"(?:%{URI:http_referer}|-)\" %{QS:agent} (?:%{IPV4:http_x_forwarded_for}|-)" ] remove_field => [ '@version ' , 'host' , 'syslog_timestamp' , 'syslog_facility' , 'syslog_pid' ] } date { match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z" ] } useragent { source => "agent" prefix => "useragent_" remove_field => [ "useragent_device" , "useragent_major" , "useragent_minor" , "useragent_patch" , "useragent_os" , "useragent_os_major" , "useragent_os_minor" ] } geoip { source => "clientip" fields => [ "country_name" , "region_name" , "city_name" , "real_region_name" , "latitude" , "longitude" ] remove_field => [ "[geoip][longitude]" , "[geoip][latitude]" , "location" , "region_name" ] } } output { #stdout { codec => rubydebug } redis { batch => true batch_events => 500 batch_timeout => 5 host => "127.0.0.1" data_type => "list" key => "logstash:web" workers => 2 } } logstash_web.conf input { redis { host => "127.0.0.1" port => "6379" key => "logstash:web" data_type => "list" codec => "json" type => "web" } } output { elasticsearch { flush_size => 5000 host => localhost idle_flush_time => 10 index => "web-%{+YYYY.MM.dd}" } #stdout { codec => rubydebug } }

启动elasticsearch和logstash

? 1 2 3 4 /usr/local/elasticsearch/bin/elasticsearch -d /usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_syslog .conf & /usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_redis .conf & /usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_web .conf &

关闭

? 1 2 ps aux| egrep ‘search|logstash’ kill pid

安装控制器elasticsearch-servicewrapper

? 1 2 3 4 5 6 如果是在服务器上就可以使用elasticsearch-servicewrapper这个es插件，它支持通过参数，指定是在后台或前台运行es，并且支持启动，停止，重启es服务（默认es脚本只能通过ctrl+c关闭es）。使用方法是到https: //github .com /elasticsearch/elasticsearch-servicewrapper 下载service文件夹，放到es的bin目录下。下面是命令集合： bin /service/elasticsearch +console 在前台运行esstart 在后台运行esstop 停止esinstall 使es作为服务在服务器启动时自动启动remove 取消启动时自动启动 vim /usr/local/elasticsearch/service/elasticsearch .conf set .default.ES_HOME= /usr/local/elasticsearch

命令示例

查看状态

? 1 http: //61 .x.x.x:9200 /_status ?pretty= true

集群健康查看

? 1 2 http: //61 .x.x.x:9200 /_cat/health ? v epoch timestamp cluster status node.total node.data shards pri relo init unassign1409021531 10:52:11 elasticsearch yellow 2 1 20 20 0 0 20

列出集群索引

? 1 2 http: //61 .x.x.x:9200 /_cat/indices ? v health index pri rep docs.count docs.deleted store.size pri.store.sizeyellow web-2014.08.25 5 1 5990946 0 3.6gb 3.6gbyellow kibana-int 5 1 2 0 20.7kb 20.7kbyellow syslog-2014 5 1 709 0 585.6kb 585.6kbyellow web-2014.08.26 5 1 1060326 0 712mb 712mb

删除索引

? 1 2 curl -XDELETE ‘http: //localhost :9200 /kibana-int/ ’ curl -XDELETE ‘http: //localhost :9200 /logstash-2014 .08.*’

优化索引

? 1 $ curl -XPOST ‘http: //localhost :9200 /old-index-name/_optimize ’

查看日志

? 1 2 3 4 5 6 tail /usr/local/elasticsearch/logs/elasticsearch .log 2.4mb]->[2.4mb]/[273mb]}{[survivor] [3.6mb]->[34.1mb]/[34.1mb]}{[old] [79.7mb]->[80mb]/[682.6mb]} [2014-08-26 10:37:14,953][WARN ][monitor.jvm ] [Red Shift] [gc][young][71044][54078] duration [43s], collections [1]/[46.1s], total [43s]/[26.5m], memory [384.7mb]->[123mb]/[989.8mb], all_pools {[young] [270.5mb]->[1.3mb]/[273mb]}{[survivor] [34.1mb]->[22.3mb]/[34.1mb]}{[old] [80mb]->[99.4mb]/[682.6mb]} [2014-08-26 10:38:03,619][WARN ][monitor.jvm ] [Red Shift] [gc][young][71082][54080] duration [6.6s], collections [1]/[9.1s], total [6.6s]/[26.6m], memory [345.4mb]->[142.1mb]/[989.8mb], all_pools {[young] [224.2mb]->[2.8mb]/[273mb]}{[survivor] [21.8mb]->[34.1mb]/[34.1mb]}{[old] [99.4mb]->[105.1mb]/[682.6mb]} [2014-08-26 10:38:10,109][INFO ][cluster.service ] [Red Shift] removed {[logstash-Impala-26670-2010][av8JOuEoR_iK7ZO0UaltqQ][Impala][inet[ /61 .x.x.x:9302]]{client= true , data= false },}, reason: zen-disco-node_failed([logstash-Impala-26670-2010][av8JOuEoR_iK7ZO0UaltqQ][Impala][inet[ /61 .x.x.x:9302]]{client= true , data= false }), reason transport disconnected (with verified connect) [2014-08-26 10:39:37,899][WARN ][monitor.jvm ] [Red Shift] [gc][young][71171][54081] duration [3.4s], collections [1]/[4s], total [3.4s]/[26.6m], memory [411.7mb]->[139.5mb]/[989.8mb], all_pools {[young] [272.4mb]->[1.5mb]/[273mb]}{[survivor] [34.1mb]->[29.1mb]/[34.1mb]}{[old] [105.1mb]->[109mb]/[682.6mb]}

安装bigdesk

? 1 2 3 4 5 6 7 要想知道整个插件的列表，请访问http: //www .elasticsearch.org /guide/reference/modules/plugins/ 插件还是很多的，个人认为比较值得关注的有以下几个，其他的看你需求，比如你要导入数据当然就得关注river了。该插件可以查看集群的jvm信息，磁盘IO，索引创建删除信息等，适合查找系统瓶颈，监控集群状态等，可以执行如下命令进行安装，或者访问项目地址:https: //github .com /lukas-vlcek/bigdesk bin /plugin - install lukas-vlcek /bigdesk Downloading .........................................................................................................................................................................................................................................................DONE Installed lukas-vlcek /bigdesk into /usr/local/elasticsearch/plugins/bigdesk Identified as a _site plugin, moving to _site structure ... cp -ar plugins /bigdesk/_site/ /opt/htdocs/www/bigdesk

访问

? 1 http: //localhost/bigdesk

安全优化

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 1.安全漏洞,影响ElasticSearch 1.2及以下版本 http: //bouk .co /blog/elasticsearch-rce//usr/local/elasticsearch/config/elasticsearch .ymlscript.disable_dynamic: true 2.如果有多台机器，可以以每台设置n个shards的方式，根据业务情况，可以考虑取消replias这里设置默认的5个shards, 复制为0，shards定义后不能修改,replicas可以动态修改 /usr/local/elasticsearch/config/elasticsearch .ymlindex.number_of_shards: 5index.number_of_replicas: 0 #定义数据目录(可选)path.data: /opt/elasticsearch 3.内存适当调大，初始是-Xms256M, 最大-Xmx1G,-Xss256k，调大后，最小和最大一样，避免GC, 并根据机器情况，设置内存大小， vi /usr/local/elasticsearch/bin/elasticsearch . in .shif [ “x$ES_MIN_MEM” = “x” ]; then #ES_MIN_MEM=256mES_MIN_MEM=2gfiif [ “x$ES_MAX_MEM” = “x” ]; then#ES_MAX_MEM=1gES_MAX_MEM=2gfi 4.减少shard刷新间隔curl -XPUT ‘http: //61 .x.x.x:9200 /dw-search/_settings ’ -d ‘{“index” : {“refresh_interval” : “-1″}}’ 完成bulk插入后再修改为初始值curl -XPUT ‘http: //61 .x.x.x:9200 /dw-search/_settings ’ -d ‘{“index” : {“refresh_interval” : “1s”}}’ /etc/elasticsearch/elasticsearch .ymltranlog数据达到多少条进行平衡，默认为5000,刷新频率，默认为120sindex.translog.flush_threshold_ops: “100000”index.refresh_interval: 60s 5.关闭文件的更新时间 /etc/fstab 在文件中添加 noatime,nodiratime /dev/sdc1 /data1 ext4 noatime,nodiratime 0 0 自启动chkconfig add redis_6379 vim /etc/rc . local /usr/local/elasticsearch/bin/elasticsearch -d /usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_syslog .conf & /usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_redis .conf & /usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_web .conf & /opt/lemp start nginx

安装问题

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 ========================================== LoadError: Could not load FFI Provider: (NotImplementedError) FFI not available: nullSee http: //jira .codehaus.org /browse/JRUBY-4583 一开始我以为是没有FFI,把jruby,ruby gem都装了一遍.实际是由于我的 /tmp 没有运行权限造成的,建个tmp目录就可以了,附上ruby安装步骤. mkdir /usr/local/jdk/tmp vim /usr/local/logstash/bin/logstash .lib.sh JAVA_OPTS=”$JAVA_OPTS -Djava.io.tmpdir= /usr/local/jdk/tmp ” =============================== jruby 安装 wget http: //jruby .org.s3.amazonaws.com /downloads/1 .7.13 /jruby-bin-1 .7.13. tar .gz mv jruby-1.7.13 /usr/local/ cd /usr/local/ ln -s jruby-1.7.13 jruby Ruby Gem 安装Ruby 1.9.2版本默认已安装Ruby Gem安装gem 需要ruby的版本在 1.8.7 以上，默认的centos5 上都是1.8.5 版本，所以首先你的升级你的ruby ， ruby -vruby 1.8.5 (2006-08-25) [x86_64-linux] wget http: //cache .ruby-lang.org /pub/ruby/1 .9 /ruby-1 .9.3-p547. tar .gz tar zxvf ruby-1.9.3-p547. tar .gz cd ruby-1.9.3-p547 . /configure --prefix= /usr/local/ruby-1 .9.3-p547 make && make install cd /usr/local ln -s ruby-1.9.3-p547 ruby vim /etc/profile export PATH=$JAVA_HOME /bin : /usr/local/ruby/bin :$PATH source /etc/profile gem install bundler gem install i18n gem install ffi ======================= elasticsearch 端口安全绑定内网ip iptables 只开放内网前端机反向代理 server { listen 9201; server_name big.c1gstudio.com; index index.html index.htm index.php; root /opt/htdocs/www ; include manageip.conf; deny all; location / { proxy_passhttp: //192 .168.0.39:9200; proxy_set_headerHost$host; proxy_set_headerX-Real-IP$remote_addr; proxy_set_headerX-Forwarded-For$proxy_add_x_forwarded_for; #proxy_set_headerX-Forwarded-For$remote_addr; add_headerX-Cache Cache-156; proxy_redirect off; } access_log /opt/nginx/logs/access .log access; } kibana的config.js elasticsearch: “http: // ”+window.location. hostname +”:9201″,

原文来自：

http://www.blogjava.NET/paulwong/archive/2015/02/17/422972.html

及

http://my.oschina.net/HeAlvin/blog/378257?p={{page}}

来源:http://blog.csdn.net/wang_zhenwei/article/details/49246415

转载请注明原文地址: https://www.6miu.com/read-754908.html

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