开源分布式搜索平台ELK+Redis+Syslog-ng实现日志实时搜索
轉載:http://my.oschina.net/HeAlvin/blog/378257
目錄[-]
安裝JDK
安裝redis
安裝Elasticsearch
安裝logstash
安裝kibana
ELK整合
命令示例
安全優化
安裝問題
logstash + elasticsearch + Kibana+Redis+Syslog-ng
ElasticSearch是一個基于Lucene構建的開源，分布式，RESTful搜索引擎。設計用于云計算中，能夠達到實時搜索，穩定，可靠，快速，安裝使用方便。支持通過HTTP使用JSON進行數據索引。
logstash是一個應用程序日志、事件的傳輸、處理、管理和搜索的平臺。你可以用它來統一對應用程序日志進行收集管理，提供 Web 接口用于查詢和統計。其實logstash是可以被別的替換，比如常見的fluented
Kibana是一個為 Logstash 和 ElasticSearch 提供的日志分析的 Web 接口?？墒褂盟鼘θ罩具M行高效的搜索、可視化、分析等各種操作。
Redis是一個高性能的內存key-value數據庫,非必需安裝,可以防止數據丟失.
參考:
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/%E5%BC%80%E6%BA%90%E5%88%86%E5%B8%83%E5%BC%8F%E6%90%9C%E7%B4%A2%E5%B9%B3%E5%8F%B0elkelasticsearchlogstashkibana%E5%85%A5%E9%97%A8%E5%AD%A6%E4%B9%A0%E8%B5%84%E6%BA%90%E7%B4%A2%E5%BC%95
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說明
118.x.x.x/16 為客戶端ip
192.168.0.39和61.x.x.x為ELK的內網和外網ip
安裝JDK
http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html
tar zxvf jdk-7u67-linux-x64.tar.gz\?AuthParam\=1408083909_3bf5b46169faab84d36cf74407132b
mv jdk1.7.0_67 /usr/local/
cd /usr/local/
ln -s jdk1.7.0_67 jdk
chown -R root:root jdk/
配置環境變量
vi /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
變量生效
source /etc/profile
驗證版本
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)
如果之前安裝過java,可以先卸載
rpm -qa |grep java
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
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
安裝redis
http://redis.io/
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]
編輯配置文件
vi /etc/redis/6379.conf
daemonize yes
port 6379
timeout 300
tcp-keepalive 60
啟動
/etc/init.d/redis_6379 start
exists, process is already running or crashed
如報這個錯,需要編輯下/etc/init.d/redis_6379,去除頭上的\n
加入自動啟動
chkconfig –add redis_6379
安裝Elasticsearch
http://www.elasticsearch.org/
http://www.elasticsearch.cn
集群安裝只要節點在同一網段下，設置一致的cluster.name，啟動的Elasticsearch即可相互檢測到對方，組成集群
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
以后臺方式運行
elasticsearch/bin/elasticsearch -d
訪問默認的9200端口
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"
}
安裝logstash
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
因為java的默認heap size,回收機制等原因,logstash從1.4.0開始不再使用jar運行方式.
以前方式:
java -jar logstash-1.3.3-flatjar.jar agent -f logstash.conf
現在方式:
bin/logstash agent -f logstash.conf
logstash下載即可使用，命令行參數可以參考logstash flags，主要有
http://logstash.net/docs/1.2.1/flags
安裝kibana
logstash的最新版已經內置kibana，你也可以單獨部署kibana。kibana3是純粹JavaScript+html的客戶端，所以可以部署到任意http服務器上。
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
vi /opt/htdocs/www/kibana/config.js
配置elasticsearch源
elasticsearch: “http://”+window.location.hostname+”:9200″,
加入iptables
6379為redis端口,9200為elasticsearch端口,118.x.x.x/16為當前測試時的客戶端ip
iptables -A INPUT -p tcp -m tcp -s 118.x.x.x/16 --dport 9200 --j ACCEPT
測試運行前端輸出
bin/logstash -e ‘input { stdin { } } output { stdout {} }’
輸入hello測試?
2014-08-20T05:17:02.876+0000 Impala hello
測試運行輸出到后端
bin/logstash -e ‘input { stdin { } } output { elasticsearch { host => localhost } }’
訪問kibana
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
設置kibana讀取源
在kibana的右上角有個 configure dashboard,再進入Index Settings
[logstash-]YYYY.MM.DD
這個需和logstash的輸出保持一致
elasticsearch 跟 MySQL 中定義資料格式的角色關系對照表如下
MySQL elasticsearch
database index
table type
table schema mapping
row document
field field
ELK整合
syslog-ng.conf
#省略其它內容
?
# 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 }
}
啟動elasticsearch和logstash
/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 &
關閉
ps aux|egrep ‘search|logstash’
kill pid
安裝控制器elasticsearch-servicewrapper
如果是在服務器上就可以使用elasticsearch-servicewrapper這個es插件，它支持通過參數，指定是在后臺或前臺運行es，并且支持啟動，停止，重啟es服務（默認es腳本只能通過ctrl+c關閉es）。使用方法是到https://github.com/elasticsearch/elasticsearch-servicewrapper下載service文件夾，放到es的bin目錄下。下面是命令集合：
bin/service/elasticsearch +
console 在前臺運行es
start 在后臺運行es
stop 停止es
install 使es作為服務在服務器啟動時自動啟動
remove 取消啟動時自動啟動
vi /usr/local/elasticsearch/service/elasticsearch.conf
set.default.ES_HOME=/usr/local/elasticsearch
命令示例
查看狀態
http://61.x.x.x:9200/_status?pretty=true
集群健康查看
http://61.x.x.x:9200/_cat/health?v
epoch timestamp cluster status node.total node.data shards pri relo init unassign
1409021531 10:52:11 elasticsearch yellow 2 1 20 20 0 0 20
列出集群索引
http://61.x.x.x:9200/_cat/indices?v
health index pri rep docs.count docs.deleted store.size pri.store.size
yellow web-2014.08.25 5 1 5990946 0 3.6gb 3.6gb
yellow kibana-int 5 1 2 0 20.7kb 20.7kb
yellow syslog-2014 5 1 709 0 585.6kb 585.6kb
yellow web-2014.08.26 5 1 1060326 0 712mb 712mb
刪除索引
curl -XDELETE ‘http://localhost:9200/kibana-int/’
curl -XDELETE ‘http://localhost:9200/logstash-2014.08.*’
優化索引
$ curl -XPOST ‘http://localhost:9200/old-index-name/_optimize’
查看日志
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]}
安裝bigdesk
要想知道整個插件的列表，請訪問http://www.elasticsearch.org/guide/reference/modules/plugins/ 插件還是很多的，個人認為比較值得關注的有以下幾個，其他的看你需求，比如你要導入數據當然就得關注river了。
該插件可以查看集群的jvm信息，磁盤IO，索引創建刪除信息等，適合查找系統瓶頸，監控集群狀態等，可以執行如下命令進行安裝，或者訪問項目地址: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
訪問
http://localhost/bigdesk
安全優化
1.安全漏洞,影響ElasticSearch 1.2及以下版本 http://bouk.co/blog/elasticsearch-rce/
/usr/local/elasticsearch/config/elasticsearch.yml
script.disable_dynamic: true
2.如果有多臺機器，可以以每臺設置n個shards的方式，根據業務情況，可以考慮取消replias
這里設置默認的5個shards, 復制為0，shards定義后不能修改,replicas可以動態修改
/usr/local/elasticsearch/config/elasticsearch.yml
index.number_of_shards: 5
index.number_of_replicas: 0
#定義數據目錄(可選)
path.data: /opt/elasticsearch
3.內存適當調大，初始是-Xms256M, 最大-Xmx1G,-Xss256k，
調大后，最小和最大一樣，避免GC, 并根據機器情況，設置內存大小，
vi /usr/local/elasticsearch/bin/elasticsearch.in.sh
if [ “x$ES_MIN_MEM” = “x” ]; then
#ES_MIN_MEM=256m
ES_MIN_MEM=2g
fi
if [ “x$ES_MAX_MEM” = “x” ]; then
#ES_MAX_MEM=1g
ES_MAX_MEM=2g
fi
4.減少shard刷新間隔
curl -XPUT ‘http://61.x.x.x:9200/dw-search/_settings’ -d ‘{
“index” : {
“refresh_interval” : “-1″
}
}’
完成bulk插入后再修改為初始值
curl -XPUT ‘http://61.x.x.x:9200/dw-search/_settings’ -d ‘{
“index” : {
“refresh_interval” : “1s”
}
}’
/etc/elasticsearch/elasticsearch.yml
tranlog數據達到多少條進行平衡，默認為5000,刷新頻率，默認為120s
index.translog.flush_threshold_ops: “100000”
index.refresh_interval: 60s
5.關閉文件的更新時間
/etc/fstab
在文件中添加 noatime,nodiratime
/dev/sdc1 /data1 ext4 noatime,nodiratime 0 0
自啟動
chkconfig add redis_6379
vi /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 startnginx
安裝問題
==========================================
LoadError: Could not load FFI Provider: (NotImplementedError) FFI not available: null
See http://jira.codehaus.org/browse/JRUBY-4583
一開始我以為是沒有FFI,把jruby,ruby gem都裝了一遍.
實際是由于我的/tmp沒有運行權限造成的,建個tmp目錄就可以了,附上ruby安裝步驟.
mkdir /usr/local/jdk/tmp
vi /usr/local/logstash/bin/logstash.lib.sh
JAVA_OPTS=”$JAVA_OPTS -Djava.io.tmpdir=/usr/local/jdk/tmp”
===============================
jruby 安裝
wget http://jruby.org.s3.amazonaws.com/downloads/1.7.13/jruby-bin-1.7.13.tar.gz
mv jruby-1.7.13 /usr/local/
cd /usr/local/
ln -s jruby-1.7.13 jruby
Ruby Gem 安裝
Ruby 1.9.2版本默認已安裝Ruby Gem
安裝gem 需要ruby的版本在 1.8.7 以上，默認的centos5 上都是1.8.5 版本，所以首先你的升級你的ruby ，
ruby -v
ruby 1.8.5 (2006-08-25) [x86_64-linux]
wget http://cache.ruby-lang.org/pub/ruby/1.9/ruby-1.9.3-p547.tar.gz
tar zxvf ruby-1.9.3-p547.tar.gz
cd ruby-1.9.3-p547
./configure --prefix=/usr/local/ruby-1.9.3-p547
make && make install
cd /usr/local
ln -s ruby-1.9.3-p547 ruby
vi /etc/profile
export PATH=$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
綁定內網ip
iptables 只開放內網
前端機反向代理
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_pass http://192.168.0.39:9200;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
#proxy_set_header X-Forwarded-For $remote_addr;
add_header X-Cache Cache-156;
proxy_redirect off;
}
access_log /opt/nginx/logs/access.log access;
}
kibana的config.js
elasticsearch: “http://”+window.location.hostname+”:9201″,
轉載于:https://blog.51cto.com/mengphilip/1688830
總結
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