docker elk

elk-6.1.2 study notes One, the environment Centos7, elasticsearch-6.1.2 installs openjdk-1.8: Yum Install java-1.8.0-openjdk.x86_64 java-1.8.0-openjdk-devel.x86_64Configure Java_home (~/.bash_profile): # add java_home=/usr/lib/jvm/java path= $PATH: $JAVA _home/binModify File:/etc/sysctl.conf # Execute sysctl-p effective Vm.max_map_count = 262144Modify File:/etc/security/limits.conf # re-login active esearch soft nofile 65536 esearch hard nofile 131072

-storm-0.9. 5 . TAR.GZCD Apache-storm-0.9. 5 /etc/Profileadds the following: Export storm_home=/home/dir/downloads/apache-storm-0.9. 5 export PATH= $STORM _home/bin: $PATHMake environment variables effectivesource /etc/profileModify Storm ConfigurationVI conf/Storm.yaml modified as follows: Storm.zookeeper.servers:-"127.0.0.1"# -"Server2"Storm.zookeeper.port:2181 //Zookeeper Port default is 2181Nimbus.host:"127.0.0.1"# # Storm.local.dir:"/home/dir/storm"Ui.port:8088Start StormStart Zoo

: '. ',Keepalive:true}}}Description:elasticsearch-head-master/_site/app.js, modify the address of head connection es to localhost modified to es IP address"Http://localhost:9200"; Es does not need to be modified locally(6) execute Grunt server boot head(7) Elasticsearch configuration file modification AddHttp.cors.enabled:trueHttp.cors.allow-origin: "*"Description: Parameter one: If you enable the HTTP Port, this property specifies whether to allow cross-origin REST requests.parameter two: if

Installation process:Add laterContent reference: http://udn.yyuap.com/thread-54591-1-1.html; Https://www.cnblogs.com/yanbinliu/p/6208626.htmlThe following issues were encountered during the build test:1.FileBeat journal "Dial TCP 127.0.0.1:5044:connectex:no connection could be made because the target machine actively refused ItResolution process:A: Modify the Filebeat folder in the Filebeat.yml file, the direct output of the results to Elasticsearch, the test elasticsearch can view the data, to

\bin\logstash.bat file,behind the setlocal, Add a line to the front of call "%script_dir%\setup.bat":@echo Offsetlocalset Script_dir=%~dp0set java_home =c:\program files\java\jdk1.8 . 0_40 Call"%script_dir%\setup.bat": Execrem is the first argument a flag? If So, assume'Agent'Set First_arg=%1setlocal enabledelayedexpansionif "!first_arg:~0,1!"Equ"-" ( if "%vendored_jruby%"=="" ( %rubycmd%"%ls_home%\lib\bootstrap\environment.rb" "logstash\runner.rb"%* ) Else ( %jruby_bin%%jruby_opts%"%ls_

. internal.173'Data_type => 'LIST'Port => "6379"Key => 'nginx'# Type => 'redis-input'# Codec => JSON}}Filter {Grok {Type => "Linux-syslog"Pattern => "% {syslogline }"}Grok {Type => "nginx-access"Pattern => "% {iporhost: source_ip}-% {Username: remote_user} \ [% {httpdate: Timestamp} \] % {iporhost: Host} % {QS: request }%{ INT: Status }%{ INT: body_bytes_sent }%{ QS: http_refereR }%{ QS: http_user_agent }"}}Output {# Stdout {codec => rubydebug}Elasticsearch {# Host => "es1.internal. 173, es2.int

=" Wkiom1esnf2spnajaagskazveiw369.png "/>5, LogstashStarting mode Bin/logstash-f logstash.confThe whole logstash is basically the Conf configuration file, YML formatI started by Logstash Agent to upload the log to the same redis, and then use the local logstash to pull the Redis log650) this.width=650; "src=" Http://s3.51cto.com/wyfs02/M01/85/AE/wKioL1esM-ThgKMbAAC6mEEOSQk423.png "style=" float: none; "title=" Logstash-agent.png "alt=" Wkiol1esm-thgkmbaac6meeosqk423.png "/>650) this.width=650; "

-xpost Http://192.168.10.49:9200/_snapshot/my_backup/snapshot_20160812/_restoreIf you have a cluster and you do not configure a shared folder when you create the warehouse, the following error will be reported{"Error": "repositoryexception[[my_backup]failedtocreaterepository];nested: CREATIONEXCEPTION[GUICENBSP;CREATIONNBSP;ERRORS:\N\N1) Errorinjectingconstructor, ORG.ELASTICSEARCH.REPOSITORIES.REPOSITORYEXCEPTION:NBSP;[MY_BACKUP]NBSP;LOCATIONNBSP;[/MNT/BAK]NBSP;DOESN ' tmatchanyofthelocationssp

Test 2 configuration of the latest ELK Stack versionRead this articleThe detailed configuration is as follows:Http://blog.chinaunix.net/uid-25057421-id-5567766.htmlI. Client1. nginx log formatLog_format logstash_json '{"@ timestamp": "$ time_iso8601 ",''"Host": "$ server_addr ",''"Clientip": "$ remote_addr ",''"Size": $ body_bytes_sent ,''"Responsetime": $ request_time ,''"Upstreamtime": "$ upstream_response_time ",''"Upstreamhost": "$ upstream_addr "

, your Kibana IIS logs is shipped now to the Logstash instance.Just Remember, if you run this website over the Internet you probably need to make sure port 9200 are accessible but I Woul D restrict it to internal use only so Kibana can reach it and not the outside world.If you want the logs from another server to your Loghost server I would suggest to has a look into a program called " Nxlog "(http://nxlog-ce.sourceforge.net/) This was a fairly simple by shipping logs to Lgstash and works perfec

I've recently learned a little about elk:ELK consists of three open source tools, Elasticsearch, Logstash and KiabanaOfficial website: https://www.elastic.co/products| Elasticsearch is an open source distributed search engine, it features: distributed, 0 configuration, automatic discovery, Index auto-shard, index copy mechanism, RESTful style interface, multi-data source, automatic search load, etc.L Logstash is a fully open source tool that collects, analyzes, and stores your logs for later use

/patterns"Match + = {"Message" = "%{apache_log}"} Remove_field = ["Message"]} Date {match = = ["Timestamp", "Dd/mmm/yyyy:hh:mm:ss Z"]}}}Patterns_dir is the path to the Grok expression that is defined only.The custom patterns is written in the format Logstash comes with.Apache_log%{iporhost:addre}%{user:ident}%{user:auth} \[%{httpdate:timestamp}\] \ "%{word:http_method}%{NOTSPACE: Request} http/%{number:httpversion}\ "%{number:status} (?:%{number:bytes}|-) \" (?:%{uri:http_referer}|-) \ "\"%{ Gre

Introduction:First of all, we should all know the function and principle of WAF, the market is basically using Nginx+lua to do, here is no exception. But slightly different, the logic is not in Lua.Instead of using Elasticsearch for analysis, LUA only uses the analyzed IP address to block, greatly reducing the direct interruption caused by false positives and other failures.The architecture diagram is as follows:You can get the following useful data:1.pv,uv,ip and other data2. After the analysis

-head (is the cluster Front section display page)Switch to the bin directory to execute./plugin Install Mobz/elasticsearch-headPage display: Http://localhost/_plugin/headTest:Curl http://localhost:9200 appears with a JSON data indicating a successful start, as follows { "status": $, "name": " Omen ", "version" : { "number": "1.1.1",

1. ELK stat Cluster deployment +grafana and visual graphics650) this.width=650; "src=" Https://s2.51cto.com/wyfs02/M00/8C/ED/wKiom1h93qTA3botAAJbSWXYQlA703.png "title=" QQ picture 20170117170503.png "alt=" Wkiom1h93qta3botaajbswxyqla703.png "/>2, follow-up will be updated 、、、、、、、、、、、、、、、、。This article is from the "Think" blog, make sure to keep this source http://10880347.blog.51cto.com/346720/1892667ELK stat Cluster deployment +grafana and visual gra

= Org.apache.flume.sink.kafka.KafkaSinkAgent.sinks.sink-1.topic = Avro_topicAgent.sinks.sink-1.brokerlist = ip:9092Agent.sinks.sink-1.requiredacks = 1Agent.sinks.sink-1.batchsize = 20Agent.sinks.sink-1.channel = ch-1Agent.sinks.sink-1.channel = ch-1Agent.sinks.sink-1.type = HBaseagent.sinks.sink-1.table = Logsagent.sinks.sink-1.batchsize = 100agent.sinks.sink-1.columnfamily = FlumeAgent.sinks.sink-1.znodeparent =/hbaseAgent.sinks.sink-1.zookeeperquorum = ip:2181Agent.sinks.sink-1.serializer = O

also involves a complex data acquisition environment Simple and clear, three parts of the properties are defined, just choose the best, and you can develop the plug-in itself Historical background Originally designed to pass data into HDFs, focusing on transport (multi-routing), heavy-stability Focus on the preprocessing of the data, because the log fields require a lot of preprocessing, to pave the parsing Contrast Like the bulk of the desktop, t

This article mainly for their own detours and do the supplement, to small white (for example, I) to say some of the blog is still advanced, specifically to this add some things.Main steps Reference http://blog.csdn.net/ywheel1989/article/details/60519151Problems1, to me such what preparation is not small white speaking, the first step Brew command is not through. So this is not the step of the classmate move https://brew.sh/2, after the JDK version of the problem, Bo Master originally JDK is 1.7

Configuring, starting KibanaTo Kibana's installation directory:　　The default configuration is sufficient.Visit localhost:5601, Web page display:Proof of successful start-up.Create a Springboot ProjectThe starting dependency is as follows:　　log4j configuration,/src/resources/log4j.properties as follows:log4j.rootlogger=info,console# for package Com.demo.elk, log would is sent to socket appender.log4j.logger.com.forezp= DEBUG, socket# Appender socketlog4j.appender.socket=org.apache.log4j.net.socke

LK StackIn general:1, developers are unable to log on to the online server to view log information2, various systems log a wide range of log data scattered difficult to find3, the volume of log data is large, the query speed is slow, the data is not enough real time4, a call involves multiple systems, which makes it difficult to locate data quickly in these systems Elk Stack = Elastic Search + Logstash + Kibana20160305165135.pngHere's Redis, loosely