logstash kibana

ELK classic usage-enterprise custom log collection cutting and mysql module, elkmysql This article is included in the Linux O M Enterprise Architecture Practice Series1. Collect custom logs of cutting companies The logs of many companies are not the same as the default log format of the service. Therefore, we need to cut the logs.1. sample logs to be cut 11:19:23, 532 [143] DEBUG performanceTrace 1145 http://api.114995.com: 8082/api/Carpool/QueryMatchRoutes 183.205.134.240 null 972533 310000 86

https://mp.weixin.qq.com/s?__biz=MjM5MDkwNjA2Nw==mid=2650373776idx=1sn= e823e0d8d64e6e31d22e89b3d23cb759scene=1srcid=0720bzuzpl916ozwvgfiwdurkey= 77421cf58af4a65382fb69927245941b4402702be12a0f1de18b1536ac87135d4763eab4e820987f04883090d6c327b6ascene=0 uin=mjm1nzqymju4ma%3d%3ddevicetype=imac+macbookpro11%2c3+osx+osx+10.9.5+build (13F1134) version= 11020201pass_ticket=%2ffa%2bpunyakluvklmowgfej98fet9nhj4aewiblccnxmupsxriailomhskhy6z2czWhat is 0x01 elk?Elk is an abbreviation for the three applicatio

First, Introduction1. Core compositionELK Consists of three parts: Elasticsearch,Logstash and Kibana ;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.Logstash is a fully open source tool that collects, analyzes, and stores

1 Overview The ELK kit (ELK stack) refers to the three-piece set of Elasticsearch, Logstash, and Kibana. These three software can form a set of log analysis and monitoring tools. 2 Environment Preparation 2.1 Firewall Configuration In order to use HTTP services normally, you need to shut down the firewall: [plain] view plain Copy # service iptables stop Or you can not turn off the firewall, but open the r

and Message Queuing, to achieve fast data storage. And its disadvantage: because all the data are written to Kafka, will lead to excessive topic, causing disk competition, which seriously drag Kafka performance. In addition, if all the data use a unified label, because we do not know the specific categories of data collected, we will be difficult to achieve the separation of data. Therefore, in the subsequent optimization of the transmission mechanism, we have to transform and implement the

is indexed, the word breaker extracts several words from the document to support the storage and search of the index. A word breaker, which consists of a decomposition device and 0 or more word-element filters. Commonly used are: one yuan participle standardanalyzer, two yuan participle cjkanalyzer, based on the word base of the sub- word smartchineseanalyzer. ELK (1) e refers to Elasticsearch. (2) L refers to Logstash. is a flexible open source da

Pre-Preparation Elk Official Website: https://www.elastic.co/, package download and perfect documentation. Zookeeper Official website: https://zookeeper.apache.org/ Kafka official website: http://kafka.apache.org/documentation.html, package download and perfect documentation. Flume Official website: https://flume.apache.org/ Heka Official website: https://hekad.readthedocs.io/en/v0.10.0/ The system is a centos6.6,64 bit machine. Version of the software used:

} \| (?:%{number:body_bytes_sent}|-) \| (?:%{number:bytes_sent}|-) \| (?:%{notspace:gzip_ratio}|-) \| (?:%{qs:http_referer}|-) \| %{qs:user_agent} \| (?:%{qs:http_x_forwarded_for}|-) \| (%{urihost:upstream_addr}|-) \| (%{base16float:upstream_response_time}) \| %{number:upstream_status} \| (%{base16float:request_time}) "]} geoip {source =>" ClientIP "Target =>" Geoi P "Add_field => [[Geoip][coordinates]", "%{[geoip][longitude]}"] Add_field => ["[Geoip][coordinates]" , "%{[geoip][latitude]} "]} mu

The article "Small and medium-sized team quickly build SQL Automatic Audit system" We completed the automatic audit and implementation of SQL, not only improve the efficiency is also by the colleague's affirmation, the heart flattered. But the collection and processing of slow queries also cost us too much time and effort, how can we improve efficiency in this piece? and see how this article explains how to use elk to do slow log collection Elk Introduction Elk is the earliest Elasticsearch (

Kibana is a elasticsearch front-end presentation tool based on a browser page. Kibana are all written in HTML and JavaScript. Kibana is a WEB interface that provides log parsing for Logstash and ElasticSearch. It can be used to efficiently search, visualize and analyze logs. 1 configurationEdit Config/kibana.yml Vim C

ELK is a combination of Elasticsearch Logstash Kibana;Here is a simple how to install under the centos6.x system, follow-up write how to use these software;This is based on the official website recommended using Yum method installed;1. ElasticsearchRPM--import Https://packages.elastic.co/GPG-KEY-elasticsearcCat/etc/yum.repos.d/elsticsearch.repo[Elasticsearch-2.x]name=elasticsearch repository for 2.x package

configurationVim _site/app.js#localhost替换为IP地址This.base_uri = This.config.base_uri | | This.prefs.get ("App-base_uri") | | "Http://10.2.151.203:9200";7.) Start GruntGrunt Server#如果启动成功, you can run directly in the background and the command line can continue typing (but if you want to quit, you need to kill the process yourself)Grunt Server Nohup Grunt Server Exit #后台启动#启动提示模块未找到 > Local Npm Module "Grunt-contrib-jasmine" not found. Is it installed?NPM Install Grunt-contrib-jasmine #安