1. Workflow of Log Platform650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M01/71/5F/wKioL1XNWHGwPB_ZAAErAE7qZjQ757.jpg "title=" 1.png " alt= "Wkiol1xnwhgwpb_zaaerae7qzjq757.jpg"/>
shipper means log collection, using Logstash to collect log data from various sources, such as system logs, files, Redis, MQ, and so on;
broker as a buffer between the remote agent and the central agent, using Redis implementation, one can improve the performance of the system, the secon
Installation and deployment one, environment configuration
Operating system: Cent OS 7
Kibana version: 3.1.2
JDK version: 1.7.0_51
SSH Secure Shell version: Xshell 5
Second, operation process 1: Download the specified version of the KibanaGo to the installation directory and download the Kibana compressed package file and unzip it via the Curl command:
Download
Curl-l
Overview
Log System Elk use details (i)-How to useLog System Elk use details (ii) –logstash installation and useElk Use of log system (iii) –elasticsearch installationLog System Elk use details (iv) –kibana installation and useElk Use of log system (v)-supplement
This is the last of the small series, and we'll see how to install Kibana and make a quick query about the log information in elk.
Original address: http://www.cnblogs.com/saintaxl/p/3946667.htmlIn short, his specific workflow is to Logstash agent to monitor and filter the log, the filtered log content to Redis (here Redis only processing queues do not store), Logstash Index collects the logs together to the full-text search service Elasticsearch can use Elasticsearch to customize the search by Kibana to combine custom search for page presentation
Ruby Run
Elasticsearch and Kibanna's link address: https://www.elastic.co/downloads, The packages I use in my environment are kibana-4.1.1-linux-x64.tar.gz and elasticsearch-1.7.1.zip.Installing ElasticsearchIt is assumed that the Java environment has been configured before, so it can be installed directly.[Email protected] ~]# Unzip Elasticsearch-1.7.1.zip[Email protected] ~]# MV Elasticsearch-1.7.1/usr/local/elasticsearchInstalling
adding or modifying inputs, outputs, and filters in your profile, thus making it easier to tailor a more reasonable storage format for the query.Integrated Elasticsearch Insert data above steps have been successfully built Logstash, then add logstash configuration file, so that its configuration file start, the data into ES, display1. Add logs.conf under the/root/config/directoryinput{file{type = "all" Path = "/root/tomcat7/logs/catalina.out"} file{type =gt ; "Access" path = "/root/tomcat7/logs
, sorting and statistics and the large number of machines still use such a method is a little too hard.
Open source real-time log analysis Elk platform can perfectly solve our problems above, elk by Elasticsearch, Logstash and Kiabana three open source tools. Official 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, mu
Kibana + Logstash + Elasticsearch log query system, kibanalostash
The purpose of this platform is to facilitate log query During O M and R D. Kibana is a free web shell. Logstash integrates various log collection plug-ins and is also an excellent regular-cut log tool. Elasticsearch is an open-source search engine framework (supporting cluster architecture ).
1 installation requirement 1.1 theoretical Topo
Document directory
4. Performance Tuning
The purpose of this platform is to facilitate log query During O M and R D. Kibana is a free web shell. logstash integrates various log collection plug-ins and is also an excellent regular-cut log tool. elasticsearch is an open-source search engine framework (supporting cluster architecture ).
1 installation requirement 1.1 theoretical Topology
1.2 installation environment 1.2.1 hardware environment
192
The purpose of building this platform is to facilitate the operation of the research and development of the log query. Kibana a free web shell; Logstash integrates various collection log plug-ins, or is a good regular cutting log tool; Elasticsearch an open-source search engine framework that supports the cluster architecture approach.1 Installation Requirements 1.1 theoretical topology1.2 Installation Environment 1.2.1 hardware environment192.168.50.
Do Android 3 years, the network is not very concerned about, and now look let me eat a surprise, many of the previously expected features are open source, and powerful, try a bit. Simple trialDownload elasticsearch-1.4.2 and startDownload logstash-1.4.2, run the following commandBin/logstash-e ' input {stdin {}} output {elasticsearch {host = localhost}} 'The data entered by the console will be logstash to Elasticsearch (so Logstash is a data glue or connector)Found a more index (but also a usele
Kibana do not select the field you want to select, that is, the term to filter the selected field when the Discovery list does not have this option.650) this.width=650; "src=" Http://s3.51cto.com/wyfs02/M01/79/08/wKiom1aFAWuSYiPXAAAaSCMrdEo742.gif "style=" float: none; "title=" 3.gif "alt=" Wkiom1afawusyipxaaaascmrdeo742.gif "/>Go to discover to see, found that this field is preceded by a question mark, click to prompt this field is not indexed, not f
For details about how to import logs to elasticsearch clusters Through flume, see flume log import to elasticsearch clusters.Kibana Introduction
Kibana Homepage
Kibana is a powerful elasticsearch data display client. logstash has built-in kibana. You can also deploy kibana separately. The latest version of kibana3 is
Fluentd is an open source collection event and log system that currently offers 150 + extensions that let you store big data for log searches, data analysis and storage.
Official address http://fluentd.org/plugin address http://fluentd.org/plugin/
Kibana is a Web UI tool that provides log analysis for ElasticSearch, and it can be used to efficiently search, visualize, analyze, and perform various operations on logs. Official Address http://www.elastic
=" Head.png "alt=" Wkiom1esmxwaogtzaajhix4lznm047.png "/>Marvel Plugin : The first step on es: bin/plugin install license, bin/plugin install elasticsearch/marvel/latest (all es are installed) /c4>The second section is in the bin directory of the Kibana: Kibana plugin--install elasticsearch/marvel/latest650) this.width=650; "src=" Http://s5.51cto.com/wyfs02/M01/85/AE/wKioL1esMyizuCSsAAK1nD-zT9g214.png "titl
Nlog, Elasticsearch, Kibana and LogstashObjectiveRecently in the document management, it is necessary to record each administrator and user in the process of all operational records, originally through the EF directly to record the operation data in the database, when the query directly from the database read, but this is too stupid, so found on the Internet Logstash this NB tool, Share with you the process of learning.Environment preparationThese thr
Install the latest version, install the 6.* versionFirst prompt an important thing, Kibana new version does not need to install sense, the official is the old version of Kibana only need, we now use DevtoolHttp://localhost:5601/app/kibana#/dev_tools/console?_g= ()Because the official documents a bit long, caused me to install the system when the time to go a lot
PartyCase BackJingTypically, the logs are stored on different devices that are scattered. If you manage hundreds of dozens of of servers, you are also using the traditional method of logging in to each machine in turn. This is not feeling very cumbersome and inefficient. Open Source Real-time log analyticsELKthe platform can perfectly solve the problem of log collection and log retrieval and analysis,elk means Elasticsearch .,Logstashand theKiabanaThree of open source tools. Because elk can be d
Log into the Elasticsearch cluster via flume see here: Flume log import ElasticsearchKibana IntroductionKibana HomeKibana is a powerful elasticsearch data display Client,logstash has built-in Kibana. You can also deploy Kibana alone, the latest version of Kibana3 is pure html+jsclient. can be very convenient to deploy to Apache, Nginx and other httpserver.Address of Kibana3: https://github.com/elasticsearch
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