Log System ELK usage (4) -- kibana installation and use, elk -- kibanaOverview
Log System ELK usage (1)-How to UseLog System ELK usage (2)-Logstash Installation and UseLog System ELK usage (III)-elasticsearch InstallationLog System ELK usage (4)-kibana Installation and UseLog System ELK usage (5)-Supplement
This is the last article in this small series. We will see how to install
load them so that we can use the Filebeat index pattern that it includes.
First, download the sample dashboard archive to your home directory:
CD/USR/LOCAL/SRC
curl-l-o https://download.elastic.co/beats/dashboards/beats-dashboards-1.1.0.zip
Install unzip package, unzip beats
sudo yum-y install unzip
unzip Beats-dashboards-*.zip
./load.sh
These are the index patterns we just loaded: [PACKETBEAT-]YYYY. Mm. DD [topbeat-]yyyy. Mm. DD [filebeat-]yyyy. M
Elasticsearch, Fluentd and Kibana: Open source log search and visualization schemeOffers: Zstack communityObjectiveThe combination of Elasticsearch, Fluentd and Kibana (EFK) enables the collection, indexing, searching, and visualization of log data. The combination is an alternative to commercial software Splunk: Splunk is free at the start, but charges are required if there is more data.This article descri
index pattern named ' ba* '.
The Logstash data set does contain time-series data, so after clicking Add New to define the index for this data set, make Sure the Index contains time-based events box is checked and select the @timestamp field from the Time-field name drop-do Wn.
The Logstash dataset contains the data for the time series, so after clicking ' Add New ' to define the index for the dataset, make sure that the ' Index contains time-based events ' column is closed from ' Time-field nam
provides data analysis for Elasticsearch. It can be used to efficiently search, visualize, analyze and perform various operations on the log.
2.1 Download kibana-5.4.2*.tar.gz
wget https://artifacts.elastic.co/downloads/kibana/kibana-5.4.2-linux-x86_64.tar.gz
Sha1sum kibana
your elasticsearch cluster is up and running properly.Installing KIABNAKibana is a WEB interface that provides data analysis for ElasticSearch. It can be used to efficiently search, visualize and analyze logs.First download the latest version of the KIABNA compression package to the official website.You can use the following command to fill in the latest available download links:https://artifacts.elastic.c
path variable is added. After the installation is complete, check: 3.head installation Download Elasticsearch-head : Https://github.com/mobz/elasticsearch-head, unzip after download. Modify Head Source Catalog: C:\elasticsearch-head-master\Gruntfile.js: Find the Connect property below and add hostname: ' * ': 4. Modify the Elasticsearch configuration file To edit C:\elasticsearch-5.5.1\config\config\
Flume
Twitter Zipkin
Storm
These projects are powerful, but are too complex for many teams to configure and deploy, and recommend lightweight download-ready scenarios, such as the Logstash+elasticsearch+kibana (LEK) combination, before the system is large enough to a certain extent.For the log, the most common need is to collect, query, display, is corresponding to Logstash, Elasticsearch,
Elasticsearch Kibana Installation notes
Kibana is a dashboard used for ElasticSearch analysis and query. It is worth noting that Kibana puts the analysis before the query, which is probably distinguished by other clients.
For more information about Kibana, see here.
Install Kibana
Linux version: CentOS7Kibana version: 5.6.2First thing to do: Turn off the firewall.Centos7 with "Service Firewalld stop"CENTOS6 with "Service iptables stop"Download the corresponding RPM package on the official website and upload it to the/data/kibana5.6.2 path via WINSCP (see my Elasticsearch installation tutorial for details here: http://blog.51cto.com/13769141/2152971)Elk Official Website Download kiban
Installation Rpm-ivh elasticsearch-5.5.0.rpmConfigurationFind the installation directory Whereis elasticsearch//Enter the installation directory cd/etc/elasticsearch//edit the Profile VI elasticsearch.ymlMain configuration network.host (native IP) and http.port (default 9200) (current single-node mode, other parameters refer to official documentation)Start the serviceOpen port 9200firewall-cmd--add-port=9200/tcp--permanent//Reload configuration firewall-cmd--reload//Set service boot up systemct
files, forwarding
The operating principle is as follows:
first, the test environment planning diagram
Operating system centos6.5 x86_64
Elk server:192.168.3.17
To avoid interference, turn off the firewall and SELinux
Service Iptables off
Setenforce 0
Three machines need to modify the Hosts file
Cat/etc/hosts
192.168.3.17 elk.chinasoft.com
192.168.3.18 rsyslog.chinasoft.com
192.168.3.13 nginx.chinasoft.com
Modify Host Name:
Hostname elk.chinasoft.com
Mkdir-p/data/elk
Preliminary discussion on Elk-kibana usage Summary2016/9/121, installation of 2 ways to download, recommended cache RPM package to the local Yum Source 1) directly using rpmwgethttps://download.elastic.co/kibana/kibana/kibana-4.6.1-x86_64. RPM2) using the Yum source [[emailp
In linux, The ElasticSearch.6.2.1 and head, Kibana, X-Pack, SQL, IK, and PINYIN plug-ins are configured and installed,1. Install elasticsearch-head1.1 directly using command Installation Error
elasticsearch-6.2.0\bin>elasticsearch-plugin install elasticsearch-headA tool for managing installed elasticsearch pluginsCommands--------list - Lists installed elasticsearch pluginsinstall - Install a pluginremove - removes a plugin from ElasticsearchNon-option
source, distributed, restful search engine built on Lucene. Designed for cloud computing, it can achieve real-time search, stable, reliable, fast, easy to install and use.Elasticsearch 1.4.2:http://www.elasticsearch.org/download/2 , Logstash: is a fully open source tool that collects, analyzes, and stores your logs for later use (e.g., search), which you can use. When it comes to search, Logstash comes with a web interface that searches and displays
submitted to logstash indexer and avoid data loss caused by sudden power outages.
Elasticsearch: an open-source search engine framework that provides a distributed full-text search engine with multi-user capabilities, based on restful web interfaces. You can also perform multiple data clusters to improve efficiency. The purpose here is to read data from redis and forward it to kibana.
Kibana: displays the
Building real-time log collection system with Elasticsearch,logstash,kibanaIntroduction
This set of systems, Logstash is responsible for collecting processing log file contents stored in the Elasticsearch search engine database. Kibana is responsible for querying the elasticsearch and presenting it on the web.
After the Logstash collection process harvests the log file contents, it outputs to the Redis cache, and the other Logstash proces
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