installation, before installation to ensure that they have installed Docker-compose, installation address: Https://github.com/deviantony/docker-elk.git, After installation Access service address: http://localhost:5601,http://localhost:9200.Elk official Chinese documentsElasticsearch authoritative Guide Chinese version (2.x)Kibana Chinese Manual (6.0)All right, elk
=9200 It is this configuration by default, no special requirements, no modifications are required locally.Start Elasticsearch./bin/elasticsearch Launch success, access to localhost:9200, Web page display:{ "name": "56IrTCM", "cluster_name": "Elasticsearch", "Cluster_uuid": "E4ja7vs2tiki1bsggeaa6q", " Version ": { " number ":" 5.2.2 ", " Build_hash ":" F9d9b74 ", " build_date ":" 2017-02-24t17
/elasticsearch/logging.yml/etc/init.d/ elasticsearch/etc/sysconfig/elasticsearch/usr/lib/sysctl.d/elasticsearch.conf/usr/lib/systemd/system/ Elasticsearch.service/usr/lib/tmpfiles.d/elasticsearch.confView Port Usage# netstat-nltpactive Internet connections (only servers) Proto recv-q send-q Local address Foreign address stateFirewalls open ports with 9200 and 9300 portsFirewall-cmd--permanent--add-port={
# Kibana is served by a back end server. This controls the which port to use.
server.port:5601
# The host to bind the server to.
Server.host: "0.0.0.0"
# The Elasticsearch instance to use for all your queries.
Elasticsearch.url: "http://192.168.0.58:9200"
Three, Tengine reverse proxy configuration
Cat/usr/local/nginx/conf/vhosts_all/kibana.conf
Server
{
Listen 8888;
server_name 192.168.0.58
Index index.html index.shtml;
Location/{
Proxy_pass ht
Filebeat is a lightweight, open source shipper for log file data. As the next-generation Logstash forwarder, filebeat tails logs and quickly sends this information to Logstash fo R further parsing and enrichment or to Elasticsearch for centralized storage and analysis.
Filebeat than Logstash seems better, is the next generation of log collectors, ELK (Elastic +logstash + Kibana) later estimated to be renamed EFK.
Filebeat How to use:
1, download the
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 abo
Protected]:\s+%{user:user}\[[^\]]+\]\[email protected]\s+ (?:(? "}} date {match= ["timestamp","dd/mmm/yyyy:h:m:s Z"] Remove_field="timestamp"}}output {elasticsearch {hosts= ["http://192.168.10.101:9200/"] Index="logstash-%{+yyyy. MM.DD}"Document_type="Mysql_logs" }}② display results after cutting4, Kibana final display effect① which database is the most, example: TOP2 libraryThe table cannot be displayed because some statements do not involve
Elk+filebeat+log4net Build Log Systemoutput { elasticsearch { hosts => ["localhost:9200"] } stdout { codec => rubydebug }}Elasticsearch ConfigurationBy default, no configuration is required to listen on port 9200. Run directlyKibana ConfigurationElasticsearch.url: "http://localhost:9200"The default connection ES
with ZK IP for connection useTOPIC_ID is the topic Logstash set in Kafka/etc/logstash/conf.d/logstashes.conf
Input {Kafka {Zk_connect => "10.0.0.13:2181"topic_id => "Logstash"}}Filter {Mutate {Split => ["Upstreamtime", ","]}Mutate {Convert => ["Upstreamtime", "float"]}}Output {Elasticsearch {Hosts => ["10.0.0.21"]Index => "logstash-iamle-%{+yyyy. MM.DD} "Document_type => "Iamle"Workers => 5Template_overwrite => True}}Supplementary notes
The above is the main configuration, on the poor Kibana
BackgroundWe want to unify the collection of logs, unified analysis, unified on a platform to search the filter log! In the previous article has completed the construction of elk, then how to set the log of each client to the Elk platform?"Introduction of this system"ELK--192.168.100.10 (this place needs to have FQDN to create an SSL certificate, you need to conf
log4j dependencies, version 1.2.17,pom.xml in the following code:
Create a new log4j.properties in the Resource directory and add the following configuration:
### Set ### Log4j.rootlogger = Debug,stdout,d,e,logstash ### output information to control lift ### log4j.appender.stdout = Org.apache.log4j.Console
Appender Log4j.appender.stdout.Target = System.out Log4j.appender.stdout.layout = org.apache.log4j.PatternLayout Log4j.appender.stdout.layout.ConversionPattern = [%-5p]%d{yyyy-mm-dd hh:mm:s
Master Machine Run Command:Mkdir-p/var/log/-P/var/log/-P/var/log/-v/tmp:/tmp-v/log :/log-v/var/log:/var5601:56019200:92009300 :93005044:5044:--name Elk Sebp/elkOnly the Lagstash is turned on in slave and the related log is directed to the primary elk server:Mkdir-p/var/log/-v/tmp:/tmp-v/log:/log-v/var/log:/var5601: 56019200:92009300:93005044:50445000 : elasticsearch_start=-e0 -e kibana_start=0 --name
://download.elasticsearch.org/...p/elasticsearch/2.0.0/elasticsearch-2.0.0.ziplogstash:https://download.elastic.co/logstash/logstash/logstash-2.0.0.zipkibana:https://download.elastic.co/ Kibana/kibana/kibana-4.2.0-windows.zip(2) Step two unzip the file: Create the folder "F:\elk", extract all the compressed package to this directory, easy to manage later.(3) Installation of required components, including Logstash, Kibana, ElasticsearchA) Install Elast
= $ PATH: $ JAVA_HOME/bin
Export CLASSPATH =.: $ JAVA_HOME/lib/dt. jat: $ JAVA_HOME/lib/tools. jar
Save and exit, and then make the variable take effect
Source/etc/profile
Next, decompress the package and rename it elasticsearch.
Tar-zxvf elasticsearch-5.6.4.tar.gz-C/usr/local/
Music elasticsearch-5.6.4/elasticsearch
Then go to the elasticsearch config file.
Modify the matching File
Vim elasticsearch. yml
Cluster. name: demo
Add the following configuration
Node. name:
there is the output of the log content, we know Logstash build success.Third, configuration ElasticsearchSince Elasticsearch and Logstash are installed on a single machine, the default configuration is Elasticsearch.-d#以deamon方式启动elasticsearchOpen 127.0.01:9200 See this content Elasticsearch build success{ "Status" : $, "name" :"Blaquesmith", "cluster_name" :"Elasticsearch", "version" :{"number": "1.7.1", "build_hash": "B88f43fc40b0bcd7f173a1f9ee
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/QueryMatc
All Elk installation package can go to the official website download, although the speed is slightly slow, but also acceptable, official website address: https://www.elastic.co/
Logstash
In the Logstash1.5.1 version, the pattern directory has changed, stored in the/logstash/vendor/bundle/jruby/1.9/gems/logstash-patterns-core-0.1.10/directory, But fortunately the configuration reference can be configured for the patterns directory, so I created a pat
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
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