Elk Log Analysis System
Logstash+elasticsearch+kibana4
- Logstash tools for managing logs and events
- ElasticSearch Search
- KIBANA4 Powerful data Display client
- Redis Cache
Install package
- logstash-1.4.2-1_2c0f5a1.noarch.rpm
- elasticsearch-1.4.4.noarch.rpm
- logstash-contrib-1.4.2-1_efd53ef.noarch.rpm
- Kibana-4.0.1-linux-x64.tar.gz
Installing the JDK
OPENJDK or Oracle's JDK is available.
Here with OpenJDK.
install java-1.7.0-openjdk
Installing Redis
yum install redis/etc/init.d/redis start查看redis中的键值redis-cli‘*‘
Installation Test Elasticsearch
RPM-IVH elasticsearch-1.4. 4. noarch.rpm Confirm9200Port monitoring has a normal return value: Curl-x GET http://localhost:9200[Root@iZ28ywqw7nhz ~]# curl-x GET http://localhost:9200{"Status": $,"Name":"Damballah","Cluster_Name":"Elasticsearch","Version": {"Number":"1.4.4","Build_hash":"c88f77ffc81301dfa9dfd81ca2232f09588bd512","Build_timestamp":"2015-02-19t13:05:36z","Build_snapshot":false,"Lucene_version":"4.10.3"},"tagline":"Know, for Search"}
Installing Logstash
rpm -ivh logstash-1.4.2-1_2c0f5a1.noarch.rpm
Logstash Configuration
The simplest is to accept an input and then put it in the output:
-e‘input { stdin { } } output { stdout {} }‘helo2015-03-19T09:09:38.161+0000 iZ28ywqw7nhZ helo
Similar to the following:
-e‘input { stdin { } } output { stdout { codec => rubydebug } }‘
But the above two does not have much practical significance, we can insert the data into the Elasticsearch and then display it with Kibana.
- First, make sure that Elasticsearch starts, 9200 listens.
- Then insert the data:
/opt/logstash/bin/logstash -e‘input { stdin { } } output { elasticsearch { host => localhost } }‘
You can then use Kibana to view
or access
Curl ' Http://localhost:9200/_search?pretty ' to view data
Download Kibana, run
Kibana is a Java package.
-xf kibana-4.0.1-linux-x64.tar.> kibana.log&
Inside the configuration index patterns, with the default on the line.
Postscript
Basically elk are connected with the official website is the same, for example, Elasticsearch is generally from the logstash above the data. Kibana defaults to fetching data from the Elasticsearch. The three of them are very well combined.
More features are being explored. Elk very powerful Data collection query analysis open source solution.
Http://logstash.net/docs/1.4.2/tutorials/getting-started-with-logstash
Http://www.cnblogs.com/buzzlight/p/logstash_elasticsearch_kibana_log.html
Logstash Best Practices
Upgrade Required Your version of Elasticsearch is too old. Kibana requires Elasticsearch 0.90.9 or above.
Init:tty (/DEV/TTY4) main process killed by KILL signal
List all Indexs
Curl ' localhost:9200/_cat/indices?v '
Delete
Curl-xdelete ' Localhost:9200/customer?pretty '
Curl ' localhost:9200/_cat/indices?v '
Http://www.elastic.co/guide/en/elasticsearch/reference/1.x/_index_and_query_a_document.html
Elk Log Analysis System Logstash+elasticsearch+kibana4