Log data analysis

Log data analysis

logstash, ElasticSearch, Kibana configuration, forming the famous ELK technology stack, Logstash of



distributed log collection
Logstash is a tool for collecting logs, whether it is system log or application log, whether it is collected from a file or directly received tcp (or udp ) data flow, basically all common logs can be collected, such as: file, http, log4j, redis, syslog, tcp (udp), etc.; in
addition, logstash can also output in various forms, such as: elasticsearch (a A data retrieval tool), email, file, http, redis, tcp (udp), xmpp, etc.




ElasticSearch is a Lucene-based search server. It provides a distributed multi-user capable full-text search engine based on a RESTful web interface.



Kibana is an open source analytics and visualization platform designed for use with Elasticsearch. You can use kibana to search, view, and interact with data stored in Elasticsearch indexes. Kibana can easily display advanced data analysis and visualization using various charts, tables, maps, etc.
Kibana makes it easy to understand large amounts of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that show changes to Elasticsearch queries in real time.