Logstash is a powerful tool for centralizing and analyzing logs, which can help to provide and overview of your environment, and to identify issues with your servers. One way to increase the effectiveness of your ELK Stack (Elasticsearch, Logstash, and Kibana) setup is to collect important application logs and structure the log data by employing filters, so the data can be readily analyzed and query-able. We will build our filters around “grok” patterns, that will parse the data in the logs into useful bits of information.
This guide is a sequel to the How To Install Elasticsearch, Logstash, and Kibana 4 on Ubuntu 14.04 tutorial, and focuses primarily on adding Logstash filters for various common application logs. 继续阅读
In this tutorial, we will go over the installation of the Elasticsearch ELK Stack on Ubuntu 14.04—that is, Elasticsearch 2.2.x, Logstash 2.2.x, and Kibana 4.4.x. We will also show you how to configure it to gather and visualize the syslogs of your systems in a centralized location, using Filebeat 1.1.x. Logstash is an open source tool for collecting, parsing, and storing logs for future use. Kibana is a web interface that can be used to search and view the logs that Logstash has indexed. Both of these tools are based on Elasticsearch, which is used for storing logs.
Centralized logging can be very useful when attempting to identify problems with your servers or applications, as it allows you to search through all of your logs in a single place. It is also useful because it allows you to identify issues that span multiple servers by correlating their logs during a specific time frame.
It is possible to use Logstash to gather logs of all types, but we will limit the scope of this tutorial to syslog gathering. 继续阅读