logstash plugins

SummaryWhen we use Logsatsh to write the configuration file, if we read too many files, the matching is too much, will make the configuration file hundreds of thousands of lines of code, may cause reading and modification difficulties. At this time, we can put the configuration file input, filter, output in a different configuration file, or even the input, filter, output again separated, put in a different file.At this time, the later need to delete and change the contents of the search, it is

1. Workflow of Log Platform650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M01/71/5F/wKioL1XNWHGwPB_ZAAErAE7qZjQ757.jpg "title=" 1.png " alt= "Wkiol1xnwhgwpb_zaaerae7qzjq757.jpg"/> shipper means log collection, using Logstash to collect log data from various sources, such as system logs, files, Redis, MQ, and so on; broker as a buffer between the remote agent and the central agent, using Redis implementation, one can imp

Logstash-forwarder (formerly known as Lumberjack) is a log sending end written in the Go language,Mainly for some of the machine performance is insufficient, have the performance OCD patient prepares.main functions :By configuring the trust relationship, the log of the monitored machine is encrypted and sent to Logstash,Reduce the performance of the collected log machine to consume, equivalent to the calcul

Type in logstash, logstash typeTypes in logstash Array Boolean Bytes Codec Hash Number Password Path String Array An array can be a single string value or multiple values. If you specify the same setting multiple times, it appends to the array.Example: path => [ "/var/log/messages", "/var/log/*.log" ]path => "/data/mysql/mysql.log"Boolean Boolean, true,

First, Logstash Logstash: It is a flexible data transmission and processing system that is responsible for the collection before the beats comes out. Logstash's task is to put all kinds of data, through the configuration of conversion rules, unified into the Elasticsearch. The Logstash developed with Ruby is a great flexibility. But performance has always been a

stages: input---process filter (not required)--outputs output Each phase is worked with a number of plugins, such as file, Elasticsearch, Redis, and so on. Each stage can also be specified in a variety of ways, such as output can be output to elasticsearch, or can be specified to stdout in the console printing. Thanks to this plug-in organization, Logstash becomes easy to scale and customize. Commands th

The Logstash pipeline can be configured with one or more input plug-ins, filter plug-ins, and output plug-ins. The input plug-in and the output plug-in are required, and the filter plug-in is optional. is a common usage scenario for Logstash.650) this.width=650; "src="/e/u261/themes/default/images/spacer.gif "style=" Background:url ("/e/u261/lang/zh-cn/ Images/localimage.png ") no-repeat center;border:1px s

/http.log" }}filter { grok { patterns_dir => ["/opt/logstash/patterns""/opt/logstash/extra_patterns"] "message""%{IP:client} %{WORD:method} %{URIPATHPARAM:request} %{NUMBER:bytes} %{NUMBER:duration}" } }}A regular match is called for the message field, and the syntax is%{syntax:semantic}The first syntax is the regular expression name, the second is the name of the field that matches successfully, a

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, Kib