create a configuration file named logstash-apache.conf with the following content (you can modify your file name and path as needed ):
input { file { path => "/tmp/access_log" start_position => beginning }}filter { if [path] =~ "access" { mutate { replace => { "type" => "apache_access" } } grok { match => { "message" => "%{COMBINEDAPACHELOG}" } } } date { match => [ "timestamp"
Windows system:1, installation Logstash1.1 access to the official website Download Zip package[1] https://artifacts.elastic.co/downloads/logstash/logstash-6.3.2.zip 6.3.2 versionif you want to download the latest or other version, you can go to the official website and select the download page[2] https://www.elastic.co/products/logstash
generated. This field is added back to the data in the processing log, for example ... This value is the timestamp of the Logstash processing event.A practical exampleApache log (get from file)Now, let's use some very useful configuration ... apache2 access log! We will read the log files locally and handle the event that satisfies our needs through the conditional settings. First, we create a file name that is the
client servers we want to collect logs, and we will collectively refer to the client server. Prerequisites
The amount of cpu,ram and storage your Elk server will need depends on the volume of logs that you want to collect. In this tutorial, we will use a VPS with the following specifications for our Elk server: Os:centos 7 RAM:4GB Cpu:2
Note: install Java 8 According to your own server resources to allocate resources for each node
Elasticsearch and Logstash
operationSeems to be here ... It seems to be finished ... Reader friends do not scold me, because Logstash is so simple, all the code integration, the programmer does not need to care about how it works.Logstash most noteworthy is that in the Filter plugin section has a relatively complete function, such as Grok, through regular parsing and structure of any text, Grok is currently the best way to parse unstructured log data into a structured and quer
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
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,
It's hard to find logstash Chinese material on the internet, Ruby didn't know it, it was too difficult to read official documents, and my requirements are not high, using Loggstash can extract the desired fields.The following is purely understandable:Logstash Configuration Format#官方文档: http://www.logstash.net/docs/1.4.2/input {... #读取数据, Logstash has provided very many plugins, such as the ability to read d
communication monitoring and data collection, you can collect a lot of conventional ways to collect information.
4) Winlogbeat: Data acquisition specifically for Windows event log.
5) Heartbeat: Inter-system connectivity detection, such as ICMP, TCP, HTTP and other system connectivity monitoring.
6) You can generate your own beats through the beats generator
1. Filebeats
Filebeat is built on beats, and is used in the implementation of the log collection scenario to
In addition, you can also look at the official documents to choose their own appropriate use;
Filter Plugin Introduction
1.grok
Parsing and constructing arbitrary text,Grok is currently the best way to parse unstructured log data into structured and queryable data in Logstash , using the built-in 120 modes;
You can also read this article, do you really understand grok?
2.mutate
Perform general conversions on event fields, and you can rename, delete,
The concept and characteristics of 1.logstash.Concept: Logstash is a tool for data acquisition, processing, and transmission (output).Characteristics:-Centralized processing of all types of data-Normalization of data in different patterns and formats-Rapid expansion of custom log formats-Easily add plugins for custom data sources2.logstash installation configuration.①. Download and install[Email protected]
1.8.7 or more)# yum Install-y Ruby RubyGemsTo check the ruby version:# ruby-vRuby 1.8.7 (2013-06-27 patchlevel 374) [X86_64-linux]Replace mirrors in the countryGem Sources--remove http://rubygems.org/Gem Sources-a http://gems.ruby-china.org/Verify successGem Sources-lModify the Gemfile data source addressWhereis Logstash # Check the location of the Logstash inst
Centos6.5 Installing the Logstash ELK stack Log Management system
Overview:
Logs primarily include system logs, application logs, and security logs. System operations and developers can use the log to understand the server hardware and software information, check the configuration process errors and the cause of the error occurred. Frequently analyze logs to understand the load of the server, performance security, so as to take timely measures to
The system transportation and the development personnel can through the log to understand the server hardware and software information, examines the configuration process the error and the error occurrence reason. Regular analysis of the log can understand the server load, performance security, so as to take timely measures to correct errors. The role of the log is self-evident, but for a large number of logs distributed across multiple machines, viewing is particularly troublesome. Therefore, t
Logstash + Kibana log system deployment configuration
Logstash is a tool for receiving, processing, and forwarding logs. Supports system logs, webserver logs, error logs, and application logs. In short, it includes all types of logs that can be flushed.
Typical use cases (ELK ):
Elasticsearch is used as the storage of background data, and kibana is used for front-end report presentation.
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 configure fqdn,www.elk.com)The client that is collecting logs (also called Logstash shipper)--
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