logstash grok

" Auto_flush_interval = 60 } } File { Type = "Methodserver-log" Path = "/apphome/ptc/windchill_10.0/windchill/logs/methodserver-1604221021-32380.log" Start_position = Beginning Sincedb_path = "/opt/logstash-2.3.1/sincedb_path/methodserver_process" # Ignore_older = 604800 } } filter{ #执行ruby程序, the following example converts a date to a string to give Daytag Ruby { Code = "event[' daytag ') = Event.timestamp.time.localtime.strftime ('%y-%m-%d ')" } # i

collection of key value pairs specified in the format "field1" and "value1".Hash, key-value pairs, enclosed in quotation marks.Examplematch => { "field1""value1" "field2""value2" ...}PasswordA password is a string with a single value, which is not logged or printed.is similar to string and will not be output.Example:"password"NumberNumbers must is valid numeric values (floating point or integer).Example"password"PathA path is a string that represents a valid operating system path.is the syst

","%{mysqltype}"] Gsub= ["SQL","\n# Time: \d+\s+\d+:\d+:\d+","" ] } } if[Path] =~"Other-slave-slow"{grok {match= = {"message"="(? m) ^#\[email Protected]:\s+%{user:user}\[[^\]]+\]\[email protected]\s+ (?:(? "} Remove_field= ["message"]} mutate {replace= ["Host","%{host}"] Add_field= ["Nscode","%{nscode}"] Add_field= ["Envcode","%{envcode}"] Add_field= ["Mysqltype","%{mysqltype}"] Gsub= ["SQL","\n# Time: \d+\s+\d+:\d+:\d+","" ] }

Logstash analysis httpd_logLogstash analysis: httpd_loghttpd or nginx format Logstash supports two built-in formats: common and combined compatible with httpd. COMMONAPACHELOG %{IPORHOST:clientip} %{USER:ident} %{USER:auth} \[%{HTTPDATE:timestamp}\] "(?:%{WORD:verb} %{NOTSPACE:request}(?: HTTP/%{NUMBER:httpversion})?|%{DATA:rawrequest})" %{NUMBER:response} (?:%{NUMBER:bytes}|-)COMBINEDAPACHELOG %{COMMONAPAC

Recently in the use of Elkstack to the System log analysis, on the internet also saw the use of logstash cases, but found that can not be resolved properly, and then re-take the time to do regular calculations, the main code is as follows:input{file{type=> "Mysql-slow" path=> "/var/lib/mysql/slow.log" start_ position=>beginning sincedb_write_interval=>0codec=> multiline{pattern=> "^#[emailprotected]:" negate=>truewhat= > "Previous" }}}filter{if[messa

Centos7 Deploying Elk Log Collection SystemFirst, elk Overview:Elk is a short list of open source software, including Elasticsearch, Logstash, and Kibana. Elk has developed rapidly in recent years and has become the most popular centralized logging solution. Elasticsearch: Enables close real-time storage, search and analysis of large volumes of data. In this project, all the obtained logs are stored primarily through elasticsearch.

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)--

A single process Logstash can implement read, parse, and output processing of the data. But in a production environment, running the Logstash process from each application server and sending the data directly to Elasticsearch is not the first choice: first, excessive client connections are an additional pressure on Elasticsearch; second, network jitter can affect Logsta