Full Configuration Example
Combining all the sections, here’s a complete configuration file for processing Apache logs:
input {
file {
path => "/var/log/apache2/access.log"
start_position => "beginning"
}
}
filter {
grok {
match => { "message" => "%{COMMONAPACHELOG}" }
}
date {
match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z" ]
}
mutate {
remove_field => [ "message" ]
}
}
output {
elasticsearch {
hosts => ["http://localhost:9200"]
index => "apache-logs"
}
stdout {
codec => rubydebug
}
}
Running Logstash
To run Logstash with this configuration, save it to a file (e.g., logstash.conf) and execute the following command in your terminal:
bin/logstash -f logstash.conf
Logstash will start processing the Apache log file, applying the filters, and sending the data to Elasticsearch and the console.
Configuring Logstash Pipeline for Data Processing
Logstash, a key component of the Elastic Stack, is designed to collect, transform, and send data from multiple sources to various destinations. Configuring a Logstash pipeline is essential for effective data processing, ensuring that data flows smoothly from inputs to outputs while undergoing necessary transformations along the way.
This article will guide you through the process of configuring a Logstash pipeline, providing detailed examples and outputs to help you get started.
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