Advanced Configurations
Logstash allows for more complex configurations, such as using conditionals and multiple pipelines.
Using Conditionals
Conditionals can be used within filters and outputs to process data differently based on certain conditions. For example:
filter {
if [status] == 404 {
mutate {
add_tag => [ "not_found" ]
}
} else {
mutate {
add_tag => [ "other_status" ]
}
}
}
This configuration adds a tag to the log entry based on the HTTP status code.
Multiple Pipelines
Logstash supports multiple pipelines, which can be configured in a pipelines.yml file. This allows you to run multiple data processing pipelines in parallel. Here’s an example of a pipelines.yml configuration:
- pipeline.id: apache
path.config: "/etc/logstash/conf.d/apache.conf"
- pipeline.id: syslog
path.config: "/etc/logstash/conf.d/syslog.conf"
In this example, two pipelines are defined: one for Apache logs and one for system logs, each with its own configuration file.
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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