Logstash is a tool built on the filter/pipes designs for gathering, processing and generating the logs or events. It aids in unifying and making real time study of logs and events from different sources.
Logstash is inscribed on JRuby programming language that runs on the JVM, henceforth you can run Logstash on various platforms. It brings together dissimilar types of data like Logs, Packets, Events, Transactions, Timestamp Data, etc., from nearly every type of source. The data source can be Social data, E-commerce,Game data, Web trends, News articles, CRM, Financial data, Internet of Things, Mobile devices, etc.
The general features of Logstash are as follows −
The key ideas of Logstash are as follows −
It is the key object in Logstash, which summarizes the data flow in the Logstash pipeline. Logstash customs this object to store the input data and add extra fields formed throughout the filter stage.
Logstash proposals an Event API to designers to manipulate events. In this lesson, this event is mentioned with numerous names like Logging Data Event, Log Event, Log Data, Input Log Data, Output Log Data, etc.
It includes of data flow stages in Logstash from input to output. The input data is pass in the pipeline and is treated in the form of an event. Then sends to an output destination in the user or end system’s required format.
This is the primary stage in the Logstash pipeline, which is used to get the data in Logstash for further processing. Logstash proposals numerous plugins to get data from various platforms. Some of the most usually used plugins are – File, Syslog, Redis and Beats.
This is the mid stage of Logstash, where the real processing of proceedings take place. A developer can use pre-defined Regex Patterns by Logstash to make orders for distinguishing among the fields in the events and measures for known input events.
Logstash offers numerous plugins to aid the developer to parse and change the events into a required structure. Some of the most usually used filter plugins are – Grok, Mutate, Drop, Clone and Geoip.
This is the latter stage in the Logstash pipeline, where the output events can be arranged into the structure essential by the destination systems. Finally, it directs the output event after whole processing to the destination by using plugins. Some of the most usually used plugins are – Elasticsearch, File, Graphite, Statsd, etc.
The resulting points clarify the various advantages of Logstash.
In the following chapter, we will know what the ELK Stack is and how it supports Logstash.
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