Logstash Introduction - LogStash

What is Logstash Introduction?

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.

Logstash General Features

The general features of Logstash are as follows −

  • Logstash can gather data from various bases and send to numerous destinations.
  • Logstash can handle all kinds of logging data like Apache Logs, Windows Event Logs, Data over Network Protocols, Data from Normal Input and many more.
  • Logstash can also handle http needs and response data.
  • Logstash offers a variety of filters, which aids the user to find more meaning in the data by parsing and transforming it.
  • Logstash can also be used for handling sensors data in internet of things.
  • Logstash is open source and obtainable under the Apache license version 2.0.

Logstash Key Concepts

The key ideas of Logstash are as follows −

Event Object

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.

Pipeline

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.

Input

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.

Filter

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.

Output

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.

Logstash Advantages

The resulting points clarify the various advantages of Logstash.

  • Logstash offers regex pattern sequences to classify and parse the various fields in any input event.
  • Logstash ropes a variability of web servers and data sources for extracting logging data.
  • Logstash offers multiple plugins to parse and convert the logging data into any user required format.
  • Logstash is centralized, which types it easy to procedure and gather data from dissimilar servers.
  • Logstash ropes several databases, network protocols and other facilities as a destination source for the logging events.
  • Logstash uses the HTTP protocol, which permits the user to promote Elasticsearch versions without having to upgrade Logstash in a lock step.

Logstash Disadvantages

  • The resulting points clarify the various difficulties of Logstash.
  • Logstash uses http, which undesirably affects the dispensation of the logging data.
  • Working with Logstash can occasionally be a little composite, as it wants a good understanding and scrutiny of the input logging data.
  • Filter plugins are not common, so, the user may want to find the right sequence of patterns to evade error in parsing.

In the following chapter, we will know what the ELK Stack is and how it supports Logstash.

All rights reserved © 2018 Wisdom IT Services India Pvt. Ltd DMCA.com Protection Status

LogStash Topics