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Overview of Splunk and its uses

What is Splunk? – An overview

Splunk is a type of search processing language or SPL software program or tool for sifting through vast amounts of data and performing statistical operations on what is relevant in a specific context. Splunk is like Google for log files that stores all the log files and provides very fast search capabilities like those that Google does for the internet.

The origins or history of splunk originated from the problems with log files especially when the need to search through logs came up leading to the production of software product named Splunk by three technocrats named Michael Baum, Rob Das and Erik Swan. They then co-founded Splunk Inc in 2003 with venture firms August Capital and JK&B Capital providing the required funding. Splunk emerged as product software for searching, monitoring, and analyzing the machine generated big data through a web style interface.

Splunk is a transactional engine dashboard akin to Google for IT machine data. The Splunk as software product captures indexes and correlates the available data in a data bank from which it can generate graphs, reports, alerts, dashboards and visualizations. The corporate office of Splunk is located in San Francisco with regional offices located across Europe, Middle East, Africa and Asia. Splunk as of now has emerged as a consumer of any sort of machine data from logs to twitter feeds to network traffic.

Uses of Splunk-

The launch of splunk has resulted in a massive appeal and has revolutionized the handling of machine data. Splunk users can do sentiment analysis on Twitter; analyze logs without the need for taking the help of Data Base Administrators or DBAs or Hadoop
experts. However, even some of the Splunk users or customers use both Hadoop and Splunk by using Splunk to collect data for Hadoop to process. Splunk is not only about database that requires the user to define tables and fields before he or she can store data but Splunk accepts anything immediately after installation that does not require a fixed schema. It performs field extraction at search time itself with many big formats being recognized automatically.

Splunk application or apps may data inputs but they can also contain dashboards that visualize what Splunk has indexed. Splunk has greater flexibility akin to Google that crawls any webpage without knowing anything about the website layout, Splunk can indeed any kind or type of machine data that can be represented as text. The other advantages of Splunk includes-

  • Superfast installation – The installing Splunk is quite easy and fast and can be installed in number of platforms with the installation time taking less than five minutes in case of Windows platform.
  • Ease of scalability – The user can add any number of servers if a single Splunk server is not enough. The incoming data is automatically distributed evenly and searches are directed to all Splunk servers that help increasing the speed for machines holding the data.
  • Versatility of Splunk– Splunk can import any data from any devices with any formats with the user just needs to execute or browse the pre stored search scenario and the result coming out within a few seconds. The authorized user executing the report just needs some basic understanding of the key fields.

These advantages of Splunk rate it as the best software product. Learn the most fundamental skills of Splunk from TekClasses and kick start your career. Happy Learning!!!

June 15, 2017

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