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Advantages and Disadvantages of Using Splunk.

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Pankaj Nagla
Advantages and Disadvantages of Using Splunk.

According to an IT Central Station user, some remarkable qualities about Splunk are ‘its performance, scalability, and most significantly the innovative variety of collecting and presenting the information.’ On the opposite hand, the identical user writes that Splunk is complex when it involves fitting and adding new sources. Splunk online training is for Students, IT developers, and experts in IT infrastructure management who want to develop a strong understanding of basic Splunk concepts must read and study this tutorial. You can attain intermediate expertise in Splunk after completing this tutorial, and quickly draw on your skills to solve more difficult problems.


Here are some advantages of using Splunk: 


  • Splunk creates analytical reports with interactive charts, graphs, and tables, and shares them with others which is productive for users. 
  • Splunk is scalable and simple to implement. 
  • Splunk can automatically find useful information enclosed in your data, so you don’t must identify it yourself. 
  • It helps in saving your searches and tags which are recognized as important information in order that it can make your system smarter. 


Have a glance at a number of its disadvantages: 


  • It will be expensive for very large data volumes. 
  • Optimizing searches for speed is more of a philosophy than science, which suggests it can't be practically implemented. 
  • Dashboards are useful but not as reliable as Tableau. 
  • The IT sector is continuously attempting to exchange Splunk with new open-source options, which could be a challenge faced by Splunk.


  • Universal Forwarder (UF): It is a lightweight element that assists in pushing the data to the heavy Splunk forwarder. The principal task of this element is to just forward the log data from the server. You can easily install Universal Forward on the client-side or on the application side.
  • Load Balancer (LB): In computing terms, Load balancing enhances the distribution of workloads over multiple computing resources. A load balancer is an element that distributes the network or the application traffic over a cluster of servers.
  • Heavy Forwarder (HF): It is recognized to be a heavy element. This Splunk component enables you to filter the data. For instance, it will help in accumulating only the error logs.
  • Indexer: The chief task of an indexer is to store and index the filtered data. It helps in improving Splunk’s performance. By default, Splunk automatically implements the indexing like hosts, sources, date, and time.
  • Search Head (SH): It is simply a Splunk instance that helps in distributing the searches to the other indexers, and it normally doesn’t have any instance of its own.


For more details check out this Youtube link: https://youtu.be/ZDK2omJmxuY

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