Modern applications generate colossal quantities of machine data. Skillful analysis has the potential to yield perceptive and actionable intelligence from all of this raw machine data. In response, open source solutions such as the ELK stack (also known as the Elastic Stack) have become very popular. Unfortunately, numerous enterprises are belatedly recognizing that placing the “free” Elastic Stack into production comes with abundant concealed costs and challenges.
This paper highlights the hidden costs for Elastic Stack deployments and provides contrast with the advantages of selecting a best-of-breed SaaS machine data analytics solution such as Sumo Logic.