The Elastic Stack can be a good option for teams that are just beginning their log management journey. However, as businesses scale, they often realize that the Elastic Stack’s “free” price tag comes with many hidden costs. Let’s take a look
As log management becomes a crucial piece of the software development lifecycle, DevOps teams need fast and cost effective ways to scale their efforts to manage log data at scale. One option for teams is to build their own solution from scratch, more commonly known as the Elastic Stack.
This white paper explores the costs associated with building, scaling and maintaining the Elastic Stack. Our total cost of ownership analysis provides insight into key budgetary considerations, and compares them with commercial solutions, like LogDNA.
Choosing a log management solution is crucial in allowing developers to deliver products faster. It also has big implications on an organization’s bottom line. This infographic demonstrates the expected costs to build, scale, and maintain the Elastic Stack over a three year period. This total cost of ownership analysis assumes a midsize Elastic Stack deployment on AWS, and accounts for moderate growth year-over-year.
LogDNA’s intuitive features and easy onboarding allow teams to get up and running in minutes so that you can get value from your logs on day one. Get a glimpse of the product in this video and empower your developers with the tools they need to deliver great applications.