ELKonomics: The real cost of operating and scaling Elastic Stack
Software-driven businesses have numerous choices when it comes to log management. Elastic Stack has emerged as the leading open source solution. Many companies are successfully using it for large log management deployments, and it’s evolving quickly.
However, open source is not always the least expensive option for a software business. Straight out of GitHub, Elastic Stack is not a production-grade log management system. You as the user must expend time, money, and effort on:
- Planning your deployment (both one-time and ongoing decisions)
- Procuring infrastructure or selecting a hosting vendor
- Customizing Elastic Stack for log management
- Operating Elastic Stack on an ongoing basis and supporting users
- Maintaining and upgrading the system
This white paper explains all of the cost drivers involved in running Elastic Stack for log management and presents a total cost of ownership (TCO) framework you can use to analyze the trade-offs for yourself.
Our detailed TCO analysis shows that a business with average daily log volumes growing from 100 GB to 800 GB over a four-year period will likely spend close to $4.2 million to operate and maintain a production-grade Elastic Stack.