Infographic: The real costs of ELK (Elastic Stack) Log Management
Elastic Stack (aka ELK Stack) appears on many companies’ log management short lists. But our ELK log management total cost of ownership (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.
You can see all of the cost drivers involved in managing ELK and running it for log management in the infographic below:
If you want a deep dive into all of the ELK characteristics that turn an initially low-cost commitment into something much bigger, check out our new ELK Total Cost of Ownership white paper.
The paper taps into our own experience with log management and with running one of the biggest and most complex Elasticsearch deployments supporting thousands of large- and medium-sized businesses across different industries. It covers some of the decisions that ELK users have to make as well as the money and effort expended on:
- Planning the architecture and deployment
- Procuring infrastructure or selecting a hosting vendor
- Customizing the system for production-grade log management
- Managing and maintaining the system
- Training users on how to use ELK
Read it. Digest the tradeoffs. Apply ELKonomics to your own business situation.
Reality check: Spinning up an ELK cluster using ELK’s default values works for testing, but it does not give you an easy to manage, production-ready system.
And remember: the beauty of a SaaS log management system like Loggly is that you can see the value you’re getting without investing a lot of time and money up front. After you’ve read the ELK TCO Report, it’d be a great time for a free 30-day trial of Loggly.
Learn More About ELK Log Management Considerations
DIY Elastic Stack: The 5 stages of grief
Elk Logging- To Elk or Not to ELk Elk
Alternative to Elk Logging
Elasticsearch Logstash Kibana -The real costs
Pranay Kamat Pranay Kamat is Senior Product Manager at Loggly. His previous experiences include designing user interfaces, APIs, and data migration tools for Oracle and Accela. He has an MBA from The University of Texas at Austin and Master's degree in Computer Science from Cornell University.