Managing log data has never been more important or complex. With modern applications routinely generating terabytes of machine data per month, businesses urgently need an effective and affordable way to monitor and analyze log data at scale.
Many IT organizations use the Elasticsearch-Logstash-Kibana (ELK) stack tool set for this, thinking that because it’s open source, it’s simple and cost-effective. While it may be reasonably easy to download the ELK stack and stand up a simple deployment, the solution is not free.
As your data grows, so do your commitments and costs—often to surprisingly high levels, due to the complexity associated with its highly distributed architecture. This whitepaper offers a path to estimate the true cost of building and maintaining a do-it-yourself production ELK stack.
By understanding how these costs are generated and what the total cost of ownership (TCO) is, you can make informed decisions about whether to embark on—or grow—an ELK stack deployment. You’ll also be able to more accurately compare an ELK stack’s TCO with that of commercial solutions, and determine the wisest investment for your organization.
Sponsored by ChaosSearch
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