The one pipeline change that cuts costs AND improves visibility

Your SIEM and observability tools are expensive, and you're probably using them for things a data lake could handle for a fraction of the cost. Let's fix that.

— Fork your data with Cribl Stream – Keep sending data to your SIEM or observability tool, but also send a copy to a data lake at the same time. Nothing breaks, and your existing workflows keep working
— Plan your data lake before you build it – A data lake without a plan is just a swamp. We'll walk through the decisions you need to make upfront (like schema, partitions, and access) so you actually get value out of it
— Move the right workloads off your expensive tools – Not everything needs to live in your SIEM. We'll look at which queries, dashboards, and processes can pull from the lake instead, and what that saves you
— Start thinking about AI the right way – A well-organized data lake does more than store logs. We’ll talk about how it sets you up for future AI projects without turning this into a science experiment