High-Volume Log Processing Experiments
These experiments demonstrate how high-volume logs can remain raw and compressed while operational signals are derived through structured, aggregation-first processing.
Operators do not consume logs. They consume rates, counts, trends, and pressure points derived from logs.
Raw data stays raw. Databases store only derived facts.