Apply Small Data to Big Data
summary
Argues that most big-data projects become expensive fluff and instead turn big data into small data by measuring fewer, targeted metrics. Describes a product that performs workload-based analysis on MySQL servers, automatically capturing related metrics, flagging stalls, and shortening time to diagnose and resolve performance faults. Recommends starting with sparse data and cheap tooling, avoiding premature scaling, and fixing the culture of overconsumption of telemetry through better questions and education.
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