The Cost Crisis in Observability Tooling
Read OriginalThis article critiques the high and often inefficient costs of traditional 'Observability 1.0' tooling, which typically involves separate systems for logs, metrics, traces, APM, and RUM. It argues that this fragmented approach creates a cost multiplier effect, where companies pay to store the same telemetry data multiple times, leading to bills that increase faster than the value derived. The piece begins to break down the core data types (metrics, structured/unstructured logs) and their trade-offs.
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