The Observability Paradox: Why "Send Less Data" Is a Dangerous Trap for the AI Era
Executive Overview In the modern enterprise technology stack, a familiar and increasingly stressful narrative dominates engineering boardrooms. As distributed systems scale, microservices multiply, and cloud environments expand, telemetry volumes—logs, metrics, and traces—inevitably skyrocket. With this exponential data growth comes a painful spike in operational expenditure. Faced with ballooning observability bills, the default recommendation from platform…
