Adaptive Telemetry is a feature within Grafana Cloud designed to enhance the efficiency of observability data management by reducing costs, noise, and mean time to recovery (MTTR) while preserving valuable telemetry. It addresses the issues arising from the traditional "collect everything" approach, which often leads to data overload, increased costs, and difficulty in identifying critical signals. By automating the classification and prioritization of signals through tools such as Adaptive Metrics and Adaptive Logs, Adaptive Telemetry helps organizations focus on actionable data, reducing unnecessary storage and processing expenses. It offers flexibility, allowing users to apply exemptions for critical data while continuously learning and adapting to changing usage patterns. Real-world applications, such as those by TeleTracking, SailPoint, and Dell Technologies, demonstrate how Adaptive Telemetry can lead to significant cost reductions and improved team productivity. The feature is set to expand to include traces and profiles, ensuring that every piece of telemetry data stored is valuable, reflecting Grafana Cloud's mission to optimize data observability.