Unified observability: Why storing OpenTelemetry signals in one place matters

Observability has traditionally been understood through the "three pillars" of logs, metrics, and traces, but this perspective can result in siloed data that limits comprehensive analysis. A more effective approach is to unify these telemetry signals, creating a "braid" that provides richer context and insights into system behavior. The document argues for a shift from "swivel chair" observability, where data is scattered across multiple backends, to "unified observability," where all telemetry data is stored and analyzed in a single platform. Using the Dynatrace observability and security platform as an analytics backend exemplifies this unified approach by storing various signals in a centralized data lakehouse, enabling more efficient data correlation and analysis. This integration not only enhances the ability to diagnose and address issues but also allows for better organizational collaboration and innovation. By adopting unified observability, teams can streamline their workflows, improve data analysis, and respond more effectively to challenges, ultimately leading to better outcomes.