Observability 1.0 treats metrics, logs, and traces as three separate data types with separate pipelines, storage systems, and query tools. Observability 2.0 replaces those silos with a single wide structured event that carries all signal types in one record, stored in a columnar lake rather than proprietary time-series or log databases. The shift is both a data model change and an architectural one.