Modern applications require observability to understand their operations, yet achieving it traditionally demands extensive engineering effort. Observability must be an inherent component of development frameworks, minimizing the need for additional engineering work. Key telemetry features include logs, traces, and metrics, where logs capture individual events, traces illustrate application execution flows, and metrics measure specific events. Techniques such as structured logging, request IDs, and tracing improve observability by providing structured data and correlating events. The DBOS Transact and DBOS Cloud systems are designed to enable observability by default, automating observability tasks with OpenTelemetry integration and offering a comprehensive observability backend. This automation facilitates the collection and export of telemetry data, simplifying complex queries and enhancing the visibility of application behavior. By leveraging standards like OpenTelemetry and providing infrastructure for automatic instrumentation and data export, DBOS aims to make applications inherently observable without manual intervention from developers.