So, What’s the Difference Between Observability and Monitoring?

Observability and monitoring, while utilizing the same data sources such as logs, metrics, and traces, serve distinct purposes; monitoring aims at providing notifications based on predefined questions through dashboards and alerts, whereas observability focuses on understanding and debugging the inner state of systems to affect change. Legacy tools often separate data into silos, but modern observability, or observability 2.0, emphasizes making data context-rich before it enters the backend, which allows for more effective debugging and understanding. This approach contrasts with monitoring 2.0, which often incorporates AI and auto-instrumentation to enhance alert generation, yet does not address the deeper understanding and debugging needed for system reliability. By using a single source of truth and correlating data sources, observability 2.0 offers a comprehensive view of the system state, with technologies like OpenTelemetry helping to provide necessary context to signal data, enhancing the ability to ask new questions and maintain system reliability.