Observability is not just dashboards; it is being able to ask questions you did not plan for and get answers from the data you already collect.
Observability is the ability to understand a system's internal state from the telemetry it emits, to the point where you can answer new questions about its behaviour, including ones you did not anticipate, without shipping new code.
Monitoring watches for known failure modes on predefined dashboards and alerts. Observability is broader: it is the property of a system that lets you explore its behaviour and diagnose novel problems from its telemetry. Monitoring answers 'is the thing I expected to break broken'; observability answers 'why is this unexpected thing happening'.
Metrics tell you something is wrong and how much, traces tell you where in the request path, and logs tell you exactly what happened. Observability comes from correlating all three, plus the ability to slice by high-cardinality context, so you can move from symptom to cause without guessing.
Ops Singularity builds on observability rather than replacing it: TelemetryOps provides the correlated signal, and Sentinel AI adds autonomous, governed investigation and action on top, so observability leads to resolution, not just insight.
Metrics, logs and traces, the three telemetry signals whose correlation makes a system observable.
No. Monitoring tracks known conditions; observability is the ability to investigate unknown ones from the telemetry you collect.
Ops Singularity turns open telemetry into autonomous, governed resolution. See it on your own stack.