Glossary · Observability
What Is Observability?
Written by
Shiv Chandra Pathak
Published
May 2026
Reading time
5 min read
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.
Observability versus monitoring
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'.
The role of the three signals
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.
How it fits Opstral
Opstral builds on observability rather than replacing it: Telemetry Ops provides the correlated signal, and Sentinel AI adds autonomous, governed investigation and action on top, so observability leads to resolution, not just insight.
Frequently asked questions
What are the three pillars of observability?
Metrics, logs and traces, the three telemetry signals whose correlation makes a system observable.
Is observability just monitoring with a new name?
No. Monitoring tracks known conditions; observability is the ability to investigate unknown ones from the telemetry you collect.