Observability
Definition
Observability derives the system state from measurable signals.
The ability to sufficiently infer the internal state of a system from its outputs and telemetry data.
Simply explained
How displays and logs of a machine help understand measurement data about what is currently happening in the system.
Why it matters in practice
Helps develop and operate digital systems robustly, securely, and maintainably.
Example from business
A team traces a slow request through frontend, API, queue, and database.
Limits and pitfalls
- Understanding observability as merely a dashboard or a collection of as many logs as possible.
Origin & history
The term originates from control engineering and was transferred in software operations to logs, metrics, and traces.
Use in mid-sized companies
- Possible example: A team tracks a slow request through frontend, API, queue, and database.
Frequently asked questions
What does observability mean?
The ability to sufficiently infer the internal state of a system from its outputs and telemetry data.
Which mistakes should be avoided?
Understanding observability as merely a dashboard or a collection of as many logs as possible.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: