Having flawless dashboards does not guarantee that systems are functioning perfectly. Observability debt can obscure critical issues beneath the surface metrics, leading to distorted perceptions and weakening engineers' decision-making.
In the complex environment of backend systems designed to remain stable and efficient under extreme load, observability debt represents hidden gaps in monitoring that complicate accurate system assessment.
The author is a Product Leader and AI strategist specializing in developing next-generation artificial intelligence and Agentic AI technologies.
Perfect dashboards don’t mean perfect systems.
Observability debt hides behind metrics, distorts truth, and weakens engineering judgment.
Author's summary: Observability debt undermines system reliability by hiding faults behind seemingly perfect dashboards, challenging engineers to maintain trust in their monitoring tools.