Observability platforms often require highly skilled practitioners to make sense and use of those platforms. Ideally, a non-technical stakeholder would rely on monitoring, understanding problems or optimizations to make and then rely on the platform to do the rest of the work. For debugging, an AI-guided problem solver detects, updates and fixes the issue, and articulates the situation in such a way that the non-technical user can understand it.
It’s up to observability providers to offer seamless metrics that can be used to solve business…








