📡Module 19

Observability

Signals, Service Impact & AI-Assisted Operations

Knowing a system is up is not enough. How metrics, logs and traces show what an order did across every system it touched, and how that connects to service assurance.

Sections

19.1

Monitoring vs Observability

The distinction, the three signals, and the impact ladder from infrastructure to customer experience.

10 min

19.2

Tracing an Order End to End

One order across CRM, order management, integration, service management, provisioning and network — and the five questions an operator must be able to answer when it fails.

12 min

19.3

Signals, SLOs and Service Assurance

Distributed tracing, OpenTelemetry, SLIs and SLOs, event correlation, and where observability meets fault management and service impact.

14 min

19.4

AI-Assisted Operations and Transformation

Anomaly detection, correlation and incident summarisation as AI use-cases, and why observability has to be designed into a transformation rather than added after go-live.

12 min