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
Monitoring vs Observability
The distinction, the three signals, and the impact ladder from infrastructure to customer experience.
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.
Signals, SLOs and Service Assurance
Distributed tracing, OpenTelemetry, SLIs and SLOs, event correlation, and where observability meets fault management and service impact.
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.