Modern distributed systems generate more telemetry than ever before — yet outages are becoming harder to detect, diagnose, and prevent.

This talk explores why traditional observability approaches are failing in large-scale cloud environments, especially with microservices, Kubernetes, and multi-cloud architectures.

We will examine:

The gap between metrics and real system behavior
Why logs and traces miss cascading failures
Alert fatigue and the illusion of visibility
The impact of complex service dependencies

We introduce a practical approach to improving reliability:

Designing signal-driven observability instead of data-driven
Mapping service dependencies to failure patterns
Improving incident response with better context and correlation

This session is based on real-world experience managing production systems at scale and focuses on actionable improvements rather than tooling.