As cloud-native environments scale in complexity, observability is no longer just about collecting logs, metrics, and traces—it’s about making sense of them. While modern observability stacks deliver a wealth of data, the real challenge is translating this information into actionable insights that everyone on the team can understand and use, from SREs and developers to business stakeholders.

This talk explores the next evolution: From Noise to Clarity. We’ll dive into practical strategies and open source tools (like OpenTelemetry, Prometheus, and emerging AI/LLM-powered solutions) that help demystify observability data. Attendees will learn how to:

Correlate signals across distributed systems for a unified view

Use AI and LLMs to generate human-friendly explanations of complex incidents

Build dashboards and alerts that surface root causes, not just symptoms

Empower teams to act quickly and confidently—regardless of their observability expertise

We’ll showcase real-world examples.