AI-First Observability
AI-First Observability Use Cases
Autonomous Detection
Agentic AI layers automatically discover baselines, detect anomalies, uncover patterns, and boil up the most relevant signals.
Root Cause Analysis
Plain-English incident summaries, root cause explanations, and a timeline of what changed — across infrastructure, app, and Kubernetes layers.
Exploration Assist
Enable human validation and verification of conclusions with rich context and supporting evidence. Assist and direct incident triage and classification.
