Key Concepts

Overview

The key concepts relevant to Log AI are as follows.

Workload Identification

Log patterns are scoped to specific workloads, which could be a Kubernetes Deployment, a Vercel Project, or a Service. For example, a pattern mined from an ad service is distinct from a pattern mined from a product catalog service — they each have their own set of patterns. Dash0 automatically identifies and groups workloads so that patterns remain relevant and accurate within their context.

Severity Inference vs. Pattern Mining

These are two separate capabilities that run independently:

• Severity inference runs on incoming logs that lack a severity field and classifies them based on the log body content.
• Pattern mining analyzes log messages to extract patterns and name dynamic segments as structured attributes.

Together, they make up the complete Log AI story — but each can provide value on its own.