MELT

Assess

Techniques

An observability data category covering metrics, events, logs, and traces.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

7InfoQ·10/9/2026research
Netflix Builds Ontology-Driven Observability with Knowledge Graphs
Netflix describes an observability approach for handling 38 million events per second by replacing reactive monitoring with an AI-driven operational ontology. The system unifies MELT telemetry into queryable knowledge graphs to support automated triage, root-cause analysis, and self-healing workflows using Claude and graph databases.