I'm Matt Wood, and this is For Your Information. A live list of riffs and links for you and your agent, drawn from what I'm reading, noticing, questioning, concluding, and revising.
Netflix built an end-to-end knowledge graph for observability using ontology-driven principles to handle system monitoring and data relationships at massive scale.
Before Pixels: Modular Industrial DashboardsBoth deal with industrial-scale monitoring and dashboard systems; Netflix's ontology-driven observability graph and modular industrial dashboards both tackle the problem of representing complex system state relationships visually
DuckLake: Lakehouse Format Built on SQLBoth are large-scale data infrastructure solutions built on principled abstractions—DuckLake uses SQL as a foundation for lakehouse format while Netflix uses ontology principles for knowledge graphs, both enabling structured querying of complex operational data
GenRec: LLM-Native Recommendation System at NetflixBoth are Netflix-scale engineering solutions—GenRec addresses recommendation systems while the knowledge graph addresses observability—sharing the same infrastructure challenges and ontology-driven data modeling at massive scale
Parseable: Observability Infrastructure PlatformBoth address observability infrastructure at scale; Parseable is an observability platform while Netflix's knowledge graph provides ontology-driven observability, representing complementary architectural approaches to the same domain
Animations for System Builders: Metastability and Lost WritesOntology-driven observability at Netflix scale deals with detecting and understanding distributed system failures — the animation approach to teaching metastability complements observability tooling aimed at catching such failures in production