Presentation: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale

Prasanna Vijayanathan: My name is Prasanna Vijayanathan. I'm part of the observability team at Netflix. I work on observability, performance, and quality of experience across all our member applications. What that means is from the point you click on the Netflix logo until you start watching something, how does your experience feel on Netflix is what I look into. What metrics should we look at? What tools should we have? What insights should we provide to our users to make sure that we understand what you all like? If you do like watching Netflix, you're welcome. If you don't, you can blame it on my colleague, Renzo. Renzo Sanchez-Silva: I'm Renzo Sanchez-Silva. I've been at Netflix for almost 10 years now with the monitoring and alerting team within observability, building several alerting infrastructure, and now getting into AIOps space. I've done also some research back in the day in ontology. With AI, everything is converging. Observability at Scale - Why is it Hard? Prasanna Vijayanathan: Today we're going to talk to you about a problem that we've been tackling, which at the surface feels like an observability challenge, but it's really a hard data engineering problem. Before I get into…