Turn Infrastructure Data into a Knowledge Graph to Unlock AIOps – OpsMill Triple-T
Sound AIOps for network and data center infrastructure must have reliable, accurate, and well-curated data. Yet, in too many infrastructure and network teams, so much focus is placed on cool automation and AI tools that teams lose track of an essential element: the quality and readiness of infrastructure data. Always-accurate Infrastructure and network intent data that makes it easy for humans, machines, and LLMs to understand how the network should behave, is key to success. This talk explores why a knowledge graph approach that integrates disparate data sources, models intent, exposes relationships across systems, and ensures trustworthiness through versioning and validation is the only way to unlock scalable, automated operations by providing the contextual foundation AIOps needs to reason, ensure reliable configurations, detect anomalies, and drive remediation.
Damien Garros is an architect, engineer, and leader with deep infrastructure automation, data management, and networking expertise. Over the last 15 years working at companies like Juniper, Apstra, Roblox, and Network to Code, he’s built a reputation for designing systems that make automation trustworthy by getting the data right first. Damien has architected and contributed to dozens of open-source projects that are now widely used across the industry. Known for his clear thinking and forward-looking vision, he’s also recognized for a leadership style rooted in candor and curiosity. Damien is the co-founder and CEO of OpsMill, creators of Infrahub, the infrastructure data management platform.
