2026-02-02, 16:00–16:25, B.Con
Operations and DevOps teams – both human and agent-based – struggle to keep a coherent view of their infrastructure. Infrastructure as Code repositories, configuration management tools, orchestrators and monitoring systems often drift apart from each other and from reality. Knowledge about “what is running where and why” is fragmented across people, services and tools, especially in fast-moving hybrid setups spanning on-premise and multiple clouds.
In this talk we present Foliage, an open-source project that helps to build a distributed, graph-based “digital twin of infrastructure”. The system aggregates facts from cloud and on-prem sources, enriches them with human and automated knowledge, and formalizes the relationships between them in a loosely-coupled set of models that continuously update themselves from events in your infrastructure.
Instead of a single monolithic model, we work with many small, loosely coupled graphs that can evolve independently, be owned by different teams and shared or reused across domains. These models can be sliced into task-specific views – from incident investigation and drift detection to change-impact analysis and migration planning. We will show real-world examples from production and a live demo of how such models look and behave.
The talk targets operations and DevOps engineers, SREs, platform and tooling architects who are interested in building flexible, extensible and transparent knowledge systems around the infrastructure they manage:
– collecting facts from cloud and on-prem sources;
– building distributed graph models on top of configuration and runtime data;
– creating domain- and task-specific “slices” of the model to support day-to-day operations and automation;
– sharing knowledge, practices, and policies via exchangeable fragments of the knowledge graph.
Former VisualFX and HPC specialist. Squeezed half a megawatt into a compute rack for CERN — and discovered that the real black hole is a system management.
Now founder at Foliage.dev, where I learn to build digital twins for messy, large, very real IT.
https://www.linkedin.com/in/plavrenko/