Open Source Summit + Embedded Linux Conference North America 2026

Learning to architect robust cloud infrastructure often comes with high barriers: expensive monthly cloud bills and a lack of access to senior mentorship. How can we train the next generation of SREs and Platform Engineers without financial gatekeeping? This session explores a novel pedagogical approach: combining the physicality of a Raspberry Pi "Micro-Data Center" with the instructional power of AI coding assistants.

We will demonstrate how to use low-cost edge hardware to make abstract concepts (clustering, database sharding, and network security) physically tangible. We will then show how to utilize LLM-based chatbots to act as real-time "Senior Architects," guiding learners through complex configuration and troubleshooting tasks that usually require years of experience to master.

Attendees will leave with:

- A blueprint for building a low-cost, enterprise-grade learning lab.

- Strategies for using AI agents to accelerate learning in Kubernetes, networking, and security.

- A method to simulate "Catastrophic Failure" (e.g., pulling a plug) to learn resilience safely.