Andreas Spanner
Andreas is leading the MSR vertical efforts as part of Red Hat's Field CTO organisation in Asia-Pacific.
A core focus is currently distributed computing and related architectures.
Andreas has worked on a wide range of topics across different industries in Europe, North America and APAC including full-scale automotive JIT/JIS production sytems, ERP migrations, HR, Finance and accounting and delivered supply chain logistics transformation programmes and scalable core banking strategies to support APAC wide business growth strategies.
Red Hat
Chief Architect
Sessions
Running Kubernetes workloads in disconnected, remote, or bandwidth-restricted environments is difficult—especially when cluster components and application images must be pulled before anything can start. MicroShift, a lightweight and upstream-friendly Kubernetes distribution, is ideal for edge deployments, but it still depends on pulling images from a registry on first boot.
This hands-on workshop demonstrates a community-driven approach using bootc embedded containers to build offline-ready Linux OS images. By embedding MicroShift and required application container images directly into the bootc build, systems can start up fully functional without any network access or registry pulls.
You will learn how to:
Understand how bootc enables immutable and reproducible Linux OS images
Embed MicroShift community edition containers and app images inside the OS during build time
Boot the system and run MicroShift instantly—no external registry required
Use preloaded images for real workloads on day one
Apply this workflow to any bootc-compatible Linux OS (Fedora, CentOS Stream,RHEL )
Design offline-first appliances for ships at sea, mines, rural deployments, air-gapped environments, and industrial edge systems
Maintain and update embedded-container images efficiently
Participants will walk away with clear, reproducible methods to build self-contained, offline-first MicroShift systems that can be deployed anywhere—from remote field devices to industrial edge nodes—using only upstream community tooling.
This session will go in-depth exploring challenges and approaches with regards to AIOps. Distributed environments entail everything from microservices running on the same server to physically distributed far edge compute. This session will cover different components such as anomaly detection, root-cause analysis (RCA) and remediation, possible maturity classifications and predictive as well as generative AI approaches. Finally, this project is an invitation to join and contribute to the Linux Foundation hosted AIOps project.