Aflevering 134: Kubernetes at the Edge: Hype, Reality and Trade-offs

Jan Stomphorst
Ronald Kers
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Aflevering 134: Kubernetes at the Edge: Hype, Reality and Trade-offs
May 12, 2026
60
 MIN

Aflevering 134: Kubernetes at the Edge: Hype, Reality and Trade-offs

Carl shares how edge computing has matured. What used to require explaining the concept itself has now shifted toward real-world adoption, with use cases across retail, manufacturing, telecom and beyond.

Samenvatting

In episode 134, Ronald and Jan reconnect with Carl Moberg from Avassa, live from KubeCon Amsterdam, nearly two years after their first spontaneous conversation about edge computing.

Since that first meeting, the edge landscape has evolved rapidly. What was once a niche topic has now become a serious focus area for industries ranging from retail and manufacturing to telecom and AI-driven infrastructure.

Carl shares how organizations are increasingly moving workloads closer to where data is created, whether that is inside factories, retail stores, industrial environments or remote edge locations. The discussion explores the differences between IoT, edge and far edge computing, and why these environments introduce unique operational and security challenges.

A major theme throughout the episode is the role of Kubernetes at the edge. While Kubernetes remains a powerful platform, Carl explains why it is not always the most practical solution for highly distributed or resource-constrained environments. The real challenge is often not starting containers, but everything around them: observability, secrets management, lifecycle management, networking, upgrades and reliability at scale.

The conversation also connects naturally to the previous episode with Neil Cresswell from Portainer. Both episodes explore the same core question from different perspectives:

How do you reliably run modern applications across thousands of edge locations?

An in-depth discussion about containers, operational complexity, AI at the edge, industrial automation and the future of distributed application platforms.