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.

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In this episode, Ronald and Jan talk with Neil Cresswell, CEO, CTO, and co-founder of Portainer. Neil shares how Portainer started as a simple Docker UI and evolved into a platform for managing Docker, Podman, and Kubernetes environments at scale.

A key topic in this episode is Kube Solo, a lightweight Kubernetes distribution that can run on roughly 200 MB of RAM. The goal is to make Kubernetes usable in environments where traditional clusters are too heavy, such as IoT, edge, and far edge use cases. Think of AI-powered cameras, self-checkout systems, Nvidia Jetsons, and even tractors running intelligent workloads.

Neil explains that Kubernetes itself isn’t getting simpler, but it does need to become more intuitive. Portainer aims to make Kubernetes accessible to IT generalists, reducing the need for highly specialized teams while still leveraging the full power of the ecosystem.

This episode explores simplicity, scalability, edge computing, and what it takes to bring Kubernetes everywhere.

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ACC ICT Specialist in IT-CONTINUÏTEIT
Bedrijfskritische applicaties én data veilig beschikbaar, onafhankelijk van derden, altijd en overal

Support the show

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You can also find us on:
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In this episode, Ronald and Jan are joined by Nigel Douglas, Head of Developer Relations at Cloudsmith, to discuss the upcoming Kubernetes 1.36 release and the broader evolution of the Kubernetes ecosystem.

Nigel shares his journey from help desk and cybersecurity roles into open source, eventually working closely with Kubernetes through projects like Calico and Falco within the CNCF ecosystem.

The conversation centers around Kubernetes 1.36, which marks a shift from foundational features toward optimization and new use cases. A major theme in this release is the growing importance of AI workloads. Kubernetes is increasingly positioned as the orchestration platform for AI, with features like Dynamic Resource Allocation (DRA) enabling better management of GPUs and specialized hardware.

Security is another dominant theme. Many of the changes in this release focus on closing gaps and improving control, such as more fine-grained authorization, better admission control during node startup, and addressing previously existing vulnerabilities.

Additionally, the episode highlights several practical improvements, including better snapshot capabilities for stateful workloads, enhanced observability features like native histograms, and improvements in workload scheduling that take hardware topology into account.

The discussion also touches on a common challenge in the Kubernetes world: upgrading. Many organizations still run older versions due to the complexity of dependencies and ecosystem changes, making transitions non-trivial.

Looking ahead, Nigel emphasizes the need for more standardization within Kubernetes to make it easier for organizations to adapt when components change or become deprecated, reinforcing the importance of a stable and predictable ecosystem.

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ACC ICT Specialist in IT-CONTINUÏTEIT
Bedrijfskritische applicaties én data veilig beschikbaar, onafhankelijk van derden, altijd en overal

Support the show

Like and subscribe! It helps out a lot.

You can also find us on:
De Nederlandse Kubernetes Podcast - YouTube
Nederlandse Kubernetes Podcast (@k8spodcast.nl) | TikTok
De Nederlandse Kubernetes Podcast

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This Podcast is powered by:
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