This is our annual year review and prediction episode and it is a doozy. We talk through what has been an incredibly busy year in Open Source, cloud repre, repatriation, AI, ML, chatGPT.
We laid down some really interesting insights and then looked forward not just into 2024 but two years of predictions and trends that we see happening. We cover what we think will be shaking, shaping and shaking the market.
The Red Hat changes in how they publish the source code for CentOS sent a stream specifically, but unlike all the other conversations that I’ve heard, we dive into how enterprises can inoculate themselves from this type of disruptive change. We also address what it means for the ecosystem of vendors and how we can build better software in response to the potential fragmentation of Red Hat, Linux Enterprise Linux or Enterprise Linux distros.
This was a surprising conversation, because we addressed a lot of important trends in how companies depend on Linux stability, and what they could do. If you are in this boat with all of us looking at how to have stable long term secure infrastructure using Linux, you will love this podcast.
To explore HCI at the edge, we started with SUSE’s Harvester. It’s an HCI integration of Kubernetes, KubeVirt, and Longhorn (their storage system) plus some PXE booting magic they threw in there. From there we explored how Kubernetes can fit into Edge HCI.
That really morphed into Edge operations more generally. It’s not clear if hyperconverged infrastructure can or can’t fit. We covered items like AWS Outpost which is Amazon’s edge. We included items for the cloud to edge migration from an application development perspective.
There are a lot of fascinating ops and development topics throughout the conversation.
Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 Podcast, provides insights from the January 4th discussion on hyper-converged infrastructure (HCI) for the edge. The conversation explores the operational desire for clean and simple architectures with modular building blocks for easy implementation. However, it challenges the notion that platforms like Kubernetes can create a straightforward, self-building architectural solution for edge clusters, emphasizing the associated cost considerations. Hirschfeld suggests exploring the full episode at the2030.cloud for a comprehensive discussion on the complexities and potential solutions in the realm of hyper-converged infrastructure for the edge.
