cloud2030

We discussed the intersection of serverless and digital twinning. These two concepts are really tightly intermingled! We discarded the idea of a central single serverless hub managing everything; instead, we think sites would actually have a mesh of serverless, interconnected event processing and stream processing systems. This approach is much more function dependent, but really opens up a lot of interesting discussions and possibilities. We also discussed how to manage all of this meshed, serverless subscription modeling eventing, and digital twinning. Transcript: https://otter.ai/u/FWW3CwG6gMX0N06QXp9C-pZd-s8 Image: https://www.pexels.com/photo/two-young-girls-together-in-one-gray-hoodie-sweater-9532902/

We have a lot of questions about improving collaboration in organizations: How do we deal with change in organizations How can we get organizations to work together better? How do we encourage collaboration around the automation spaces that we're trying to build in DevOps. In our discussion, a lot came back to something as simple as version control! We also discuss how we handle coupling between systems. In order to collaborate, we have to couple systems. But if we couple them, we create complexity. This podcast includes our warm up conversation about Microsoft acquiring Activision because that is ALSO about how you integrate to organizations and business plans! This was news of the day and I think you'll be very interested in our take on it. Transcript: https://otter.ai/u/itNrmoL9MgG980D8CZdo9XWd-xI Image: https://www.pexels.com/photo/a-woman-playing-colored-powders-with-kids-7176471/

We started talking about blockchain and the edge, but that is not where it ended up at all! Our fascinating journey started with web3, and surprisingly, it’s potential for distributed infrastructure and distributed web. That led us to edge: managing and trusting devices on the edge through distributed ledger (DLT). That led us to the distributed ledger landscape. The journey is important because some of these technologies will be essential for establishing trust in systems. In this conversation, we walk through the progression of these very important topics. See also: https://dltlandscape.org/

What is a “green datacenter?” Can we make the IT infrastructure we use more environmentally sound? Maybe, but… it's a challenging problem because fundamentally running servers uses power. We went into how data centers use power with an eye to making them more efficient. But that’s only part of the story. We discussed ways to incent people to give up resources, CPU cycles, and idle servers. Those are the items that really help with savings. Ultimately, building a next generation infrastructure is more about the behaviors of the users as the efficiency of the equipment. In that case, what's holding us back? Transcript: https://otter.ai/u/RbDO1zLmb3JbEcmm6bsw6pihvQE Photo: https://www.pexels.com/photo/three-brown-cardboard-box-figures-on-brown-surface-799465/

Today's episode is about how to trust machine learning in operations. This is a really serious issue because the attraction of machine learning is strong, but does not translate into operations. Why doesn’t it translate? Because operations is a closed loop process where we constantly get feedback and have to adapt and adjust. That makes it difficult to train models and hope that they work. This discussion gets into why that's the case and what we can do about it. Then we explore scenarios for machine learning and AI in operations. Transcript: https://otter.ai/u/UBjf5IVnKvebTfQgW1xlneZdjOU Photo: https://www.pexels.com/photo/high-angle-photo-of-robot-2599244/

This episode explores applications for the edge. We really try to dig in on what will work in the edge from an application perspective. We also explore what's holding us back. Every time we have a conversation about Edge, we help undangle the components of Edge. In this discussion, we get more concise about what type of infrastructure is needed to build real edge applications. We also define where edge applications are expected to work and where they don't. Transcript: https://otter.ai/u/7uwv5Z3aupwE5ZGBXBEUqw9zkbE Photo: https://www.pexels.com/photo/red-and-black-robot-statue-185725/

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. Transcript: https://otter.ai/u/Y2OH7SuJhPp4VRQSBAJk31-0_eI Photo: https://www.pexels.com/photo/crop-person-packing-jeans-into-carton-container-4498143/

Dependency chains are complex and fragile when you're depending on software, hardware cloud services that go away or change. In this conversation, we really examine the challenge of having dynamic vendor relationships and what we can do to fix and protect our environments. It's really hard to fix what can be vulnerable when it also changes your software supply chain at any moment! And that can impact any device in your infrastructure!! We work through that problem means in practical terms. Transcript: https://otter.ai/u/mwpwVINGYfkQ5F5IERXgsM2oHsA Photo: https://www.pexels.com/photo/focused-kid-rotating-colorful-pyramid-puzzle-5063480/

We reflected on 2021 and our four key panelists talked through what's coming for 2022. Instead of making broad predictions, we focused on the needs of the market. We felt there were many immediate needs around cloud outages and security challenges. Of course, we also discuss how the edge is coming up along with more physical integrations like for automotive, healthcare, and energy creation and storage. All are very big topics that are local presence related computing. Transcript: https://otter.ai/u/7IEszyeZEDGENz3JSzw_-4hmyVc Photo: https://www.pexels.com/photo/barefoot-boy-in-astrologer-costume-looking-through-spyglass-7139730/

This episode was a fun and interesting ride from boring standards to locking APIs via NFTs! We started talking about “civilization technology” where standards and regulations are applied to infrastructure. We are expecting this to happen in cloud (eventually) because it allows us to create ecosystems around the infrastructure. The historical patterns that we see in railroads, buildings and electricity will emerge in IT too. Or maybe they won’t! We haven't yet seen standards emerging in cloud or open source. And we had some really significant conversations around the interactions between these systems that would drive or resist standardization. Transcript: https://otter.ai/u/-hhn6VEjtIQDl3UAHaCPUxCUaXo Photo: https://www.pexels.com/photo/slatted-wood-pathway-between-trees-1423827/