How can the intersection of generative AI machine learning and artificial intelligence be applied to environments using digital twins? Today we discuss digital twins and artificial intelligence. How can we improve the simulations, the systems, the interactions that we build? How can we correctly model complex components of everything from cars to pumps in ways that allow us to then build on top and build more intelligent systems. We come up with some grounded examples. Mentioned: https://projectarrow.ca/ Transcript: https://otter.ai/u/A79s08jpJ4-UPyT3132EfU-5DaY?utm_source=copy_url Image:https://www.pexels.com/photo/two-bernese-mountain-dogs-lying-on-floor-9040438/

Platform engineering is quite buzzy and has a lot of hype at the moment. Today we dug behind the hype to acknowledge how the term is being used and misused. We cover why this is a topic of interest, how it’s driving customer thinking around operations and development teams, how it's working to establish standard operating procedure around infrastructure and operations to support a business, and how those needs drive the evolution of our technology, infrastructure and design thinking. Transcript: https://otter.ai/u/GksMnMIZV0cyM6iwWj_sAd8yNhU?utm_source=copy_url Image:https://www.pexels.com/photo/person-in-black-vest-holding-fan-of-cards-6255293/

We break down the edge compute cluster by the Chick-fil-A team, and we talk about how they use Kubernetes, specifically K3s in 2500 of their restaurants to build an IoT and restaurant management system. This system uses Intel Knucks, a commodity commercial residential grade hardware. It’s an update on a four year old Kubernetes story with a lot of buzz, and they show how they have been successful building this system. If you're interested in Kubernetes, Edge DevOps and distributed systems, this episode has a lot to enjoy. Transcript: https://otter.ai/u/i0lBYq9PNQevn0AIvXNX9BpnpbM?utm_source=copy_url Image: https://www.pexels.com/photo/person-in-black-vest-holding-fan-of-cards-6255293/

How do we improve the time to decision for CIOs? Today we talk about general business practice and how we can help. Technical innovators and architects create value for the teams that they support. This can either be from an automation perspective, which is what RackN does, or from a data perspective, which Tyler describes in the podcast today. These are real challenges. When we flip the script and talk about the miscommunication between how CIOs see business challenges and translate business challenges into technical delivery, however, we get into a fascinating set of discussions where Joanne brings up some key challenges for 2023. We also discuss mapping those from CIOs into implementation, followed by ultimately trying to find ways that people can make fast, valuable decisions that feel right. This conversation is rooted in important conceptual executive level thinking. We’ll include the list of points that Joanne talks about below as well as in the show notes, and I highly recommend you check those out. Joanne Friedman’s Key Challenges for 2023 1. Tackle inflation and margin pressure 2. Migrate supply chain disruption 3. Make sustainability a pillar 4. Calibrate talent management strategy 5, Streamline procurement and sourcing 6. Strengthen digital thread 7. Prioritize innovation initiatives We try to name these key challenges, but in a lot of cases we are talking about the list or the graphic. You’ll need to refer to the show notes in order to see the complete one. Transcript: https://otter.ai/u/sFESW3yziGOolNbiyt1TlY_IA-M?utm_source=copy_url Image: https://www.pexels.com/photo/man-holding-clapper-board-1117132/

This episode is a one person retrospective on Cloud 2030. As well as what we want to be talking about and doing over the next year. I hope you'll take a second and listen to my reflection on what we've been talking about and where things are going. Think about what you want the show to be. This podcast is structured around the discussions we come up with together, as well as current events. We try to think deeply and in an unusual way here, and I hope you're getting a lot of that. Transcript: https://otter.ai/u/xg4Z6Q8pVYZHBPDCNUPII9Oql6Y?utm_source=copy_url Image:https://www.pexels.com/photo/a-man-takes-a-photo-reflection-of-a-vehicle-side-mirror-2887774/

Hazel walks us through the Hackyderm.io leaving the basement migration. We also talk much more generally about Mastodon fediverse and scaling distributed systems. This podcast is like a super class in what it takes to scale infrastructure and systems, especially live and under duress. Every minute of this conversation is worth listening to twice. Check out these resources as well: * https://hachyderm.io/@hazelweakly * https://opalstack.social/@d3cline/109638734488964593 * https://community.hachyderm.io/blog/2022/12/03/leaving-the-basement/ Transcript: https://otter.ai/u/FBIjekCBWcd8tlj1v-knMUxuuMc?utm_source=copy_url Image: https://www.pexels.com/photo/elephant-cub-kenya-savanna-66898/

Data comes from many different places, sources, and ways. Some data we call dark data, which is data not accessible to you, and all of it relevant. Today we talk about metadata as part of the governance control management exposure of data. An important layer beyond the data itself is the governance intent, how people access it, and how you combine data. We discuss exactly what that is, but still only touch the surface. References: https://yago-knowledge.org https://en.wikipedia.org/wiki/Ontology Transcript: https://otter.ai/u/rP_4gi-iDont0r2CaZlmGkYLRiY?utm_source=copy_url Image: https://www.pexels.com/photo/apples-and-leaves-on-books-14098062/

We get an update for the first time in four years about Chick-fil-A edge Kubernetes clusters that gets to the heart of how building distributed infrastructure works and what the challenges are. Article: https://medium.com/chick-fil-atech/enterprise-restaurant-compute-f5e2fd63d20f We had a fantastic conversation about laying the foundations for this. We came away with two really important thoughts about what edge infrastructure looks like, how you pick it, can Kubernetes be used, what is IoT and integration, and the design considerations that go into building this environment. Listen to this podcast as a preview for a longer article. Transcript: https://otter.ai/u/k3Y7S3Hoa0rPZZ8_L5vTn4SNwGI Image: https://www.pexels.com/photo/cows-on-field-on-hill-in-mountain-landscape-8899447/

Our mini episode today is a short discussion of API delineation and abstractions for platform engineering. This was a short intro discussion, and it is especially interesting because platform is a major topic we will be exploring in the coming year. We highlight the challenges of finding the right abstraction points as well as building front end and back end automation. Transcript: https://otter.ai/u/5gzoEliQ5H7N5LnGSP6sdOFNjv8 Image: https://www.pexels.com/photo/white-paper-rolls-on-white-table-7897470/

Today is a one on one discussion between me and Rocky Grover about infrastructure, infrastructure patterns, AI, and how all of these systems connect. We think deeply about what it takes to design great systems and cover a ton of ground to connect it all back together into systems design. Rocky has a lot of depth of experience here. Transcript: https://otter.ai/u/EYgaZUm5s36KYrUhDIwcXTkLHcA Image: https://www.pexels.com/photo/bird-blue-zoo-large-52549/