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Is hardware going to be innovative and change? Brian Cantrell brings up oxide computing and some of their design motivation. Today we discuss our skepticism about some of his points, as well as the impacts for cloud distributed Compute hardware design mainframes, cloud, repatriation, and a whole bunch of topics about next generation thinking in Compute infrastructure management and applications. We are officially starting our cloud2030 book group and I hope you will join us - we are going to be reading Data Cartels by Sara Landon, followed by Investments Unlimited by John Willis and crew. Book Clubs Links: May 4 > Data Cartels https://www.amazon.com/Data-Cartels-Companies-Monopolize-Information/dp/1503633713 Early July > https://www.amazon.com/Investments-Unlimited-Compliance-Thriving-Digital/dp/1950508536 Transcript: https://otter.ai/u/S7CRv2J9fmOjAc8HM_TG9PM3eUw?utm_source=copy_url Image: https://www.pexels.com/photo/a-man-standing-on-gray-hot-air-balloon-9128460/

How does AI chat and generative AI have the potential to disrupt everything we know about social media? Today we talk Twitter versus mastodon. We spend most of our time talking about the power, influence and simple use cases for generative AI. Is this going to break Mastodon, Twitter and other forms of social media? We have a pretty compelling conversation about that, too. If you're a fan of Mastodon and Twitter, jump forward to about 30 minutes in when we really start getting down to that topic. Stay tuned for our agenda as a bonus extra in the back half of the podcast. Discussed Links: https://jounce.ai/ https://techcrunch.com/2023/02/28/jack-dorsey-backed-twitter-alternative-bluesky-hits-the-app-store-as-an-invite-only-app/ https://www.primal.com/about-us/ https://techcrunch.com/2023/03/01/addressing-criticism-openai-will-no-longer-use-customer-data-to-train-its-models-by-default/ Transcript: https://otter.ai/u/cVUTxHkYrJ_BhfZetm91mvxlstI?utm_source=copy_url Image: https://www.pexels.com/photo/bird-sitting-on-top-of-an-elephant-12118214/

What is generative AI and what are people now just generically calling ChatGPT? We put these things in a technical frame, meaning can we use generative AI to improve our programming, testing or automation? What does it take to use these concepts in ways that iteratively improve IT infrastructures. We review the state of chat, ChatGPT, AI infrastructure and things like that. Transcript: https://otter.ai/u/nFCSMPFyUVHO50I0jGP2HXCas7c?utm_source=copy_url Image: https://www.pexels.com/photo/woman-leaning-on-washing-machine-15625100/

Is platform engineering effective at hiding complexity from developers? Today we tear apart what platform engineering is doing, how it came about and what it's trying to be. We discuss what companies are trying to accomplish with platform engineering - how can successful efforts improve outcomes for development teams and operations teams by improving collaboration in contracts? Why and how is that important, and what do those efforts entail? Transcript: https://otter.ai/u/bVd1_IwEqFD-uEYxsyuffhNTeG4?utm_source=copy_url Image: https://www.pexels.com/photo/woman-posing-with-mirror-underwater-15674505/

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/

Metadata is information that travels with the raw data that provides context, provenance, security, authorship, controls, and indexing. The number of ways that you can expand the use of data is controlled by adding metadata. It creates a change in how we look at and manage data. Instead of creating control systems that contain the data, it’s actually packaged the control infrastructure, or the data control plane, as part of the data so that all of the systems can participate in it. We also talk about data mesh a lot in that context. Transcript: https://otter.ai/u/bho2SHu0N1YfECix6X8qNvKTlB4 Image: https://www.pexels.com/photo/pensive-ethnic-man-listening-to-answer-in-paper-cup-phone-3760607/

If you love data and data context formats for exchanging data, you will love this conversation. Today’s episode is a deep conversation about the potential ability to define ways in which we produce, store and share data, providing context using markup languages, and then being able to extend that. It’s a fascinating conversation about how much we could improve our use of data if we were able to provide more context about who wanted to see it and what relevance it had. We also have some interesting conversations about data migration and how we share information. Transcript: https://otter.ai/u/S9_tibMGhkoajG0bP8LaciJ32Ys Image: https://www.pexels.com/photo/a-grayscale-of-a-man-making-a-frame-with-his-hand-10839215/

Today we talk about backstage.io, and we have that conversation centered around a demo done by one of the RackN and interns, Zander Franks. Check out the demo video here: https://youtu.be/cAQQOmKz4OI Zander has been exploring with the backstage to Digital Rebar integration, and the conversation that results explains backstage in some fundamental ways and also what it takes to build good developer portals. You will find in this episode both the broader information about how to do integrations where you have a developer portal as a front end and the key insights about how backstage works. To get the most out of the backstage pieces, you will definitely want to see the video on Youtube. Take time to enjoy this whole podcast, both in video and audio format. Transcript: https://otter.ai/u/xWx-q_ZvK4oX1sDJS09F1BsaZZI Image:https://www.pexels.com/photo/wood-fashion-man-people-5650782/

We discussed the implications of chat GPT for it and the industry. In today’s episode, we spend a lot of time figuring out how data provenance governance, bias, and ownership will impact chat GPT in IT and technology and cloud contexts. This discussion really looks into how chat GPT can be used in disruptive ways, but also in protective ways as what we describe as guardrails for how these systems are going to get built. We come to some very interesting conclusions. Transcript: https://otter.ai/u/aETNeRoDnspFnmPT3KcjBuHQTzE Image: https://www.pexels.com/photo/surprised-young-woman-browsing-mobile-phone-3771127/

What is the architectural balance between learning curve, architecture, building things that can scale while acknowledging overhead, and the attitude of just get it done? Don't make my tools complex and let me be very productive quickly. If it doesn't scale, then we see this as an ongoing challenge. Two engineers from RackN led today’s discussion in which we really talked about the balance that we try to achieve at RackN as we design our product, with the understanding that, ultimately, scale really does matter. If users have trouble understanding how the product works, at first, that learning curve can push people away, so that they never actually get into the product. That’s where finding the right balance is absolutely essential to success. Transcript: https://otter.ai/u/DAfKcHVBAiOY5EuReW1krDYsqso Image: https://www.pexels.com/photo/anonymous-woman-showing-sketch-of-trendy-stylish-outfit-7148032/

We do a 2022 retrospective slash 2023 prediction episode - a sort of end of the year classic for us, except our predictions and look ahead are different from most people's. We're looking at some broader trends around software, build materials, impact of GPT (which will be a future episode), edge Technology, cloud adoption, security, faults and failures. Not your garden variety look back look ahead type of show. Transcript: https://otter.ai/u/IzKlo7CAljPkSzmyV5qLy5kLPj0 Image: https://www.pexels.com/photo/binocular-blue-sky-daylight-discovery-221538/