We dive into AI, manufacturing and how to improve manufacturing outcomes by better analyzing data. If you are interested in manufacturing or advanced applications of AI and digital twins - which is where we create accurate representations of physical items - this episode will hit all of your favorite topics!Transcript: https://otter.ai/u/xNB0GZQXB4…

We explore the UEFI certificate issue in which secure boot is potentially compromised. Certificates that are included in most UEFI BIOSes have been compromised in ways that could easily be used as an attack vector, a very significant flaw and something that should be on your purview and radar to fix and patch. We're going to talk about what the iss…

We discuss the impact AI and data sovereignty data protection will have on platforms, consolidated management of your data like in Office by Microsoft or Google, on premises, and systems. This includes a whole bunch of data that you will want to use to train AI models to improve your day to day operations, but you probably don't want a lot of vendo…

This episode is one of our book club episodes starring John Walpole, who wrote the Two But Rule, which is very tongue in cheek while also very serious about momentum thinking and using a negative bouncy discussion pattern. I like to think of it as a bouncy discussion pattern to really explore ideas and drive ideation in a positive way by asking and…

This episode explores the intersection of infrastructure automation and security through the lens of the Crowd Strike outage. We'll discuss the tension between maintaining stable, reliable data center infrastructure and the need to embrace change and innovation.Recent events like the CrowdStrike outage demonstrate the paradox that infrastructure te…

We start talking about walled gardens and the momentum and push that causes us to get into vendor active environments in this episode. This is going to be a multi-part discussion where we look at the drivers of AI in the future. In this case, we used up a lot of time before this recording talking about Kubernetes and what's next for Kubernetes and …

Power, electrical power, and how the upcoming trend of AI data centers is intersecting as a load with generation, storage, transportation, Bitcoin mining and mining all use power. These are all highly interconnected in how we use and manage the grid, but are using power in different ways.Transcript: https://otter.ai/u/mszdgZE5_TG_H6lywY6S8-RqPsw?ut…

Analog computing is the idea of non-digital computing. Not quanta, but non-digital, basically using analog circuits, either electrical circuits or potentially even mechanical or fluid circuits, to perform calculations and control systems. These are surprisingly common, especially in older devices, but less common in current and modern devices. But …

We revisit where we are with Crypto - more specifically where we are with distributed ledger technology or DLT. We give pertinent and real examples of places where the core technology behind Crypto is thriving and making a big difference, as well as has regained its value. We discuss the human impacts of that and what went wrong.Transcript: https:/…

Martez Reed and I have an in depth conversation about the challenges of propagating technology inside of enterprises, this core challenge of selling silos and individual technologies. What Martez describes as beneficial tool sprawl versus building up systems and integrating things and end to end technology. This is what I've been calling infrastruc…

We dive into Shoshana Zuboff’s book The Age of Surveillance Capitalism. Full of amazing insights, predictions and really insightful work, you can literally scan every page and read something fascinating. You don't need the book to follow today’s discussion. We start by watching Apple's new iPad ad before we dive into the book, and I highly recommen…

How do you define infrastructure to support inferencing? Today we discuss that and more, including training. We walk through what it's going to take to understand what to buy, what to build, how to build, how to put it together, and how hard it is to actually know what goes into the infrastructure behind an AI cluster. Importantly, exploring why we…

We continue our TechOps series, this case diving deep and cheap into out of band management. One of the things about out of band management is that it quickly turns into an alphabet soup of protocol names, vendor names, specific pieces and even the way we talk about out of band management. We have different acronyms for the same action. In this con…

System D is our topic for today discussing system processes, how do you manage and control processes, services, and fundamental components of Linux operating systems. In this discussion, we cover how to think about it, how it works, alternatives, process controls, and even how they get applied to containers. Containers were a nice bridge from our p…

Edge technology versus OT was the focus of discussion today, and in this conversation we cover infrastructure information technology versus operations technology, and the ongoing dilemma of edge sites specifically. This includes factories, retail locations, data center technology and 10th standard cloud with operational tech. Operational tech being…

In the wake of the Baltimore Key Bridge collapse, we discuss how we can improve resilience in the systems that we manage.By the2030.cloud Podcast

DHCP PXE is our subject today. We cover UEFI BIOS and all of the things necessary to do network installs of servers. This incidentally includes thin clients, PCs and other network switches. Specifically, we talked about the process of having secure and robust network provisioning. We go through all the pieces that you need to know how the processes…

This episode really highlights the danger of contributor burnout and overload. But it also shows that we're not very good as an industry at sustaining work.Today we dissect what the XZ SSH intrusion attack is, how it happened, what the social engineering was, and the pressure that involved to make that happen.Transcript: https://otter.ai/u/kRqADDwa…

We explore the synergy of humanoid robots and LLM AI. This episode delves into how robots can learn and interpret their environment in human-like ways, based on a key video listed below. Whether or not you view the video, the discussion offers deep insights into AI's evolving role in human interaction.Transcript: https://otter.ai/u/VqiTSDMDLAKcaF1X…

We delve into spatial computing today and discuss Apple's Vision Pro face computer. Everyone in the club2030 group is very interested in augmented reality and virtual reality, and the release of thApple Vision Pro, seems to meet many thresholds that make us surprisingly optimistic about its potential. We discuss aspects we like as well as what we t…

The compliance death curve is something I’ve been working on as an evolving concept that tries to explain how companies fight compliance governance and standardization efforts, something that is critical to platform team and infrastructure operations. Today we try to decompose some of the mathematics that I've been using into more universal, more e…

TechOps series episode 3 covers how to automate against API's. We discuss exactly the ways in which you can use API's effectively, and ways you can run into trouble. We also discuss how we should be consuming API's, both as a consumer but also in times when we have produced API's. Many ideas discussed were pulled from learning how people consume ou…

Our quarterly book club meeting we picked Never Split the Difference by Chris Voss. This book is about negotiation, which we found fascinating because we are all entrepreneurial in some way and handle sales. Next quarter, we'll talk about a related book that we brought up, which is The Two Butt Rule.https://otter.ai/u/g1zFW444R5NseB8rsVe4StMYWEU?ut…

How can we understand agility and adaptability? In this discussion, we get very concrete about the differences between agility and adaptability and why that's important for you as you go on your own innovation journey. This includes looking for places where standards can be applied and accelerate your team, where it's too early, and learning iterat…

We dive into data operations in today’s episode! We cover the idea that with all of the work we're doing in AI and ML data analytics analysis, you actually have to steward your data. We also cover processes controls, like what we have with DevOps in infrastructure, but with similar types of concepts (governance controls automation) around how your …

We dive into the chaos created by Broadcom’s acquisition of VMware. In this episode, we discuss what Broadcom is doing, why it's a problem, how enterprises are reacting, and what alternatives are on the market. We cover the whole mess in all its glory, and even provide some love for Broadcom.Resources:https://www.thestack.technology/vmware-is-killi…

Join us as we embark on a comprehensive journey to master intermediate and advanced skills crucial for operators, DevOps, and platform engineers. From scripting and service setup to running complex systems, we address the critical gap in training for building, automating, and maintaining resilient and robust systems. Over the coming months, the Clo…

Departing from our typical podcast format, today’s episode is part of a presentation that I've been preparing about comparing 125 year old house building architecture to modern DevOps. We also analyze as things that work and don't work. There are a lot of home maintenance stories and comparison notes. Particularly in the back half of the episode we…

After a brief hiatus, thecloud2030 group is back and deep in tech, talking about things that we think are going to come on the tech front, sans AI. In this episode, we take some time to go through Kubernetes, hardware, software, bill of materials, and some governance. This includes a smattering of predictions to get your year started off with a ban…

How can companies, enterprises and individuals become more innovative? We investigate the idea of innovation and disruption and continue past where we were with the three horizons model in our previous discussions. Today’s podcast focuses on breaking this apart into adapting an agile disruption, the use of standardization and the cognitive dissonan…

Let's celebrate the work that we've done as a community in the Cloud2030 group this year, and talk about some really exciting things we have planned for next year for 2024. It's remarkable to look back on how this podcast has evolved from a meeting place during COVID, as a place where we could have those hallway tracks that we had been missing, int…

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 wh…

How do we apply the principles of lean to data science and data engineering? We discuss this broadly into using AI and machine learning more generally. This is a topic that we had discussed over the summer and wanted to come back to six months later because so much has changed and transformed in the industry. What does agile lean process control lo…

If you haven’t had a chance to join in on our book groups, I strongly recommend you take a look at the upcoming books we are reading! Today we discussed Data Science and Context, which is a relatively academic book by a series of doctors, PhDs, Specter, Norvig, Wiggins and Wing. The book gets into some really fascinating analysis techniques, addres…

How can digital identity be used to build better trust and systems in our daily transactions? There are really significant challenges and consequences to having a national guaranteed identity - a single identity provider. Knowing who you're interacting with, in every form, in every situation is not as simple as you might think. There's a lot of ana…

What incidental, or accidental, surveillance state is being created by all of the video and listening devices that are now embedded in our world? Today we talk through the ramifications of those networks being in private hands in which companies can actually review, analyze and monetize data from these systems. For example - autonomous vehicle came…

What is innovation? Today we continue this discussion, specifically drilling into the three horizons model for creating growth and value. We spend a lot of time talking about how companies innovate using that model, what it means and what are examples of it? How does that spark take place? We bridge you further down the innovation learning process …

We dive deep into the technical subject of governance and policy enforcement, including the tools, techniques and processes that you need to be aware of to do a good job with policy and governance enforcement. We cover how to get started, what to think about, what to be aware of, and chip away at your governance and policy challenges including deve…

We dive into the dynamics of open source projects and monetization today, specifically starting around the TerraForm and open tofu split. That topic is one that we love to chew over and potentially over analyze, but today’s discussion is different. We go into how ecosystems are built both in open and proprietary and cloud systems, and look at sort …

We discuss innovation, a favorite topic of ours, today. Instead of diving in for a structured conversation, we dove at the bait that was offered by Marc Andreessen in his techno optimist manifesto. If you haven't read it, I would suggest taking a moment to read it before you listen to the rest of the podcast, but you do not have to! It is definitel…

What does it take to implement governance and compliance, because they are process controls much more than individual technologies. Today we discuss that a lot of the talks seem to be about governance and compliance, and we have a fascinating discussion about governance compliance and Kubernetes. The idea that Kubernetes is maturing, losing the dra…

How do we limit and regulate LLMs and AI? We approach this at multiple angles and look through what it's like to regulate this type of technology. If you're interested in the limits of any technology, and specifically how AI gets regulated, and where we're likely to impose legislative barriers or restrictions on this, then this will be a fascinatin…

What goes on behind the scenes with AI, and specifically data center infrastructure and hardware? We discuss broad ranging concerns, opportunities and market blockers around AI. We also address how deeply it can impact innovation companies' privacy legislation from the frame of hardware and automation. Today’s discussion leads us to a larger questi…

If you follow cloud2030 discussions or any of my podcasting over the last decade, Edge is a very interesting topic to me. Today’s episode is a short update on the state of the edge from a very specific position. In this discussion, I walk through with Josh why edge has been hard for us to nail down from a technology perspective. This is something o…

The TerraForm fork, now known as the OpenTofu project, is our first topic in today’s episode. We discuss what's going on with that, the challenges, as well as the potential pressures from HashiCorp that created this whole situation.How do we get experts to recover their authority and how do we look at organizations like that? We have about 20 minut…

What are the potentials for biasing LLM models? We dive into biases both in good ways and in bad ways. Is the expertise that we're feeding into these models is not sufficient to actually drive the outcomes that we're looking for? We're going to be eliminating humans out of the loop in a relatively short period of time. Both outcomes, at the moment,…

We continue our book group series today about the Death of Expertise by Tom Nichols, which is very dense with a lot of provocative and thought provoking comments, topics and ideas. It was so interesting that we decided we needed two sessions to fully unpack this. This is part one, which is about how expertise as a society is handled, how social med…

Can large language models effectively supplant developers and DevOps engineers? Today we go deeper into how the models can be trained, if they can be trusted, and what is the upside or positive use case in which we really turn LLMs into the type of weighing person experts that they have the potential to be versus simply something that turns up the …

We recap the Google Next event and do a deep dive into the interesting topics Google was announcing at their flagship cloud event. We looked at what they were doing for AI, but also some new services offerings around what's going on with Cloud. Then we pulled back and went into generative DevOps, something we're going to be diving into more and mor…

What’s going on from VMWare to Broadcom to HashiCorp and their license changes. We discuss current topics, even to the sad news about Kris Nova passing during a mountaineering expedition. If you'd like to catch up on the tech news, then this topic hopefully has aged well and you will enjoy it!Transcript: https://otter.ai/u/J18ecRKKwc8As_TLyChs_IdI_…