Episodes

TechOps Scaling Challenges

In this episode, we talk about scale and the hard realities of system failure in large tech operations. We explore why rare failures become common at scale, and what it takes to build systems that can handle that pressure. From predictive diagnostics to component redundancy, we share practical insights on keeping high-performance and AI infrastructure…

by sagehirschfeld

The Opportunity for OpenShift Infrastructure

Today we tackle the generational infrastructure shift that’s keeping IT leaders awake at night: OpenShift virtualization adoption. We dig deep into why organizations are struggling to migrate from traditional VM-focused infrastructure to Kubernetes-managed infrastructure. We explore the real hurdles blocking this transition and unpack the strategic positioning that matters when you’re moving to container-orchestrated infrastructure.…

by sagehirschfeld

Secondary Markets for Infrastructure

In this episode we dive into the practice of recapturing gear from data centers and how it can be used in the secondary market and the ramifications for that market. What started off as a tangent ended up as a rabbit hole rewarding conversation! Transcript: otter.ai/u/QR43ePMfKLNrxH1bZo…?utm_source=copy_url

by sagehirschfeld

OpenShift Install

Today we dive deep into the mystery of Kubernetes installation, specifically OpenShift installation. We help explain why Kubernetes installs look so weird compared to traditional operations, install processes, and where are the playbooks? Where are the scripts? Are the runbooks describing all the steps you need to take? All of it seems to be missing,…

by sagehirschfeld

AI Export Controls Work?

We discuss whether or not AI export controls work, but we take a really interesting twist because what we talk about is manufacturing. What we talk about is innovation, and it’s not whether or not you can control AI chips, but what does it actually take to build innovative product? That’s where we really have…

by sagehirschfeld

Using AI for Complex IT Problems

In this episode, we talk about how to use AI and agentic AI specifically to rethink log collection and analysis, and find and solve really difficult problems generally. There’s a bit of a build up and understanding how we got there will help you appreciate the conversation. Resources:www.usenix.org/conference/srecon…presentation/cruz Transcript: otter.ai/u/P-p1tfjPhD4lbX8cy6…?utm_source=copy_url

by sagehirschfeld

AI Slop Ate My College Degree!

Today we riff on vibe coding, and we talk about the human and economic impacts. Can this agentic coding paradigm the use of AI and how will it impact people just starting their careers or building real applications? What is the trajectory for AI, generated systems and code and what is the risk of AI…

by sagehirschfeld

Lab Toys vs Enterprise Products

DevOps Lunch and Learn focuses on home labbing versus enterprise use cases and why it is so tricky to satisfy the home user with enterprise products. This really is a dilemma because we love to see more crossover and we’re going to talk about why. Transcript: otter.ai/u/CgO1zVnY5wDFgRNb7X…?utm_source=copy_url

by sagehirschfeld

Container Driven Architecture

In this episode, we continue our dive into the changing architecture of IT infrastructure and look at how containers and container platforms are changing. We also look at the fundamental nature of what people want to buy, accelerated by VMware Broadcom, making virtualization platforms much less attractive, and the shifting landscape here. This is work…

by sagehirschfeld

HA Troubleshooting [Tech Ops]

This episode of the TechOps series goes into high availability troubleshooting. Not just high availability, not just troubleshooting, but actually talking through what it takes to manage and maintain and fix HA systems. This is part of a longer discussion we’ve been having and so there’s some really interesting ideas in the middle of these…

by sagehirschfeld

Is 2025 even harder than we expected?

We review 2025 predictions today and dig into why I think this year is going to be both boring and terrifying for a lot of enterprise IT leaders. That, of course, spans Amazon, Reinvent storage, VMware, AI, and Agentic AI – we run the gamut on what is coming and why this is actually going…

by sagehirschfeld

The Many Bits of Quantum State

In this episode, we dive into all things quantum computing, starting from the idea that Microsoft managed to put a new quantum silicon chip together. We go all over quantum from compute to entanglement and everything in between. Transcript: otter.ai/u/Tt282iKZEkt5nL3C3z…?utm_source=copy_urlReferences:naumanahmad86.medium.com/is-the-mac-m…0b6c6a2d9a18news.microsoft.com/source/features…ntum-computing/arxiv.org/abs/2502.19118

by sagehirschfeld

Kubernetes on Prem vs Cloud

We step back in this episode of our Tech Ops series and talk about cloud self managed infrastructure and how you balance the competing concerns. We started from a report that RackN had commissioned talking about on premises Kubernetes, and mixing that into your IT infrastructure. Can you have a cloud broker? Can you do…

by sagehirschfeld

DeepThink AI and Kubernetes

We springboard from DeepThinking AI and have a robust conversation about what impact DeepThink is having on the industry. We also discuss where we see things going into the dilemma of people building AI infrastructure and working to do that quickly, robustly and with strong governance. This is necessary to ensure that they can quickly…

by sagehirschfeld

Writing Great Test Scripts [TechOps]

We deep dive into something seemingly very small, but with a lot of repercussions for how you manage and run a data center, and that is test scripts for servers. As you’re going through a production cycle or a provisioning cycle, how do you test? What do you test? This topic was from a Reddit…

by sagehirschfeld

High Availability Technology in DRP [TechOps]

Today we dive into RackN high availability technology and what we did to build consensus based raft HA capabilities directly into Digital Rebar. This is one of those episodes where we are talking specifically and only about Digital Rebar, so it is a vendored conversation from that perspective. If you are building HA systems, or…

by sagehirschfeld

KubeVirt in the Enterprise

This is one of those fun conversations where we’re really diving not just into the tech but the enterprise consumption of the tech and how people are thinking about it. How does technology like Kubernetes evolve and get used in ways that the community is not thinking about and find a whole new path for…

by sagehirschfeld

Why is adding LLM into an App so hard?

We talk about current events, the acquisition of data stacks and the closing of the HashiCorp acquisition by IBM. Later, we dive into the productivity of AI and what’s going on – are companies really getting the benefits that they expect from AI chat bot integrations and what the challenges are? We touch base on…

by sagehirschfeld

Gitops and Immutability [TechOps Series]

The cloud2030 Tech Ops series is an ongoing discussion for us to create what I think of as 200 level content for tech and operations leaders, exploring really complex, deep topics in a thoughtful way to really extend your knowledge base and capabilities in the data center and infrastructure space. Today’s episode talks about gitops…

by sagehirschfeld

Virtualization in Containers (KubeVirt, OpenShift Virtualization)

In this episode, we dive deeper into the new architectural trends for infrastructure designers in this coming decade, which is a transition from virtualization platforms first like VMware into containerized platforms first. But this time, we talk through the use of virtualization in containerized systems – keeping VMs but with what changes are necessary to…

by sagehirschfeld

Symbolic AI

We discuss Symbolic AI via LLMs for advanced reasoning in manufacturing and real-time analytics. Key points included leveraging symbolic representations and algebraic equations, utilizing knowledge graphs to improve model accuracy, and exploring agentic AI frameworks with specialized agents working together using swarm intelligence principles to tackle complex problems like anomaly detection and process optimization. The…

by sagehirschfeld

Software Defined Edge

We revisit edge infrastructure and the motivations behind building and managing edge infrastructure with an unusual take. In this case, we ask ourselves if all of these edge devices are becoming more software defined or becoming more standardized, off the shelf component tree. And will that change how we look at managing and running edge…

by sagehirschfeld

UEFI Secure Boot Issue Discussion

We explore the certificate issue in which secure boot is potentially compromised because of certificates that have been compromised in ways they could be easily used as for an attack vector. This is a very significant flaw and something that should be on your purview and radar to fix. We’re going to talk about what…

by sagehirschfeld

Nonviolent Communication [Book Club]

Today we go back to our book club and talk about Nonviolent Communication by Marshall Rosenberg. It’s really foundational work that has elements pulled into a lot of other books that we’ve already discussed, and I think it’s essential for people who are looking to be better leaders. It’s also great to learn how to…

by sagehirschfeld

State Of VCs

We dive deep into the current state of the venture capital (VC) market, exploring the significant shifts and challenges faced by entrepreneurs and investors alike in the post-COVID landscape.Key topics discussed include: The decline in the allure of VC funding and the impact of “pump and flip” models The market volatility and caution among venture…

by sagehirschfeld

BootC created Bare Metal Containers [TechOps]

We dive deep into the technical details of BootC – a Red Hat-led technology that uses container-like definitions to describe machine boot processes. BootC is an important development, especially as companies embrace containers and seek a unified approach to machine configuration. RackN CTO, Greg Althaus, provides an in-depth overview of how BootC works, its key…

by sagehirschfeld

Logging [TechOps Series]

We dive deep into logging, tracing, metrics, observability, with a specific filter for automation and systems and infrastructure. There’s a real challenge here of how you capture information from a running system in a way that provides the right information at the right time. That fundamentally is the question that we are working to answer…

by Cassidy Reynolds

Eve Of A Nuclear Renaissance?

Reference: en.wikipedia.org/wiki/Pebble-bed_reactor Do nuclear power and a potential renaissance in nuclear power, driven by the voracious power demands for data centers, have the potential of becoming accepted, local and an economic boom for communities? If you’re scratching your head thinking, no way, maybe this conversation will change your mind. Enjoy! Transcript: otter.ai/u/yUJapxBhVAhGnPUKgJ…?utm_source=copy_url

by Cassidy Reynolds

Reading Logs and Events [TechOps]

This TechOps episode explores the challenges of processing events and logs in technical operations. The discussion covers the importance of understanding the intent and purpose of building systems downstream from eventing and logging systems. Key topics include the trade-offs between real-time and delayed event processing, the principle of least privilege, and strategies for handling event…

by Cassidy Reynolds

Training Small LLMs

In this episode, we dive deep into the emerging world of building and training small language models. We’ll discuss the benefits, risks, and challenges companies face as they work to create more targeted and efficient AI models. From managing hardware and power requirements to ensuring data privacy and governance, we’ll cover the key considerations for…

by Cassidy Reynolds

Process: Good, Bad And Ugly

This podcast episode explores the challenges of process improvement in IT operations, using examples from data centers, automotive, and cybersecurity. The discussion covers the slow evolution of secure boot, the difficulties cloud providers face in translating their processes to the broader market, and the emergence of vehicle-to-anything ecosystems. The group delves into the need for…

by Cassidy Reynolds

Containers Manager [TechOps]

In this episode, we continue our TechOps series, diving deep into the topic of container management. As containers become increasingly mainstream, the need to effectively manage and orchestrate these lightweight, purpose-built environments is crucial. We’ll explore the distinctions between container management and orchestration, discussing the different tools, techniques and trade-offs involved. We’ll also hear insights…

by Cassidy Reynolds

Supply Chain Security [TechOps]

In this episode, we dive deep into a recent and highly sophisticated SSH intrusion attack that was discovered in the Linux kernel. We’ll discuss how the attackers were able to inject a backdoor into a critical compression library, leveraging social engineering tactics to become a trusted maintainer over several years.

by Cassidy Reynolds

Software Bill of Materials [TechOps]

A software bill of materials is the idea that we can define and document exactly what goes into a system. We look at governance today and SBOMs as we put it together, both from a software and an operation side.

by Cassidy Reynolds

Advanced SSH [TechOps]

SSH and Secure Shell is one of those topics that people take for granted because it is a ubiquitous way to log in and access systems. True to form for the TechOps series, though, we break that down into much more detailed and granular components. We talk about how to secure it and what best…

by Cassidy Reynolds

High Availability [TechOps Series]

Is high availability always a good thing? Today our discussion takes an operations perspective. We look at places where you were over or under committing high availability, where you were confusing disaster recovery for high availability, and perhaps even securing the wrong service or looking at it the wrong way. We cover all of these…

by Cassidy Reynolds

AI and Digital Twins

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: otter.ai/u/xNB0GZQXB4hQMly991…?utm_source=copy_url

by Cassidy Reynolds

UEFI Trust & Secure Boot Issue

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…

by Cassidy Reynolds

AI Platform Consolidation & Walled Gardens

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…

by Cassidy Reynolds

Two But Rule by John Wolpert [Book Discussion]

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…

by Cassidy Reynolds

Crowd Strike vs Operations Responsibility

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 teams face. We’ll dive into the importance…

by Cassidy Reynolds

Containers and Walled Gardens

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…

by Cassidy Reynolds

AI Power Consumption

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: otter.ai/u/mszdgZE5_TG_H6lywY…?utm_source=copy_url

by Cassidy Reynolds

Hybrid & Analog Computing

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 they’re making a comeback, in part…

by Cassidy Reynolds

Hello Crypto, R U OK?

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…

by Cassidy Reynolds

Silos Vs Systems

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 infrastructure pipelining. We…

by Cassidy Reynolds

Surveillance Capitalism [Book Club]

We dive into Shoshana Zuboff’s book The Age of Surveillance Capitalism. Full of amazing insights, predictions, and insightful work, you can 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 recommend…

by sagehirschfeld

Building Infrastructure for AI Training & Inferencing

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…

by sagehirschfeld

Out Of Band Management [TechOps Series]

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…

by sagehirschfeld

Understanding SystemD [TechOps]

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…

by sagehirschfeld

Hello OT, Meet IT

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 vendor locked, narrowly controlled siloed technologies versus…

by sagehirschfeld

PXE, DHCP and O/S Provisioning (oh my)

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…

by sagehirschfeld

XZ Exploit Discussion

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 was involved to make that happen. Transcript: otter.ai/u/kRqADDwa6DmoZcnQEm…?utm_source=copy_url…

by sagehirschfeld

Figure.AI where Robots meet LLMs

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: otter.ai/u/VqiTSDMDLAKcaF1XuA…?utm_source=copy_url References:youtu.be/Sq1QZB5baNw?si=dAxLQIws3xkra_mfspectrum-ieee-org.cdn.ampproject.org/c/s/sp…410624arxiv.org/abs/2402.17764v1www.emergentmind.com/papers/2402.17764

by sagehirschfeld

Dishing on Apple’s Vision Pro

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…

by sagehirschfeld

Compliance Death Curve [Working Session 1]

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 easily understood…

by Cassidy Reynolds

API Consumption [TechOps 003]

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…

by Cassidy Reynolds

Chriss Voss: Never Split the Difference [Cloud2030 Book Club]

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. otter.ai/u/g1zFW444R5NseB8rsV…?utm_source=copy_url

by Cassidy Reynolds

Adaptability vs Agile Innovation

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…

by Cassidy Reynolds

Data Ops Platforms [Does DevOps work in AI?]

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…

by Cassidy Reynolds

Broadcom Creates Chaos & Opportunity

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:www.thestack.technology/vmware-is-kil…isor-and-nsx/www.siderolabs.com/platform/saas-for-kubernetes/ Transcript: otter.ai/u/SO8PD-p8AHwwsKfGsN…?utm_source=copy_urlImage by DALL-E

by Cassidy Reynolds

DevOps and Legacy Buildings

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…

by Cassidy Reynolds

Time for SBOMS? What’s Ahead for 2024?

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…

by Cassidy Reynolds

Innovation Agility vs Adaptability

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 dissonance of innovation, even…

by Cassidy Reynolds

Reflecting On Our 2023 Podcasts

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…

by Cassidy Reynolds

2023 Year In Review

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…

by Cassidy Reynolds

Lean In Data Science

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…

by Cassidy Reynolds

Data Science in Context [Book Discussion]

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…

by Cassidy Reynolds

Identity vs Privacy? Trade-offs required?

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…

by Cassidy Reynolds

Time to Panic at Incidental Surveillance?

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…

by Cassidy Reynolds

Predicting Innovation: Three Horizons Model

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…

by Cassidy Reynolds

Compliance is Fun! (and why you care)

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…

by Cassidy Reynolds

Building Open Ecosystems [Tofu vs Terraform]

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,…

by Cassidy Reynolds

Innovators vs Techno Optimists

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…

by Cassidy Reynolds

Compliance Comes to Kubernetes

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 drama…

by Cassidy Reynolds

Is Limiting LLMs possible?

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…

by Cassidy Reynolds

Data Center & Hardware Impacts on AI

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 question of what…

by Cassidy Reynolds

State of the IT vs OT Edge

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…

by Cassidy Reynolds

Tofu vs a Death of Expertise

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…

by Cassidy Reynolds

Bias in LLMs

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…

by Cassidy Reynolds

Death of Expertise [Book Discussion]

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…

by Cassidy Reynolds

CoDev With LLMs?

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…

by Cassidy Reynolds

Updates from Google Next

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…

by Cassidy Reynolds

VMware Explore, Hashicorp & Industry Update

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: otter.ai/u/J18ecRKKwc8As_TLyC…?utm_source=copy_urlPhoto by Oziel…

by Cassidy Reynolds

Edge (and Beyond) Industry Update

How do Edge and Compute and SaaS and cloud influence everything that we do? We covered topics from VMware explorer and talked a lot about Edge. That led to AI ml, which led to another topic, which led to another topic. If you enjoy hearing about how interconnected our technology and choices are, everything from…

by Cassidy Reynolds

Can we regulate LLMs? Should we?

How do you regulate large language models? We look at the challenges of regulating these AI approaches and how governments and companies can approach it. We untangle how these models work, and dive into the mechanics of what information is controllable. We walk through concrete information that is a benefit to you here as our…

by Cassidy Reynolds

LLMs adding to Technical Debt? Maintenance?

What is technical debt, and how does it apply to large language models? We dive into a really interesting conversation that goes from technical debt into system and code maintenance, which is probably a much better way to think about the challenges we have in maintaining the infrastructure systems, code, data and data lakes that…

by Cassidy Reynolds

Data Darkages – do LLMs drive paywalls?

A coming Data Darkage is on its way, where we’re watching Reddit, Twitter and other companies take what used to be publicly available information and put it behind a paywall or gate. Because of the way large language models are using this data and the value of the data, we are expecting to see that…

by Cassidy Reynolds

Hashicorp BSL vs OSS License Discussion

Hashicorp made a license change into a BSL, a business license which is not open source that allows or makes code available, but instead restricts the use of Hashicorp products to people who are effectively paying customers or enterprise customers. If you’re embedding or repackaging the software or competing with Hashicorp, you are prohibited from…

by Cassidy Reynolds

Data + Operations = DataOps

We talk about DataOps, but if you’re expecting this to be DevOps for data – you are mistaken. Today we talk about engineering data through the idea of data stewardship or how you manage and control the data. Beyond permissions and access into the costs and how things are stewarded, how logs are handled, who…

by Cassidy Reynolds

Book Discussion: Investments Unlimited

This is the second installment of our book group, which is a discussion about Investments Unlimited. We have one of our authors, and a great all around DevOps enthusiast, John Willis, on the call with us. As you might expect, while we talk about the book and John gives a lot of background and details…

by Cassidy Reynolds

Kubernetes Portability

Is Kubernetes actually creating the amount of cloud portability of infrastructure agnosticism that we hope it will? If we’re using the same platform across multiple clouds, multiple infrastructures, multiple management teams, does that actually create portability? It’s a key question for us in building cloud architectures, making decisions about the architect and about how we…

by Cassidy Reynolds

Future of Centos and Enterprise Linux

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…

by Cassidy Reynolds

Can ChatGPT do DevOps?

We use ChatGPT to live create DevOps, automation, Ansible, TerraForm, Python, and interact with different clouds to get advice on how to set up clouds. This discussion includes a screen share session, so if you’re listening to this audio there will be times when we are talking about something you can’t see but I do…

by Cassidy Reynolds

Leading And Selling Decisions in Enterprises

What does it take to make a good decision? We discuss an interesting take on this as we integrate the topic of how to sell into situations, and selling is the ultimate drive in a decision. Our conversation mixes the challenges of making decisions as a leader with the challenges of selling into organizations where…

by Cassidy Reynolds

Generative Coding & DevOps Challenges

What can we expect generative AI to generate and is it going to produce good code? Today we talk about Gluecon and generative DevOps and the different concepts and capabilities around it. What impact is it going to have on developers? How do we control that? Today’s discussion was in preparation for our session on…

by Cassidy Reynolds

Domains And Access For Metadata

What actually is used to describe the provenance and information that comes with our data? Today we discuss metadata and the governance, security, hint, domains, date that accompany data in ways that in some senses are more important than data. How can we move, change and transform data? We had a really robust conversation about…

by Cassidy Reynolds

The Kubernetes Alternate Universe

What would our systems look like if we didn’t have Kubernetes? We started this discussion with platform engineering and its associated challenges. In talking about platforms, we covered ways in which people can consume infrastructure more effectively. That segwayed directly into ways in which Kubernetes could be changed under the covers, used for virtualization use…

by Cassidy Reynolds

Strengthening Security’s Weakest Link

How do you deal with the weakest link in security? Today we talk through how we can secure systems, all the way from what technical processes put in place to the people involved to legal enforcement, and who pays the price when data is compromised? There’s a lot to digest here that comes back to…

by Cassidy Reynolds

Our Service Mesh discussion leaned heavily into the needs around edge infrastructure because there are so many missing parts for the edge deployment systems,

When we started talking about service meshes, we really realize is that the actual control plane, communications grid and security for edge are not defined enough for us to layer on what has become sort of a standard in cloud deployments of service mesh into that discussion.

How we got there, how we discussed it, and the components of why that’s important, is much more interesting than the conclusion itself.

Transcript: otter.ai/u/RuXigltfMAuE4z-NZETAvNQNbRY
Image: Photo by Zachary DeBottis from Pexels [ID 1888883]





Eric Fouarge on Open Source Tools in Cloud, Business Needs and Microservices, and Reality of Serverless

2019-01-28
Stephen Spector
Cloud Computing, DevOps, Kubernetes, Microservices, Open Source
0 Comments

Joining us this week is Eric Fouarge, CTO at Root Level Technology. About Root Level Root Level Technology is a cloud strategy partner. We are the seamless extension of your development and programming teams. We provide a concierge-style support experience for every client, no matter the size. We are an agile shop at the core,…

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Lee Atchison on Edge impact on DevOps, Edge vs Cloud Scale, and other Challenges

2019-01-22
Stephen Spector
Cloud Computing, DevOps, Edge Computing
0 Comments

Joining us this week is Lee Atchison, Sr. Director of Strategic Architecture, New Relic. Author of Architecting for Scale on O’Reilly (link is not a tracked URL) and recent speaker at AWS ReInvent ’19 – Cloud Computing in an Edge World. About New Relic…

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Mark Collier talks in-depth on the OpenStack Community and the Major Open Source Issues of the Day

2019-01-14
Stephen Spector
Cloud Computing, Kubernetes, Open Source, OpenStack
0 Comments

Joining us this week is Mark Collier, Chief Operating Officer, OpenStack Foundation.   About OpenStack Foundation The OpenStack Foundation (OSF) supports the development and adoption of open infrastructure globally, across a community of 100,000 individuals in 187 countries, by hosting open source projects and communities of practice, including datacenter cloud, edge computing, NFV, CI/CD and…

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Sabjeet Johal on Hybrid Clouds, AWS Outpost and More

2019-01-05
Stephen Spector
Cloud Computing, Data Center, Hybrid, Open Source
0 Comments

Joining us this week is Sarbjeet Johal, Principal Advisor, The Batchery. About The BatcheryFounded in 2015, The Batchery is an Berkeley-based global incubator for seed stage entrepreneurs ready to take their startup to the next level. We are a community of veteran investors and advisers ready to provide you with ideas, insights, and networks. Our…

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2018 Podcast Wrap-Up

2018-12-22
Stephen Spector
Cloud Computing, DevOps, Edge Computing, Kubernetes
0 Comments

Rob Hirschfeld and Stephen Spector, your L8istSh9y Podcast Team, wrap up 2018 with some overall thoughts of the past year of Podcasts and a quick preview of 2019 content and planning.

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Calsoft on the value of NFV for Telecom and Edge Computing

2018-12-15
Stephen Spector
Cloud Computing, Data Center, Edge Computing
0 Comments

About Calsoft Founded in 1998, Calsoft provides end-to-end product development, quality assurance, product sustenance, and solution engineering services to assist customers in achieving their product development and business goals. Our deep domain knowledge across various verticals helps customers create exceptional products and get them to market on time and within budget. Calsoft’s deep technical expertise…

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Daniel Bartholomew on developer applications running at the edge today

2018-12-08
Stephen Spector
Edge Computing, Kubernetes
0 Comments

Joining us this week is Daniel Bartholomew, CTO and Founder of Section. About Section Section offers a developer-centric, multi-purpose Edge PaaS solution that empowers web application engineers to run any workload, anywhere. Built to give developers the flexibility and control that they need, Section’s edge platform is infrastructure agnostic (cloud, on-premise, self-hosted), edge workload agnostic…

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Chris Steffen talks Cloud and Edge Security (and his beard)

2018-12-02
Stephen Spector
Cloud Computing, Edge Computing, Security
0 Comments

Joining us this week is Chris Steffen, Cloud and Edge Security Guru. Follow him at @CloudSecChris and on his blog, The Security Beard. Highlights: Latest Update on Cloud Security Core Challenges to Edge Security Shared Data at the Edge Issues

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Michael DeHaan on the new Vespene project and Open Source Licensing

2018-11-26
Stephen Spector
Docker, Microservices, Open Source
0 Comments

Joining us this week is Michael DeHaan from Vespene.io, a modern, streamlined build and self-service automation platform. Highlights: Vespene Introduction ~ only 3 month old project Open Source Licensing ~ is there a crisis? How best to run an Open Source Project

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Janakiram MSV on Device Edge and Management with Kubernetes

2018-11-19
Stephen Spector
Cloud Computing, Edge Computing, Kubernetes
0 Comments

Joining us this week is Janakiram MSV, founder and principal analyst at Janakiram & Associates. Highlights: • Three Flavors of Edge with Focus on Device Edge • Who Builds Edge? Cloud Providers, Telcos, … • Is Kubernetes the Management Foundation for Edge

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