cloud2030
TeknologiAn excellent source for industry thought leadership in Edge Computing, Cloud Computing, DevOps, Open Source base on discussions at.the2030.cloud
Siste episoder av cloud2030 podcast
- TechOps Scaling Challenges (00:56:50)
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 resilient. This is not theory, it is grounded in real-world lessons from managing complex environments and learning how to plan, isolate, and adapt when things go wrong. Transcript: https://otter.ai/u/X8JYiADfPPLEfQ-ggexAP5P_jGc?utm_source=copy_url
- The Opportunity for OpenShift Infrastructure (00:32:55)
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. This isn't about dumping everything into Kubernetes and calling it done, we examine what it really takes to use Kubernetes as your infrastructure abstraction layer while navigating the operational realities that make or break these migrations. Transcript: https://otter.ai/u/IY2Y0a4aFN99ILg9daArE1nwe-c?utm_source=copy_url
- Secondary Markets for Infrastructure (00:43:48)
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: https://otter.ai/u/QR43ePMfKLNrxH1bZo0Ik8YyKo0?utm_source=copy_url
- OpenShift Install (00:59:56)
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, and in this podcast, we explain why. Transcript: https://otter.ai/u/J802BlcVs3K_OU8B5K5pnQ9fAq8?utm_source=copy_url
- AI Export Controls Work? (00:46:08)
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 challenges on export and controls. There's military manufacturing and goods, and that's part of what this AI embargo is about. We really talk about how challenging it is to actually build truly innovative manufacturing and what the barriers are. Transcript: https://otter.ai/u/k6Thp-TOfwKc_RjXHCnTd7tdepc?utm_source=copy_url
- Using AI for Complex IT Problems (00:52:10)
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: https://www.usenix.org/conference/srecon24americas/presentation/cruz Transcript: https://otter.ai/u/P-p1tfjPhD4lbX8cy6pjRb_icQ0?utm_source=copy_url
- AI Slop Ate My College Degree! (00:58:48)
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 slop? Transcript: https://otter.ai/u/5G4AnR858BJnYVZiPV7w5tgAh0Y?utm_source=copy_url
- Do Export Controls work for AI? (00:46:08)
NOTE: It appears that the Trump administration decided to allow nVidia chips... even so, this is a very interesting discussion. 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 challenges on export and controls. There's military manufacturing and goods, and that's part of what this AI embargo is about. We really talk about how challenging it is to actually build truly innovative manufacturing and what the barriers are. Transcript: https://otter.ai/u/k6Thp-TOfwKc_RjXHCnTd7tdepc?utm_source=copy_url
- Lab Toys vs Enterprise Products (00:36:17)
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: https://otter.ai/u/CgO1zVnY5wDFgRNb7XpdUNyIgr0?utm_source=copy_url
- Container Driven Architecture (00:45:51)
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 that is based on a presentation that I've been giving around the shift towards open shift virtualization and Kubernetes in general. Transcript: https://otter.ai/u/BnYKzI0zzOLqqWi45vck9gMwsDk?utm_source=copy_url
- Container Driven Architecture (00:45:51)
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 make a containerized virtualization platform dominant instead of a virtualized virtualization platform. Reference: https://kubevirt.io/user-guide/architecture/ https://www.redhat.com/en/technologies/cloud-computing/openshift/virtualization
- HA Troubleshooting [Tech Ops] (00:55:56)
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 discussions that I hope will shape your thinking as you build high availability systems, diagnostics and troubleshooting for people who are in high availability very complex environments. Transcript: https://otter.ai/u/wM__4w1YIzZnhVdgLuXLsDDu0Ng?utm_source=copy_url References: https://status.openai.com/incidents/ctrsv3lwd797\
- Is 2025 even harder than we expected? (01:04:48)
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 to be a very challenging year. Transcript: https://otter.ai/u/H6UvLC-r2zmBO9A5jffUkhnjr5o?utm_source=copy_url Reference: https://zenoh.io by ZettaScale
- The Many Bits of Quantum State (00:46:45)
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: https://otter.ai/u/Tt282iKZEkt5nL3C3zCDf_-pEIE?utm_source=copy_url References: https://naumanahmad86.medium.com/is-the-mac-mini-m4-cluster-the-ultimate-machine-for-running-large-ai-models-0b6c6a2d9a18 https://news.microsoft.com/source/features/innovation/microsofts-majorana-1-chip-carves-new-path-for-quantum-computing/ https://arxiv.org/abs/2502.19118
- Kubernetes on Prem vs Cloud (00:48:57)
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 multi cloud, some sort of tried and true topics for cloud consideration, but through a new filter and through this repatriation idea of mixing and matching your IT Infrastructure? Transcript: https://otter.ai/u/FKGuQpV-5bQFVASAYDhNQJtuoKM?utm_source=copy_url Resources: https://store.repebble.com/ https://rackn.com/2025/03/18/ready-for-kubernetes-on-bare-metal/ https://www.reuters.com/technology/cybersecurity/google-agrees-buy-cybersecurity-startup-wiz-32-bln-ft-reports-2025-03-18/ https://gabrielsimmer.com/blog/kubernetes-plus-oneplus
- DeepThink AI and Kubernetes (01:03:51)
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 update and manage that AI infrastructure that they're spending so much money to build, and this leads into a broader conversation about virtualization, containers and open shift. Recorded Jan 30, 2025 Transcript: https://otter.ai/u/79JxdYOiXUoSS44pYP9bnZc4xN0?utm_source=copy_url Reference: https://www.perplexity.ai/search/provide-an-extensive-and-detai-HmRlePfiTQ6LJG_X0SlB5g#8
- Writing Great Test Scripts [TechOps] (00:52:11)
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 thread that we answered and then had a whole hour conversation about just how important and impactful this type of script is. Transcript: https://otter.ai/u/Cb3yac8JHvlM2yqh72bA_CBPWgs?utm_source=copy_url
- HA in DRP [TechOps] (00:58:52)
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 are interested in how HA systems work, this is a great session to learn firsthand from our experience! Transcript: https://otter.ai/u/9lA9djczp5GkJbj12k0EzFUXw4g?utm_source=copy_url
- Gitops and Immutability (00:50:58)
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 and immutability, and what we're doing here is connecting together the operational concepts between controls and desired state communications and how that gets executed in infrastructure in an operations sense. Rather than a developer approach, this takes an operations approach. So if you are interested in how to manage immutability and what that means in infrastructure, this discussion is for you.
- KubeVirt in the Enterprise (00:32:23)
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 adoption and commercialization? If this is going on in your organization, we want to hear from you. We want you to be part of the conversation, because this is a really important transition point for the industry, for people questioning their VMware consumption, and for people looking to expand their Kubernetes footprints. Transcript: https://otter.ai/u/nEzH4t1JDEa51fvQFcWcFzMXmkE?utm_source=copy_url
- Why is adding LLM into an App so hard? (00:50:29)
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 a little bit of something more infrastructure focused, where I give a preview of work I've been doing on separating Kubernetes virtualization from Kubernetes development use cases, which is something that we will be talking about more in the future. References: https://www.windowscentral.com/software-apps/microsoft-just-put-this-controversial-notepad-feature-behind-a-paywall https://www.ibm.com/new/announcements/ibm-to-acquire-datastax-helping-clients-bring-the-power-of-unstructured-data-to-enterprise-ai-applications https://www.youtube.com/watch?v=Ioc3r70HNLM https://www.linkedin.com/posts/dhinchcliffe_major-agentic-ai-news-for-cios-this-week-activity-7303122989498138624-jR2R/ 20250227
- Virtualization in Containers (KubeVirt, OpenShift Virtualization) (00:38:46)
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 make a containerized virtualization platform dominant instead of a virtualized virtualization platform. Reference: https://kubevirt.io/user-guide/architecture/ https://www.redhat.com/en/technologies/cloud-computing/openshift/virtualization
- Symbolic AI (00:51:01)
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 group also discussed the challenges of building trust in AI systems and the importance of capturing and storing questions and answers to build a knowledge base.
- Software Defined Edge (00:49:28)
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 infrastructure? Will we shift compute and operations processes into these ever smarter devices? The answer is going to surprise you. Transcript: https://otter.ai/u/tGIcIC1bijvaW4OkJNm9YCEBdOE?utm_source=copy_url
- UEFI Secure Boot Issue Discussion (00:45:10)
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 the issue is, why it's important, how secure boot works, and what you can do to mitigate this problem in your own infrastructure. This is a really important episode for anybody running or managing desktops, data centers or infrastructure of any type. Transcript: https://otter.ai/u/59uYpJpra5SutJOpEB_bPZ2CUqI?utm_source=copy_url