cloud2030

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 previous discussions when we were talking about container management systems. If you are interested in Linux and Linux management, Linux automation, this is a good episode for you! Transcript: https://otter.ai/u/KCK3f95lbUEAEzLgA60k-HbDlGk?utm_source=copy_url

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 general purpose technology. In this case, we're talking about OT as specific vendor locked islands of technology versus IP, which is multipurpose, multifunction shared infrastructure technologies. This podcast addresses the tension and how to resolve it between those two technology approaches. Transcript: https://otter.ai/u/8-ufJsQAb0yrCXkZTBoUM8Detdc?utm_source=copy_url

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

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 work, both in legacy and in modern current systems Transcript: https://otter.ai/u/F1u-2ipyfIZ93yp5qdzcpArLtOg?utm_source=copy_url

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/kRqADDwa6DmoZcnQEmqQD1UaxZ8?utm_source=copy_url References https://www.openwall.com/lists/oss-security/2024/03/29/4 https://news.ycombinator.com/item?id=39865810 https://arstechnica.com/security/2024/04/what-we-know-about-the-xz-utils-backdoor-that-almost-infected-the-world/

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/VqiTSDMDLAKcaF1XuAH8ExhJnLE?utm_source=copy_url References: https://youtu.be/Sq1QZB5baNw?si=dAxLQIws3xkra_mf https://spectrum-ieee-org.cdn.ampproject.org/c/s/spectrum.ieee.org/amp/prompt-engineering-is-dead-2667410624 https://arxiv.org/abs/2402.17764v1 https://www.emergentmind.com/papers/2402.17764

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 thought was going to be a challenge. Whether you are already watching this space or are new to this concept of a spatial computer from Apple, you'll get a lot out of this conversation. Resources: https://www.barnesandnoble.com/w/rainbows-end-vernor-vinge https://www.tomsguide.com/reviews/rabbit-r1 Transcript: https://otter.ai/u/h61-B-2G9RdWT4gQuguLLDtkkx0?utm_source=copy_url

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 components. We built a compliance flywheel that I found really fascinating which you can see an example of that work in our podcast description. It could also be helpful to check out my previously recorded compliance death curve talk that has been released. Resources: https://www.youtube.com/watch?v=4RUKsakKZI0 Transcript: https://otter.ai/u/k9q5ZZ81Hm-EAAtfkVVtKNNqXwE?utm_source=copy_url

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 our API's and what we can do to help make them better and safer. Enjoy this broader TechOps series where we are diving in deep in tips and techniques that improve your journey as an Automator. https://otter.ai/u/5akxcG83FBS1m9PBUnB4rjLzWac?utm_source=copy_url Image by Dall-E

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?utm_source=copy_url

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 iterations that we would call agile processes more appropriate. We also discuss how teams get caught in the middle between standardization and agility. Transcript: https://otter.ai/u/vsWqEiJpssWnyqlOCm4G-IuDi80?utm_source=copy_url Image by DALL-E

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 data is flowing in your system. Transcript: https://otter.ai/u/pesotDnHCCD5lyPVx795EZIhTlA?utm_source=copy_url Image by DALL-E

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-killing-off-56-products-including-vsphere-hypervisor-and-nsx/ https://www.siderolabs.com/platform/saas-for-kubernetes/ Transcript: https://otter.ai/u/SO8PD-p8AHwwsKfGsNqolSoYTlk?utm_source=copy_url Image by DALL-E

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 Cloud 2030 crew will delve into the core skill sets required in this rapidly evolving field. Our series will cover an array of topics, including tools, processes, and methodologies essential for excelling in tech operations. We plan to explore a variety of subjects, aiming to equip you with the knowledge to automate effectively and build resilient systems. This kickoff meeting sets the stage for a year-long exploration into the depths of tech operations, inviting you to contribute your expertise and curiosity. Prepare for an enlightening journey as we lay out our comprehensive Tech Ops agenda. Agenda: https://docs.google.com/document/d/1Yvr8loVNfkxKmaQN5XWEaskzrV9-OsJ4oeKnUcnQ90s/edit?usp=sharing Transcript: https://otter.ai/u/FP_1Ose_jJ7qLezuAVZjFovSyVE?utm_source=copy_url Photo by Bence Szemerey: https://www.pexels.com/photo/brown-wooden-frame-with-brown-metal-pipe-6804254/

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 get into how this type of challenge relates to Operations Management. Refereces: https://nationalpost.com/news/canada/after-the-second-world-war-canada-thought-it-would-be-a-good-idea-to-install-cardboard-sewer-pipes Transcript: https://otter.ai/u/jf8at50nf0KKQG7DrlQAAbCdqH4?utm_source=copy_url Image by DALLE: Victorian house with the second floor redesigned in a modern style, featuring extensive use of glass. Each image also includes the porch with rockers and a poodle.

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 bang. From there, we are going to be moving into our tech-ops series. Find more details about that in today’s outro! Resources: https://www.theregister.com/2023/12/27/bruce_perens_post_open https://developersalliance.org/open-source-liability-is-coming/ Transcript: https://otter.ai/u/UQyqHKJ9oNd1SquAWWNqGp6oAcE?utm_source=copy_url Image by DALLE: cartoon images of a robot reviewing a long bill of materials on a scroll of paper.

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 digging down into distinguishing between inventions and applications. Transcript: https://otter.ai/u/XCidE-0xG7zNmIC7FKEwRrJsPi4?utm_source=copy_url DALL-E Prompt: a factor of rubber chickens getting stretching and upgraded into cybertoys

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, into something that is really discussing technology at the forefront. The forefront of not just tech, but actually of the human and business implications of that technology. Transcript: https://otter.ai/u/d4Rq_a_tdyihTp5EyzOsnRbQ8jg?utm_source=copy_url Image by DALL-E

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 what we think will be shaking, shaping and shaking the market. References https://basecamp.com/cloud-exit https://world.hey.com/dhh/the-big-cloud-exit-faq-20274010 Transcript: https://otter.ai/u/13Wdve1WQVCPjXtsf8QnJtg6r0M?utm_source=copy_url DALL-E Prompt: futeristic graphic of a hall of mirrors with 2023 turning into 2024 and the cast of the wizard of oz

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 look like in an infrastructure automation platform? How can we make these very difficult and challenging components of data and data management, more agile, more lean? I think you will get a lot out of this conversation considering our current hypercharged AI ml and LM environment. Transcript: https://otter.ai/u/1ZuALgSXcPw-bIf2GOumDFZH0UU?utm_source=copy_url DALL-E Prompt: please create a picture of a very large truck stuck under a low bridge. please label the truck as ai and the bridge as lean