cloud2030

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 more as we explore how to better use large language m...

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_Ao?utm_source=copy_url Photo by Oziel Gómez: http...

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 Bitcoin to edge, and cloud and government interaction, this is the podcast for you beca...

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 listener, and incentive for you to join us in future conversations as we...

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 we have to deal with on an everyday basis. How do we maintain, store,...

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 trend accelerate. This will have profound implications for how we think of, share, and use data in t...

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 using it. We spent this podcast looking into why,...

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 controls how much access and how quickly people have access, where you're putting the data...

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 about the book, we treat it with the classic cloud2030 style, and bring in AI, large language and...

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 build architect appli...

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 build better software in response to the potential fragmentation of Red Hat, Linux E...

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 make a point of working to explain what we're doing. There’s also a video of the sc...

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 people have to make a decision to choose your product. It also includes tips on how t...

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 June 13, where we're going to group program GPT to see what type of DevOps coding sk...

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 how access to data is so critical in actually understanding how data...

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 for non traditional containerize...

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 thoughtful ways in which we can deal with the weakest link in the systems. How do we create robust secu...

The book Data Cartels by Sarah Lambda serves as a starting point for our discussion today. https://www.amazon.com/Data-Cartels-Companies-Monopolize-Information/dp/1503633713 A dense and thoughtful book, it is straight up the alley of the type of conversations of the2030.cloud has. Our analysis of the book and the challenges it provides - the data compliance governance, the legality, the threat, an...

How can you execute on a zero trust strategy and what do you need to keep in mind while building it? Today covers the 101 and 201 levels on zero trust. We had a really good conversation about how it works, what doesn't work, what you need to be prepared for. Even if you think you understand zero trust, you will get something out of this conversation. And if it's a new topic for you, you can also b...

Software bills of materials are one of the most critical, modern software development practices that people should be doing but don't. They have significant impacts in improving security, provenance, reproducibility, and license compliance. The benefits of having a good software bill of materials in our technology industry are incredibly high, both as a producer and a consumer. And yet, this is on...

We dig into a topic written about by Eric Norlin or SK ventures about technical debt and AI. In this episode, we discuss the consequences of generative AI could be radically transforming the way in which we generate code and deal with code that has been generated in technical debt. We explore some fascinating concepts about how fast we can iterate, how we change the dynamics of building software,...

We continue our discussion of what would the environment look like without Kubernetes? We started with the idea of what if Kubernetes went away, what if there was a copyright or a trademark or an API issue that made us have to abandon Kubernetes altogether? In this episode we played what if scenarios, exploring what made Kubernetes unique, and if parts of Kubernetes or parts of the architectural m...

NOTE: This is Rob's Gluecon topic on 5/24. Save $300 if you register with speaker300 at https://www.gluecon.com We dive into the question of whether or not generative AI can be used to productively change DevOps automation and the control of infrastructure. We've discussed the closed loop side of using AI to manage infrastructure in the past, but this episode we really dive into the idea of creati...

We talk about improving the time it takes to make decisions - called time to decision, a topic that we like to address quite a bit. We started with the news of the day around AI, ml Chaffee GP, and learning models. We asked ourselves if AI/ML and generative AI could change the way expertise is used to make decisions and improve the time to the decision for experts. What type of implications would...

Today we look at what it takes to have much more collaborative building of automation, templates and shared components that are necessary to really drive platform engineering, and not just between teams at the same company. We make components for infrastructure automation that bridges the industry because they can be shared much more broadly, similar to the way we share modules in coding languages...