cloud2030

How do we sustain open source? Today we discussed how the commercial models and sustaining models around open source are changing and evolving. We also included some conversations about whether or not generative AI might actually change the economics around that part of open source. We hit on top projects, open source hardware, open source, operating systems platforms, a whole gambit, and how it f...

A conversation about platform migration turned into an interesting topic about the end of expertise and the changing of the way we think about expertise in a variety of contexts. How can platform improvement be radically transformed by the use of AI? We discuss entering a world where the lock that we've had in a platform, or the longevity of a platform, is radically transformed by the ability to r...

How has Kubernetes changed our industry? Today's discussion is part of a multi podcast conversation in which we're going to think about ways in which Kubernetes could go away, or could influence other technologies in such a way to be transformative. We went down the path of what we have learned from Kubernetes and how it influences other aspects of IT operations, architecture and design, and explo...

Every time we look at data analytics and data systems, the idea of having a way to manage control and explain the data is actually as important as the data itself. This episode is all about metadata, specifically, metadata related to data analytics analysis, Big Data computation, sort of the data lake metadata problem. Today we discuss the challenges of data management, but also the potential of u...

Emily Friedman's DevOpsDays Ukraine presentation about rethinking the software development lifecycle or SDLC sparks our conversation today. She describes looking at it as a multi-dimensional cross functional discipline, that actually accounts for six different vectors of capabilities that need to be factored in - a resilient and robust look at the SDLC. Watch her YouTube: We found that the model d...

What are the human and management factors that go into building great platform engineering? And what are the efforts of control having too much control or too much flexibility, not enough collaboration, not creating space for innovation, and changing inside what's inside these platform engineering efforts? Today, we discuss centralized versus decentralized platform engineering, or as came up in th...

We check in on data gravity to see how generative AI and conversations about metadata and thinking on data lakes impacts data gravity thinking in general. Data gravity is a concept that has been propagated by David McCrory, a friend of mine, who defined this idea that data itself, the aggregation of data, the use and transit of data has a gravitational effect. That it pulls more data to it as well...

Is hardware going to be innovative and change? Brian Cantrell brings up oxide computing and some of their design motivation. Today we discuss our skepticism about some of his points, as well as the impacts for cloud distributed Compute hardware design mainframes, cloud, repatriation, and a whole bunch of topics about next generation thinking in Compute infrastructure management and applications. W...

How does AI chat and generative AI have the potential to disrupt everything we know about social media? Today we talk Twitter versus mastodon. We spend most of our time talking about the power, influence and simple use cases for generative AI. Is this going to break Mastodon, Twitter and other forms of social media? We have a pretty compelling conversation about that, too. If you're a fan of Masto...

What is generative AI and what are people now just generically calling ChatGPT? We put these things in a technical frame, meaning can we use generative AI to improve our programming, testing or automation? What does it take to use these concepts in ways that iteratively improve IT infrastructures. We review the state of chat, ChatGPT, AI infrastructure and things like that. Transcript: https://ott...

Is platform engineering effective at hiding complexity from developers? Today we tear apart what platform engineering is doing, how it came about and what it's trying to be. We discuss what companies are trying to accomplish with platform engineering - how can successful efforts improve outcomes for development teams and operations teams by improving collaboration in contracts? Why and how is that...

How can the intersection of generative AI machine learning and artificial intelligence be applied to environments using digital twins? Today we discuss digital twins and artificial intelligence. How can we improve the simulations, the systems, the interactions that we build? How can we correctly model complex components of everything from cars to pumps in ways that allow us to then build on top an...

Platform engineering is quite buzzy and has a lot of hype at the moment. Today we dug behind the hype to acknowledge how the term is being used and misused. We cover why this is a topic of interest, how it’s driving customer thinking around operations and development teams, how it's working to establish standard operating procedure around infrastructure and operations to support a business, and ho...

We break down the edge compute cluster by the Chick-fil-A team, and we talk about how they use Kubernetes, specifically K3s in 2500 of their restaurants to build an IoT and restaurant management system. This system uses Intel Knucks, a commodity commercial residential grade hardware. It’s an update on a four year old Kubernetes story with a lot of buzz, and they show how they have been successful...

How do we improve the time to decision for CIOs? Today we talk about general business practice and how we can help. Technical innovators and architects create value for the teams that they support. This can either be from an automation perspective, which is what RackN does, or from a data perspective, which Tyler describes in the podcast today. These are real challenges. When we flip the script an...

This episode is a one person retrospective on Cloud 2030. As well as what we want to be talking about and doing over the next year. I hope you'll take a second and listen to my reflection on what we've been talking about and where things are going. Think about what you want the show to be. This podcast is structured around the discussions we come up with together, as well as current events. We try...

Hazel walks us through the Hackyderm.io leaving the basement migration. We also talk much more generally about Mastodon fediverse and scaling distributed systems. This podcast is like a super class in what it takes to scale infrastructure and systems, especially live and under duress. Every minute of this conversation is worth listening to twice. Check out these resources as well: * https://hachyd...

Data comes from many different places, sources, and ways. Some data we call dark data, which is data not accessible to you, and all of it relevant. Today we talk about metadata as part of the governance control management exposure of data. An important layer beyond the data itself is the governance intent, how people access it, and how you combine data. We discuss exactly what that is, but still o...

We get an update for the first time in four years about Chick-fil-A edge Kubernetes clusters that gets to the heart of how building distributed infrastructure works and what the challenges are. Article: https://medium.com/chick-fil-atech/enterprise-restaurant-compute-f5e2fd63d20f We had a fantastic conversation about laying the foundations for this. We came away with two really important thoughts...

Our mini episode today is a short discussion of API delineation and abstractions for platform engineering. This was a short intro discussion, and it is especially interesting because platform is a major topic we will be exploring in the coming year. We highlight the challenges of finding the right abstraction points as well as building front end and back end automation. Transcript: https://otter.a...

Today is a one on one discussion between me and Rocky Grover about infrastructure, infrastructure patterns, AI, and how all of these systems connect. We think deeply about what it takes to design great systems and cover a ton of ground to connect it all back together into systems design. Rocky has a lot of depth of experience here. Transcript: https://otter.ai/u/EYgaZUm5s36KYrUhDIwcXTkLHcA Image:...

Metadata is information that travels with the raw data that provides context, provenance, security, authorship, controls, and indexing. The number of ways that you can expand the use of data is controlled by adding metadata. It creates a change in how we look at and manage data. Instead of creating control systems that contain the data, it’s actually packaged the control infrastructure, or the dat...

If you love data and data context formats for exchanging data, you will love this conversation. Today’s episode is a deep conversation about the potential ability to define ways in which we produce, store and share data, providing context using markup languages, and then being able to extend that. It’s a fascinating conversation about how much we could improve our use of data if we were able to pr...

Today we talk about backstage.io, and we have that conversation centered around a demo done by one of the RackN and interns, Zander Franks. Check out the demo video here: https://youtu.be/cAQQOmKz4OI Zander has been exploring with the backstage to Digital Rebar integration, and the conversation that results explains backstage in some fundamental ways and also what it takes to build good developer...

We discussed the implications of chat GPT for it and the industry. In today’s episode, we spend a lot of time figuring out how data provenance governance, bias, and ownership will impact chat GPT in IT and technology and cloud contexts. This discussion really looks into how chat GPT can be used in disruptive ways, but also in protective ways as what we describe as guardrails for how these systems...