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 data control plane, as part of the data so that all of the systems can participate in it. We also talk about data mesh a lot in that context. Transcript: https://otter.ai/u/bho2SHu0N1YfECix6X8qNvKTlB4 Image: https://www.pexels.com/photo/pensive-ethnic-man-listening-to-answer-in-paper-cup-phone-3760607/

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 provide more context about who wanted to see it and what relevance it had. We also have some interesting conversations about data migration and how we share information. Transcript: https://otter.ai/u/S9_tibMGhkoajG0bP8LaciJ32Ys Image: https://www.pexels.com/photo/a-grayscale-of-a-man-making-a-frame-with-his-hand-10839215/

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 portals. You will find in this episode both the broader information about how to do integrations where you have a developer portal as a front end and the key insights about how backstage works. To get the most out of the backstage pieces, you will definitely want to see the video on Youtube. Take time to enjoy this whole podcast, both in video and audio format. Transcript: https://otter.ai/u/xWx-q_ZvK4oX1sDJS09F1BsaZZI Image:https://www.pexels.com/photo/wood-fashion-man-people-5650782/

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 are going to get built. We come to some very interesting conclusions. Transcript: https://otter.ai/u/aETNeRoDnspFnmPT3KcjBuHQTzE Image: https://www.pexels.com/photo/surprised-young-woman-browsing-mobile-phone-3771127/

What is the architectural balance between learning curve, architecture, building things that can scale while acknowledging overhead, and the attitude of just get it done? Don't make my tools complex and let me be very productive quickly. If it doesn't scale, then we see this as an ongoing challenge. Two engineers from RackN led today’s discussion in which we really talked about the balance that we try to achieve at RackN as we design our product, with the understanding that, ultimately, scale really does matter. If users have trouble understanding how the product works, at first, that learning curve can push people away, so that they never actually get into the product. That’s where finding the right balance is absolutely essential to success. Transcript: https://otter.ai/u/DAfKcHVBAiOY5EuReW1krDYsqso Image: https://www.pexels.com/photo/anonymous-woman-showing-sketch-of-trendy-stylish-outfit-7148032/

We do a 2022 retrospective slash 2023 prediction episode - a sort of end of the year classic for us, except our predictions and look ahead are different from most people's. We're looking at some broader trends around software, build materials, impact of GPT (which will be a future episode), edge Technology, cloud adoption, security, faults and failures. Not your garden variety look back look ahead type of show. Transcript: https://otter.ai/u/IzKlo7CAljPkSzmyV5qLy5kLPj0 Image: https://www.pexels.com/photo/binocular-blue-sky-daylight-discovery-221538/

Platform engineering is a topic that seems to be generating a lot of interest going into 2023. It’s sure to be one of those things that enterprises spend a lot of time arguing about and telling each other that they're doing it wrong. In this podcast, we dissect why platform engineering seems to be so controversial, and what we can do to help make it more understandable. We break it down into DevOps components, team components, Dev components, operations components, and ultimately talk about long term trajectories of how all this stuff is going. Image:https://www.pexels.com/photo/person-skating-on-skateboard-ramp-1527241/ Transcript: https://otter.ai/u/SAAMNdHZh9lEeHrBxwcWmUxuDhs

There’s a lot to the evolving world of web three, crypto, and distributed infrastructure blockchain, jump and distributed ledger. That environment has changed dramatically in the last several weeks with the crypto winter followed by the ft x implosion. It has really changed people's perception of the market, which is much broader than just crypto but yet they are very closely coupled. In this podcast, we're going to discuss what happened and what the ramifications are, why things like this do happen and how the industry around web three and smart contracts and various applications for this technology can or should pick up the pieces and continue. Image: https://www.pexels.com/photo/man-fixing-vehicle-engine-2244746/ Transcript: https://otter.ai/u/Uh6G4B_NABZ6YO9jD0aORuOYrz0

How does the Kubernetes admission controller work, what are the failure modes and what do we need to guard against? Today, we discuss almost everything that you need to know to understand the admission controller process better and to think about it in a secure, robust and resilient way. I can't think of a better primer on today’s topic and Kubernetes architecture more generally, I am certain you will enjoy the discussion. Transcript: https://otter.ai/u/RG9oPvwRtpofwUfg0rXLMKdV50I Image: https://www.pexels.com/photo/selective-focus-photography-of-traffic-light-1616781/

How do we make social networks safe? Who we make them safe for is really important, and today we talked about making them safe for brands, advertisers and communities. These groups want to organize in technical and professional ways, not just to prevent harm for the users or the safety of the users from persecution. We drilled into Mastodon specifically as a haven for Twitter users and how the federated system that Mastodon uses could actually be a really fantastic commercial model for brands that want to go beyond advertising to focus on content generation and sharing. Transcript: https://otter.ai/u/1m_t3Bz0yaucmNe5MFm_ROfXv1k Image: https://www.pexels.com/photo/black-and-white-warning-sign-13727202/