Category Archives: All

Domains And Access For Metadata

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 is used.

This is a topic we struggle with: figuring out the naming, how things work, and the context. More than anything else, the context makes things challenging. As you listen to this, think through how challenging it is to define data, data governance, and using data effectively.

Transcript: otter.ai/u/VE2u_jTwG_h4z9ewfI…?utm_source=copy_url
Image: www.pexels.com/photo/cheerful-bl…hoolkids-5905918/

The Kubernetes Alternate Universe

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 containerized automation.

This episode is a pretty thorough review of alternatives to Kubernetes, and the ways in which Kubernetes misses the mark.

Transcript: otter.ai/u/0qX-qloVOzAQ47LgpS…?utm_source=copy_url
Image: www.pexels.com/photo/wrecked-ship-2336927/

Strengthening Security’s Weakest Link

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 security models?

Transcript: otter.ai/u/mkup2hKSzyP0Pkpxkk…?utm_source=copy_url
Image: www.pexels.com/photo/brown-thread-2072872/

Data Cartels Book Discussion

The book Data Cartels by Sarah Lambda serves as a starting point for our discussion today. www.amazon.com/Data-Cartels-Comp…ion/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, and broader implications of what Dr. Lambda lays out – are all really important.

Today’s podcast is understandable and interesting without having had to go through and read the book, but I still recommend that you do.

Transcript: otter.ai/u/T5CJzO8pMrpGnLVGo4…?utm_source=copy_url
Image: www.pexels.com/photo/lady-justic…-a-gavel-6077123/

What is Zero Trust?

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 benefit from this pragmatic discussion of zero trust, security and application architects.

Transcript: otter.ai/u/Z1SO1WuJYT3JmEctZe…?utm_source=copy_url
Image: www.pexels.com/photo/wooden-chai…ll-studio-963486/

Making SBOM A Reality

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 one of those places where I feel like we have really fallen behind.

Transcript: otter.ai/u/J3VtBLiQMAuZgfMCOz…?utm_source=copy_url
Image: www.pexels.com/photo/photo-of-mo…culpture-3810915/

Life Without Kubernetes

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 model could exist outside of Kubernetes? What would be necessary?

We identified enough parts of Kubernetes individually where we saw how it itself is an interesting convergence of some core technologies. Nothing new except in the combination of those architectural paradigms, designs and open source models. Through this, we dig into why Kubernetes is so powerful in the market.

Transcript: otter.ai/u/L7GZRD8-wEnzLIJL5_…?utm_source=copy_url
Image: www.pexels.com/photo/wreck-of-su…-of-bay-12102304/

Generative DevOps

NOTE: This is Rob’s Gluecon topic on 5/24. Save $300 if you register with speaker300 at 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 creating automation and using generative AI.

Transcript: otter.ai/u/VtnznHgydT3_6QSJpk…?utm_source=copy_url
Image: www.pexels.com/photo/tossing-fri…ying-pan-6937457/

AI Time To Decision

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 that have in the market?

If you’ve been tracking this subject, I know you will find this exciting and interesting.

Transcript: otter.ai/u/L3Kb_I4fe0ggAr9nDE…?utm_source=copy_url
Image: www.pexels.com/photo/person-touc…rm-clock-1198264/

Collaborative Platform Engineering

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. We dug into what it takes to make that type of environment work in automation, and what are the prerequisites of the environment?

How do we structure automation?

Transcript: otter.ai/u/IPyFDG19OCH-UekM7P…?utm_source=copy_url
Image: www.pexels.com/photo/doctor-oper…-patient-4421494/