Category Archives: All

Containers and Walled Gardens

We start talking about walled gardens and the momentum and push that causes us to get into vendor active environments in this episode. This is going to be a multi-part discussion where we look at the drivers of AI in the future.

In this case, we used up a lot of time before this recording talking about Kubernetes and what’s next for Kubernetes and containers, as well as how that ecosystem has been shaping up. This conversation is about the wall gardens that could be broken down, and in some cases, have actually been built taller because of containerization and Kubernetes and infrastructure and how infrastructure works.

After that background before going into the discussion, we pick it up on how these ecosystems and walled gardens are self reinforcing as well as chinks in the armor that will allow us to go back to interoperable standards.

Transcript: otter.ai/u/oZiuGGiJwjsvycVosq…?utm_source=copy_url

Hybrid & Analog Computing

Analog computing is the idea of non-digital computing. Not quanta, but non-digital, basically using analog circuits, either electrical circuits or potentially even mechanical or fluid circuits, to perform calculations and control systems. These are surprisingly common, especially in older devices, but less common in current and modern devices.

But they’re making a comeback, in part because they’re very fast and efficient, but also because with AI tooling and digital twinning, we can design these circuits much more effectively. With 3D fabrication we can actually create these circuits more effectively if they’re mechanical.

Transcript: otter.ai/u/WRIb_V_hWt9KBcbCXY…?utm_source=copy_url

Cloud2030Analog ComputingHybrid SystemsSystems EngineeringSpace Tech

Hello Crypto, R U OK?

We revisit where we are with Crypto – more specifically where we are with distributed ledger technology or DLT. We give pertinent and real examples of places where the core technology behind Crypto is thriving and making a big difference, as well as has regained its value. We discuss the human impacts of that and what went wrong.

Transcript: otter.ai/u/1je6MzCQuv0U_9_MOa…?utm_source=copy_url

Silos Vs Systems

Martez Reed and I have an in depth conversation about the challenges of propagating technology inside of enterprises, this core challenge of selling silos and individual technologies. What Martez describes as beneficial tool sprawl versus building up systems and integrating things and end to end technology. This is what I’ve been calling infrastructure pipelining. We break down what’s going on in the street related to Open Source technology, Kubernetes, other aspects of what’s happening and how things fit together in an interesting and dynamic way.

Transcript: otter.ai/u/2M4P8U1haMsoT2ahg3…?utm_source=copy_url

Compliance Death Curve [Working Session 1]

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:
www.youtube.com/watch?v=4RUKsakKZI0

Transcript: otter.ai/u/k9q5ZZ81Hm-EAAtfkV…?utm_source=copy_url

API Consumption [TechOps 003]

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.

otter.ai/u/5akxcG83FBS1m9PBUn…?utm_source=copy_url
Image by Dall-E

Adaptability vs Agile Innovation

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: otter.ai/u/vsWqEiJpssWnyqlOCm…?utm_source=copy_urlImage by DALL-E

Data Ops Platforms [Does DevOps work in AI?]

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: otter.ai/u/pesotDnHCCD5lyPVx7…?utm_source=copy_url
Image by DALL-E