PurePerformance

Its rare - but it happens: A guest-free episode of PurePerformance, allowing Andi Grabner and Brian Wilson reconnect to share real-world insights from recent months in the cloud-native and observability space. From KubeCon Amsterdam experiences and the strength of open-source collaboration to emerging challenges like AI-generated contributions, they explore how the industry is evolving beyond the hype.
Your co-hosts of PurePerformance discuss the changing role of observability in the AI-native era—both as a foundation for understanding complex systems and as a tool to monitor AI itself. Brian shares his personal shift from AI skepticism to practical adoption, highlighting how AI can significantly improve productivity when used thoughtfully.
Hope you all enjoy this episode!

In 2011 Heroku defined the 12 factor app to remove emerging bottlenecks as developers tried to scale their output when they moved from building monoliths to microservices. In Platform Engineer we see a repeating pattern called the "8 Factor Platform Producers".  AI allows engineering teams to speed up but they face bottlenecks as platform capabilities are not scaling with that demand as they are often depending on a central platform engineering team to be built and maintained.
To learn more about 8 Factor Platform Producers we invited Abby Bangser,  Founding Principal Engineer at Syntasso and CNCF Ambassador. She gave an amazing talk at KubeCon in Amsterdam and today walks us through the need of defining both consumers and producers for platforms to eliminate any emerging bottlenecks in Platform Engineering and allow an organization to reap the benefit of speeding up with AI

Links we discussed:
Abby's LinkedIn: https://www.linkedin.com/in/abbybangser/
Abby's Kubecon Keynote: https://www.youtube.com/watch?v=8t0-5cvvMGM&list=PLj6h78yzYM2MXCOWSN9CqqID6OOvF7wxL&index=30
12 Factor Apps: https://12factor.net/
CNCF Whitepaper: https://cloudnativeplatforms.com/whitepapers/platforms/

As the software world is transforming from cloud native to AI-native, observability must transform with it. But how exactly? How do we apply this in an existing enterprise with established processes and practices?
In this PurePerformance episode, Andi Grabner hosts Hilliary Lipsig and Rob Rati to discuss their new book, Observability in the AI‑Native Era. The conversation explores how AIOps, automation, and modern observability must evolve as systems become cloud‑native, data‑heavy, and AI‑driven.
We talk about why old alerting and SLO models no longer scale, how to balance AI with automation and human judgment, and why trust, security, and compliance matter more than ever when machines start making operational decisions. A must‑listen for SREs, platform engineers, and engineering leaders navigating the AI‑native future.
Links we discussed
Book on Amazon: https://www.amazon.com/Observability-AI-Native-Era-Artificial-Intelligence-ebook/dp/B0GHZH1YFL
Hilliary LinkedIn: https://www.linkedin.com/in/hilliary-lipsig-a5935245/
Rob LinkedIn: https://www.linkedin.com/in/roberthrati/
Andi LinkedIn: https://www.linkedin.com/in/grabnerandi/

AI coding agents are fast—but speed alone doesn’t guarantee quality. In this episode, Andi Grabner talks with Lukas Holzer (Straion) about why large context files and “almost right” AI code create new risks for engineering teams. You will learn about the "Lost in the Middle Syndrom" and why many organizations are not getting the promised 10x engineering boost right now!
Andi and Lukas also explore rule adherence, dynamic context generation, enterprise readiness for AI-first development, and how software engineering roles are evolving in the age of AI.
Tune in to learn more ...

Links we discussed
LinkedIn Profile: https://www.linkedin.com/in/lukas-holzer/
Straion Website: https://straion.com/
90 Percent Rule Blog: https://straion.com/blog/90-percent-rule-adherence-straion-coding-agents/
1million tokens Blog: https://straion.com/blog/1m-tokens-wont-save-your-engineering-standards/

In this episode of the PurePerformance Podcast, Andi and Brian sit down with Chris LaBrado—Solutions Architect for AI Enablement, FSO, SRE, and ITSM at HSN/QVC, where he has spent an incredible 27 years shaping operational excellence. Their conversation dives deep into how AI is transforming software creation, enterprise workflows, and even the very role of developers.
Chris shares how the barrier to entry for building tools and automation has dropped overnight thanks to natural‑language-based development: “Everyone can now create automation or tools without having to worry about the syntax.” He explains why AI is rapidly becoming the primary interface into the enterprise—capable of navigating presentations, emails, and complex back‑office systems—and why the future of engineering may shift from human‑oriented coding to AI-driven development models such as MDCD (MarkDown Continuous Development).
The discussion also takes unexpected but fascinating detours into Chris’s background as a former bowling‑industry podcaster, his recent work with generative agents like DynaClaude, his Vibe Coded Root Cause Agent, and a philosophical exploration of AI, creativity, and the concept of singularity.
Amidst all the change, Chris remains optimistic: “AI opens up a lot of new opportunity for everyone willing to adapt. It will result in us creating more things that ultimately help us as humans.” This episode is a thoughtful, energizing look at where software engineering is headed—and why the future might be brighter than we think.

Links we discussed
Chris LaBrado on LinkedIn: https://www.linkedin.com/in/chrislabrado/
Mo Gawdat, former Google Executive on the Singularity "moment of truth": https://x.com/vitrupo/status/2008824930646057380?s=20
CEO of NVIDIA had an interesting excerpt from interview: https://x.com/MinusWells/status/2031974516155695414?s=20
Elon Musk on speed of AI: https://x.com/r0ck3t23/status/2031639621465931903?s=20
AI brain emulation of a fly (e.g. "a sign of the times"): https://x.com/alexwg/status/2030217301929132323?s=20
Elon on fiat currency transforming based on AI manufacturing loop: https://x.com/elonmusk/status/2020202496547844312?s=20
Fiat currency moves to model based on thermodynamics: https://x.com/r0ck3t23/status/2033371028202602547?s=20