PurePerformance

I still hear people say, “OpenTelemetry is vendor-neutral, so you can switch any time!” In this episode, Adriana Villela and Josh Lee (both active OpenTelemetry contributors) help bust that myth. While OTel standardizes instrumentation and signal transport—and unlocks a rich ecosystem of tools—switching vendors isn’t as simple as it sounds. There’s real cost in retraining engineers, migrating dash...

In this episode, we explore how AI is transforming education, from classrooms to corporate training. What changes are needed in schools and universities? How does AI affect both students and educators? And how should companies rethink internal training and hiring to stay competitive? To answer these questions, we’re joined by Rainer Stropek, CEO of Software Architects and Chairman of Coding Club L...

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...

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 o...

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, aut...

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...

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 barrie...

In this episode, Andi and Brian welcome back Adam Tornhill—founder of CodeScene and author of Your Code as a Crime Scene —to explore how agentic AI is reshaping software engineering. Adam shares his personal journey from 40 years of hands-on coding to orchestrating AI-generated code, and what this shift really means for development teams. Together, they dive into new research on the hidden risks o...

AI is transforming software engineering—faster than many teams can adapt. In this episode, Andi talks with Wolfgang Heider and Benedict Evert about what it really means to build “AI‑native” software, where prototypes turn into production apps in minutes. We explore why good engineering fundamentals still matter, how multi‑agent workflows mirror traditional roles, and why testing, governance, and c...

Why do we still struggle with resilience in 2026? Is it the growing complexity of systems, the pressure to ship fast, or a lack of education around resilient design? In this episode we welcome Adrian Hornsby from Resilium Labs to explore these questions and learn about chaos, complexity, and the importance of continuous learning! Adrian has learned his chaos engineering skills while working at AWS...

Contributing to Open Source is easier than ever - especially because contributions are needed for documentation, demos, tutorials and code. But how to get started? Where to look for "first good issues"? Is everyone welcome? What are the prerequisites? Tune in and hear from Diana Todea, Developer Experience Engineer at Victoria Metrics, on how within a year she made it from Zero to Developer and re...

From Systems Engineer in Aeronautics via many clouds to becoming an SRE in Observability! That's the path from our guest, Alexandra Franz who is a Lead Product Engineer in SRE at Dynatrace. Tune in and learn how their team plans ahead for expected high traffic around Black Friday, Cyber Monday or the Super Bowl. We discuss how regional traffic patterns and differences in available hardware get fac...

If you are still treating your AI Coding Agent like a chat bot and not like a development team then this is one more reason to tune into this episode. In his blog post series 31 Days of Vibe Coding, Jeff Blankenburg walks us through all the lessons learned when bringing an idea to life just with vibe coding. His idea was building a website for collectors of baseball cards. With now more than 950k...

How many people have you met that implemented distributed tracing in the early 2000s? Make it one more after you have tuned into our latest podcast with William Louth.  William, who can't seem to escape the observability space even though he keeps trying, has a track record in the space. He is an innovator and tool builder and is currently reimagining intelligent systems by shifting the focus from...

It started with the prompt: "Create an Uber Clone"! Several iterations and some months later Abhi presents his lessons learned when vibing a Ride Share Platform for RoboTaxis at Cloud Native Days Austria! "Commit to one tool and go deep. Don't get distracted by all the options you have. Treat your agent like a human! Get better in expressing what you really want!", those are the many lessons learn...

Chaos Engineering is the practice to introduced controlled failures into a system with the goal to improve the overall resiliency! What started with "lets see what happens when we unplug that server" to "lets simulate network latency issues" or "lets kill critical pods and see if the system recovers gracefully" is now seeing new experiments being conducted that are identified by a new companion: A...

There is only one successful way to adopt new technology, and that is transformational! Sounds like a high-level consulting pitch but our industry has a track record to validate this statement. Just look at the recent web or cloud-native transformations! Pini Reznik has been helping organizations along the current AI-Native transformational journey. And what a timing: He just published his book on...

Don't get stuck using AI to build faster horses. Instead, find the opportunities and rethink your software delivery processes! That, and only that, will help you increase Developer Experience and Efficiency! This episode is all about how to measure and improve DevEx in the age of Artificial Intelligence. And with Laura Tacho, CTO at DX, we think we found a perfect guest! Laura has been working in...

The AWS US-East problems on Oct 27th was a good reminder how depending we are on globally shared services. Built-in Resiliency is not guaranteed if systems have a hard dependency on a single region of a single vendor. Many of us have experienced systems being impacted that we use on a daily basis - some critical - some not so critical as Andi will tell you when he found out that is beloved Leberka...

While Artificial Intelligence seems to have just popped up when OpenAI brought ChatGPT to the consumer market it has its roots in the mids of the 20th century. But what is it that all of a sudden made it into every conversation we seem to have? Thomas Natschlaeger, Principal Data Scientist at Dynatrace, who has been working in the AI and Machine Learning space for the past 30 years gives us a brie...

On September 8 the world saw the npm supply chain attack. Fortunately the community reacted in record time to avert a disaster.  In todays episode we have Constanze Roedig, Key Researcher at SBA Research, who introduces us to the new buddy of SBoM (Software Bill of Materials): SBoB (Software Bill of Behaviors) and her thoughts on how that new approach to fingerprinting software can help cyber secu...

Defining AI-Native in 2025 is like trying to define Cloud Native back in 2014! We are in the early stages of understanding what AI really means to us. The ecosystem is just evolving, and many organizations are still struggling with re-architecting their digital systems to cloud native patterns! To learn more about the current transformational wave—the AI-Native Wave—we have invited Pini Reznik, CE...

Most AI projects still fail, are too costly, or don't provide the value they hoped to gain. The root cause is nothing new: it's non-optimized models or code that runs the logic behind your AI Apps. The solution is also not new: tuning the system based on insights from Observability! To learn more about the state of AI Observability, we invited back Nir Gazit, CEO and Co-Founder of traceloop, the c...

Did you know that the average salary for a Platform Engineer is 42.5% more than a DevOps engineer? But why is that? We sat down with Artem Lajko, CNCF Kubestronaut and Ambassador as well as Author of the book Implementing GitOps with Kubernetes. We dive into the role of a platform engineer, the common pitfalls in implementing IDPs and why Backstage and AI won't solve all your problems. And we touc...

"Privacy engineering is the art of translating privacy laws and policies into code, figuring out how to make legal requirements such as ‘an individual must be able to request deletion of all their personal data’ a technical reality.", was the elegant explanation from Cat Easdon when asked about what she is doing in her day job. If you want to learn more then tune in to this episode. Cat, Privacy E...