PurePerformance

PurePerformance

The brutal truth about digital performance engineering and operations. Andreas (aka Andi) Grabner and Brian Wilson are veterans of the digital performance world. Combined they have seen too many applications not scaling and performing up to expectations. With more rapid deployment models made possible through continuous delivery and a mentality shift sparked by DevOps they feel it’s time to share their stories. In each episode, they and their guests discuss different topics concerning performance, ranging from common performance problems for specific technology platforms to best practices in development, testing, deploying and monitoring software performance and user experience. Be prepared to learn a lot about metrics. Andi & Brian both work at Dynatrace, where they get to witness more real world customer performance issues than they can TPS report at.

Episodes

March 15, 2026 43 mins
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 clarity of intent become more importa...
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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 for many years. He shares insights ...
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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 receiving the Contributor Award for Op...
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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 factored in for capacity management an...
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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 cards from almost 10k players, he ha...
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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 data collection to meaning-making. ...
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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 learned in Abhi's journey applying the po...
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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: AI 
In this episode we have invited B...
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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 From Cloud Native to AI-Native wher...
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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 dev tooling space for the past 15...
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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 Leberkas Pepi App didnt work!
Besides this ...
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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 brief historical overview and describes ...
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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 security teams. 
What's a BoB? It's a det...
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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, CEO and Co-Founder of re:cinq. We will...
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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 company behind OpenLLMetry, the open ...
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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 touch upon a topic hot off the press aro...
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"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 Engineer at Dynatrace, shares her lea...
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More than 50% of platform engineering leads don't know how to measure the impact of their platform! Many platform projects fall into common anti-pattern traps that make the platform look great on Day 1 but fail to scale and excite on Day 2!
Daniel Bryant - who's profile tagline is "Helping you build better platforms" - is sharing his thoughts on how to measure the value of your platform, how to avoid common anti-patterns and why he ...
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"How do you measure the impact you have with your platform engineering initiative?" is a question you should be able to answer. To show improvement you must first need to know what the status quo is. And this is where frameworks such as DX Core 4 come in. Never heard about it? Then tune into this episode where we have Dušan Katona, Sr Director of Platform Engineering at Ataccama, who is a big fan of the DX Core Four Metrics and who...
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"15 years ago it was enough to be smart - going forward its not a differentiator - being smart will just make you average!". But what is it? What makes great leaders worth following and how do they achieve tripling their value while others keep waiting for their 5% raise?
4 years ago Marian Kamenistak launched the Engineering Leadership Community out of Prague, Czech Republic. Feeding from his experience in the Silicon Valley this c...
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