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PODCAST

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,

technology

All Episodes

46:11

Whats Hot in Cloud and AI-Native and what we learned...

PurePerformance ·

2025/10/27

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 outage we discuss lessons learned from Cloud Native Days Austria,

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49:08

How to test, optimize, and reduce hallucinations of...

PurePerformance ·

2025/10/13

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 the critical evolutionary steps and compelling events in that

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27:05

Hello BOB - Cloud Native Cybersecurity with Bill of...

PurePerformance ·

2025/09/29

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 detailed runtime behavior profile of software. It expands on the static

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51:55

AI-Native: The Next Revolution after Cloud Native...

PurePerformance ·

2025/09/15

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 discuss what we can learn from previous "waves of innovation," why

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50:35

State of AI Observability with OpenLLMetry: The Best...

PurePerformance ·

2025/09/01

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 source observability standard that is seeing exponential adoption

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47:46

Platform Engineering is not just a trend and why...

PurePerformance ·

2025/08/11

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 around Terraform: Its not dead!Links we discussedArtem's LinkedIn:

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53:22

What is Privacy Engineering and Why Its not as...

PurePerformance ·

2025/07/28

"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 learnings about things such as: When the right time is to form your own

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47:27

Platform Democracy NOW! How to keep your Platform...

PurePerformance ·

2025/07/14

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 believes that the future of platform engineering is in Platform

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49:48

DX Core 4 Applied - Measuring Developer Productivity...

PurePerformance ·

2025/06/23

"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 has just applied it in his current role to optimize developer

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39:52

In the AI Age being Smart is not enough for Tech...

PurePerformance ·

2025/06/09

"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 community has grown to 1500 members with the mission to create

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50:59

The Research Behind the AI and Observability...

PurePerformance ·

2025/05/26

Scientific research is the foundation of many innovative solutions in any field. Did you know that Dynatrace runs its own Research Lab within the Campus of the Johannes Kepler University (JKU) in Linz, Austria - just 2 kilometers away from our global engineering headquarter? What started in 2020 has grown to 20 full time researchers and many more students that do research on topics such as GenAI, Agentic AI, Log Analytics, Procesesing of Large Data Sets, Sampling Strategies, Cloud Native Security or

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42:00

Organizational Sustainability through Platform...

PurePerformance ·

2025/05/12

As a leader that wants to optimize an organization you are bound to fail if you isolate social (culture and people) and technical (tools and process) changes. When we ask Lesley Cordero, Staff Engineer at The New York Times how to solve this dilemma she answers: "Platform Engineering, it can drive organizational sustainability by practicing sociotechnical principles that provide a community driven support system for application developers using our standardized shared platform architecture"Tune in

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46:47

Run Towards the Fire: Why we should love incidents...

PurePerformance ·

2025/04/28

Do you plan for incidents? Do you have a time / cost budget for it in your sprint or quarterly planning? Do you have engineers that are "interruptible"?We discussed those and more questions with Lisa Karlin Curtis, Founding Engineer at incident.io who teaches us why we need to think differently about dealing with incidents!In our discussion we learn why modern incident management embraces more incidents that are publicly shared within an organization to foster learning. We learn about how to train

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46:43

MCPs (Model Context Protocol) are not that magic, but...

PurePerformance ·

2025/04/14

MCPs (Model Context Protocol) is an open source standard for connecting AI assistants to the the systems where data lives. But you probably already knew that if you have followed the recent hype around this topic after Anthropic made their announcement end of 2024.To learn more about that MCPs are not that magic, but enable "magic" new use cases to speed up efficiency of engineers we have invited Dana Harrison, Staff Site Reliability Engineer at Telus. Dana goes into the use cases he and his team

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56:19

The History & Power of Distributed Tracing with...

PurePerformance ·

2025/03/31

So you think Distributed Tracing is the new thing? Well - its not! But its never been as exciting as today!In this episode we combine 50 years of Distributed Tracing experience across our guests and hosts. We invited Christoph Neumueller and Thomas Rothschaedl who have seen the early days of agent-based instrumentation, how global standards like the W3C Trace Context allowed tracing to connect large enterprise systems and how OpenTelemetry is commoditizing data collection across all tech stacks.Tune

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59:14

An Inside Look into Platform Engineering for...

PurePerformance ·

2025/03/17

In the ever-changing IT world, creating content that stays relevant for long is hard. One of the objectives of "Platform Engineering for Architects: Crafting Modern Platforms as a Product" was to stay timeless by providing practical examples of use cases not necessarily tied to current technology trends.The book focuses on the importance of building a platform with a purpose, making the impact measurable, and ensuring the platform continuously evolves by continuously including the end users (the

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38:31

How CERN analyzed 1 PetaByte per second using K8s...

PurePerformance ·

2025/03/03

One PetaByte is the equivalent of 11000 4k movies. And CERN's Large Hadron Collider (LHC) generates this every single second. Only a fraction of this data (~1 GB/s) is stored and analyzed using a multicluster batch job dispatcher with Kueue running on Kubernetes. In this episode we have Ricardo Rocha, Platform Engineering Lead at CERN and CNCF Advocate, explaining why after 20 years at CERN he is still excited about the work he and his colleagues at CERN are doing. To kick things off we learn about

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50:40

Why Compliance is Important and not Boring with...

PurePerformance ·

2025/02/17

The word "Compliance" reminds many about mandatory training or audits. Two things not everyone gets excited about!Tune in and meet Michiel de Lepper who has spent most of his career in Security and Compliance. He gives us a different perspective on the importance of compliance, why it exists, how it intertwines with security and threat detection, what it has to do with security posture management and why he thinks its one of the most exciting things in IT!Links we discussed:Michiel's LinkedIn:

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50:36

What's next for Feature Flagging and OpenFeature with...

PurePerformance ·

2025/02/03

Feature Flagging - some may call them "glorified if-statements" - has been a development practice for decades. But have we reached a stage where organizations are doing "Feature Flag-Driven Development?". After all it took years to establish a test-driven development culture despite having great tools and frameworks available!To learn more we invited Ben Rometsch, Co-Founder of Flagsmith, to chat about the history, state and future of Feature Flagging. He is giving us an update on where the market

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47:31

Observability Predictions 2025 Under the Covers with...

PurePerformance ·

2025/01/20

To predict the future, it's important to know the past. And that is true for Bernd Greifeneder, Founder and CTO of Dynatrace, who has been driving innovation in the observability and security since he founded Dynatrace 20 years ago!Bernd agreed to sit down, look behind the covers and answer the open questions that people posted on his LinkedIn in response to his recent observability prediction blog. Tune in and learn about Bernd's though on the evaluation from reactive to preventive operations, who

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43 results

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