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.
343 episodes transcribedThree years ago, Roman Ferstl — entrepreneur, founder, and returning PurePerformance guest — found himself experiencing something he struggled to expl...
When AI can generate and optimize code at scale, does that make software greener — or just faster to get wrong - or does it cost more to train and run...
AI coding tools are everywhere, but how do you prove they're actually making engineers more productive?In this episode of PurePerformance, hosts Brian...
"There is no single way to deploy OpenTelemetry at scale—and that’s exactly the challenge."As organizations adopt OTel across teams and environments,...
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 Open...
In this episode, we explore how AI is transforming education, from classrooms to corporate training. What changes are needed in schools and universiti...
Its rare - but it happens: A guest-free episode of PurePerformance, allowing Andi Grabner and Brian Wilson reconnect to share real-world insights from...
In 2011 Heroku defined the 12 factor app to remove emerging bottlenecks as developers tried to scale their output when they moved from building monoli...
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 a...
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 c...
In this episode of the PurePerformance Podcast, Andi and Brian sit down with Chris LaBrado—Solutions Architect for AI Enablement, FSO, SRE, and ITSM a...
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...
AI is transforming software engineering—faster than many teams can adapt. In this episode, Andi talks with Wolfgang Heider and Benedict Evert about wh...
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 re...
Contributing to Open Source is easier than ever - especially because contributions are needed for documentation, demos, tutorials and code. But how to...
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 Lea...
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....
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 wi...
It started with the prompt: "Create an Uber Clone"! Several iterations and some months later Abhi presents his lessons learned when vibing a Ride Shar...
Chaos Engineering is the practice to introduced controlled failures into a system with the goal to improve the overall resiliency! What started with "...
