PurePerformance

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 those AI models then the savings we have optimizing our own software? Anne Currie, co-author of O'Reilly's Building Green Software, joins us to untangle the paradox. US data centers are on track to consume over 10% of the national...

AI coding tools are everywhere, but how do you prove they're actually making engineers more productive?
In this episode of PurePerformance, hosts Brian Wilson and Andi Grabner welcome Michael Reichenbach, Platform Engineer at 1KOMMA5°, to discuss the company's journey toward more than 80% AI-written code. Rather than relying on anecdotes or hype, Michael shares how his team...

"There is no single way to deploy OpenTelemetry at scale—and that’s exactly the challenge."
As organizations adopt OTel across teams and environments, they face tough questions around standardization, configuration, and operating resilient observability pipelines.
To address these challenges, the OpenTelemetry community has introduced Blueprints and Reference Implement...

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 retrain...

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 C...