PurePerformance

About 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.

Publisher

PurePerformance

Category

technology · technology

Language

en

Explicit

Yes

First episode

5 May 2016

Latest episode

26 Oct 2026

Latest episodes

61 of 348 episodes have a transcript.

1. 

   26 Oct 2026TRANSCRIPT

   Observability for AI: Instrumentation, Patterns, Trends with Giovanni Liva

   Host interviews Giovanni Liva, Principal Software Engineer at Dynatrace, about instrumenting AI applications and optimizing performance with observability trends.

2. 

   12 Oct 2026TRANSCRIPT

   Privacy, Security and Performance: The Hard Lessons of Feature Flagging with Todd Baert

   In the second part of our conversation with Todd, Maintainer of OpenFeature, we learn about why implementing feature flagging is not as easy as at looks at first glance. As a framework developer you need to think about where feature flag evaluations are done. Ideally as close as possible to where your confidential data is you use for making a decision. But that comes with other challenges such as propagating your rule engine potentially to millions of mobile devices. If you think you know all the edge cases then think again and tune in to this episode. Learn about how to not leak any confidential data, how to avoid propagating rules with PII data to millions of devices, and how to build a framework that can evaluate within flags within milliseconds regardless of where your end users execute your code to avoid any impact on end user experience. Links Todd’s LinkedIn: https://www.linkedin.com/in/toddbaert/ (https://www.linkedin.com/in/toddbaert/) OpenFeature: https://openfeature.dev/ (https://openfeature.dev/) Introducing OpenFeature Podcast: https://www.spreaker.com/episode/introducing-openfeature-stepping-into-the-footsteps-of-opentelemetry-with-mike-beemer-and-todd-baert--50043067 (https://www.spreaker.com/episode/introducing-openfeature-stepping-into-the-footsteps-of-opentelemetry-with-mike-beemer-and-todd-baert--50043067)

3. 

   28 Sept 2026TRANSCRIPT

   How AI is shaping Flag-Driven Development with Todd Baert

   Host Mike Beemer interviews Todd Baert, Maintainer of OpenFeature, exploring how AI is revolutionizing flag-driven development and mitigating risks in code generation.

Inside a recent episode

Observability for AI: Instrumentation, Patterns, Trends with Giovanni Liva

Published 26 Oct 2026 · Transcript excerpt

[…] The second is there is no unit test for it. There is no component test, integration test for AI systems. How do you test an LLM and interaction with an LLM? You don't have any of the traditional testing framework that we had in traditional software engineering. You cannot build a unit test for it. You cannot really check things. So you need to do kind of cost testing, testing production. You create some real traffic and then you check, is everything good or bad? And for that, there are different techniques being built. that require observability, because I need to see what happens in my production systems. […]

Who has been a guest on PurePerformance

Names identified in recent episode analyses. Showing up to five guests.

• Giovanni Liva
• Todd Baert
• Michael Binz
• Roman Ferstl
• Anne Currie

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

YouTube views

11,554

Score snapshot 15 Sept 2025

Apple Podcasts (US)

5.0 / 5

10 ratings

Spotify

5.0 / 5

9 ratings

Podcast Authority Score: 75 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

82

Social presence

0

YouTube

76

Engagement

92

Contact PurePerformance

Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

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