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.
336 episodes transcribedIn 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 "...
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...
Don't get stuck using AI to build faster horses. Instead, find the opportunities and rethink your software delivery processes! That, and only that, wi...
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 sy...
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...
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 h...
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....
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 o...
