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.
326 episodes transcribedHow 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...
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...
"Privacy engineering is the art of translating privacy laws and policies into code, figuring out how to make legal requirements such as ‘an individual...
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-patte...
"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 yo...
"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 make...
Scientific research is the foundation of many innovative solutions in any field. Did you know that Dynatrace runs its own Research Lab within the Camp...
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)...
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...
MCPs (Model Context Protocol) is an open source standard for connecting AI assistants to the the systems where data lives. But you probably already kn...
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 Dist...
