Alois Reitbauer is chief technology strategist, head of open source and the leader of research at observability vendor Dynatrace. He is a contributor to CNCF open source standards such as the Keptn event-driven orchestration project and OpenFeature for feature flag management. His Dynatrace bio also describes him as "a regular conference speaker, blogger, book author and sushi maniac." He reflects on the evolution of AIOps before and after generative AI, and discusses the work still being done to help large language models better generate infrastructure code in response to incidents.

The rise of generative and agentic AI is also OpenTelemetry's moment to shine – in an increasingly non-deterministic world, there's a lot to be said for a standard means of collecting telemetry data about system behavior. However, it can be difficult to get a consensus on everything, especially developers' preferences about instrumenting code.

This week's guest, Austin Parker, was among the original founding members of the OpenTelemetry project and remains a core contributor, as well as a member of the project's governance board. He explores the multiple intersections between the maturing open source observability standard and emerging AI technology, what's on the project's roadmap and shares his own experiences using generative AI to develop apps.

What if you could see your application and infrastructure represented spatially instead of two-dimensional dashboard tabs, similar to atoms in a molecule or stars in the sky? According to Matt Young, founder and co-chair of the Cloud Native Computing Foundation (CNCF) technical advisory group (TAG) on observability, this will soon be a reality thanks to advanced AI models, knowledge graphs, and emerging data storage techniques such as columnar stores. In this episode, Matt discusses the implications of these new technologies for SREs, developers, and software supply chain security.