Podcasts

Greg Law on Debugging, Record & Replay of Data, and Hyper-Observability

In this podcast, Daniel Bryant discussed with Greg Law, CTO at Undo, the challenges with debugging modern software systems, the need for “hyper-observability” and the benefit of being able to record and replay exact application execution.

Katie Gamanji on Condé Nast’s Kubernetes Platform, Self-Service, and the Federation and Cluster APIs

In this podcast, Daniel Bryant sat down with Katie Gamanji, Cloud Platform Engineer at Condé Nast International. Topics covered included: exploring the architecture of the Condé Nast Kubernetes-based platform; the importance of enabling self-service deployment for developers; and how the Kubernetes’ Federation API and Cluster API may enable more opportunities for platform automation.

Joseph Jacks on Commercial Open Source Software, RISC-V, and Disrupting the Application Layer

In this podcast, Daniel Bryant spoke to Joseph Jacks, Founder of OSS Capital and the Open Core Summit, and discussed topics including the open source and open core models, innovations within open source hardware and the RISC-V instruction set architecture, and current opportunities for disruption using commercial open source software.

Victor Dibia on TensorFlow.js and Building Machine Learning Models with JavaScript

Victor Dibia is a research engineer with Cloudera’s Fast Forward Labs. On today’s podcast, Wes Reisz and Victor Dibia talk about the realities of building machine learning in the browser. The two discuss the capabilities, limitations, process, and realities around using TensorFlow.js.

Michelle Krejci on Moving to Microservices: Visualising Technical Debt, Kubernetes, and GraphQL

In this podcast, Daniel Bryant spoke to Michelle Krejci, service engineer lead at Pantheon, about the Drupal and Wordpress webops-based company’s move to a microservices architecture.