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.

Josh Wills on Building Resilient Data Engineering and Machine Learning Products at Slack

Josh Wills, a software engineer working on data engineering problems at Slack, discusses the Slack data architecture and how they build and observe their pipelines.

Yuri Shkuro on Tracing Distributed Systems Using Jaeger

On this podcast, we talk with Yuri Shkuro, the creator of Jaeger, author of the book Mastering Distributed Tracing, and a software engineer at Uber, about how the Jaeger tracing backend implements the OpenTracing API to handle distributed tracing.