Podcasts

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.

Bryan Liles on Making Kubernetes Easier for Developers, the CNCF, and “Serverless”

In this podcast, Daniel Bryant sat down with Bryan Liles, senior staff engineer at VMware. Topics covered included: the challenges with deploying applications into Kubernetes, using the open source Octant tool to increase a user’s understanding of Kubernetes clusters, and how “serverless” technologies may influence the future approaches to building 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.

Ryan Kitchens on Learning from Incidents at Netflix, the Role of SRE, and Sociotechnical Systems

In today’s podcast, we sit down with Ryan Kitchens, a senior site reliability engineer and member of the CORE team at Netflix. This team is responsible for the entire lifecycle of incident management at Netflix, from incident response to memorialising an issue.