Dan Moore, cofounder of Vaporware, talks with host Adam Conrad about building software in-house versus buying off-the-shelf software from vendors. Moore explains the benefits, drawbacks, checklists, and frameworks for choosing when to build your own...
Rich Harris, author of the Javascript module bundler Rollup, discusses with SE Radio’s Adam Conrad his Javascript framework Svelte as a high-performance alternative to mainstay frameworks such as React, Angular, and Vue. They begin with a...
Jeremy Miller, Senior Software Architect at Calavista Software, compares and contrasts his experiences with waterfall and agile methodologies. Host Jeff Doolittle spoke with Miller about the history of these methodologies and which elements of them...
Adar Lieber-Dembo from Cloudera discusses Apache Kudu, which is a columnar data storage system for fast analytics and fast ingestion of large datasets. Kudu takes its inspiration from systems in the Hadoop ecosystem, but it addresses many of their...
Barry O’Reilly of Black Tulip Technology discusses Antifragile Architecture, an approach for designing systems that actually improve in the face of complexity and disorder. Host Jeff Doolittle spoke with O’Reilly about the characteristics of...
Chris McCord, author of the Phoenix Framework and Programming Phoenix 1.4, discusses Phoenix’s LiveView functionality to showcase the power of real-time applications without the need for writing a single line of JavaScript. Host Adam Conrad spoke...
Jay Kreps, CEO of Confluent discusses an enterprise integration architecture organized around an event log. Robert Blumen spoke with Jay about the N-squared problem of data integration; how LinkedIn tried and failed to solve the integration...
Stephen Wolfram, creator of Mathematica and Wolfram Alpha discusses the wolfram language, which is behind both projects. Host Adam Gordon Bell spoke with Stephen Wolfram about computing, computational essays, building a language, notebook-based...
Jeremy Howard from fast.ai explains deep learning from concept to implementation. With transfer learning, individuals and small organizations can quickly get to work on machine learning problems using the open source fastai library and desktop...