What We Learned Dissecting the World's Most Popular Containers

Explore the complex world of container images in this 34-minute conference talk from Strange Loop 2022. Dive into the findings of Ayse Kaya and her team at Slim.AI as they analyze over 100 of the most popular public container images using open source tools. Discover the vast opportunities for scaling in Kubernetes, along with potential security and productivity risks. Examine data, visualizations, and insights generated from their research, highlighting the paradox in software supply chain practices. Learn about the surprising complexity of even small, special-purpose containers, which may contain thousands of packages, libraries, and licenses, as well as critical vulnerabilities. Discuss the trade-offs between "developer experience" and "production readiness," and consider ways to improve industry practices. Gain valuable insights from Ayse Kaya, an MIT Sloan School of Management graduate and experienced data scientist, as she shares her expertise in container analysis and software supply chain management.

"What We Learned Dissecting the World's Most Popular Containers" by Ayse Kaya (Strange Loop 2022)