Containers and the intelligent application revolution

Description

What do containers have to do with AI? Linux containers are increasingly popular with application developers: they offer improved elasticity, fault tolerance, and portability between different public and private clouds, along with an unbeatable development workflow. Artificial intelligence and machine learning do not exist in a vacuum. Rather, we put them into production as components of intelligent applications, which learn from data to provide improved functionality to users. William Benton explains how container application frameworks provide profound value to intelligent applications.

William shares his expertise developing and deploying intelligent applications, including model training, serving, stream processing, and ETL, in Linux containers and Kubernetes. He covers what containers are and why you should care about them, whether you’re an application developer, an AI engineer, or a data scientist. You’ll learn the benefits of containerizing applications, contemporary architectures for analytic applications, and how to handle external data sources. You’ll also gain practical advice on how to ensure security and isolation, how to achieve high performance, and how to sidestep and negotiate potential challenges related to deploying JVM-based frameworks like Apache Spark or Apache Flink in resource-constrained environments. Throughout the talk, William offers concrete lessons about containerized analytic jobs ranging from interactive notebooks to production applications. You’ll leave inspired and ready to deploy high-performance intelligent applications without giving up the security you need or the developer-friendly workflow you want.