Common Software, Data, and AI Architectures and the Ways They Fail

This tutorial will examine the complexity that lives in software systems, data ingestion workflows, MLOps pipelines, and artificial intelligence systems. This session blends together cloud architecture, quality assurance, risk management, and security mindsets as Matt Eland explores how modern systems are structured, the problems their complexity helps us solve, and the ways these systems can break - or be broken. The session will alternate between interactive lectures with practical illustrations and group exercises around case studies as you explore how existing systems can fail and what you can do to expose those failure points and defend against them. By the time the tutorial is done you'll have a deeper appreciation for the systems you work with, how to resist failures in these systems, and things to keep in mind as you're revising and expanding the structure of existing systems and designing new ones.