Denise Yu, Pivotal
Distributed systems are known for being notoriously difficult to wrangle. But why? This talk will cover a brief history of distributed computing, clear up some common myths about the CAP theorem, dig into why network partitions are inevitable, and closeout by highlighting how a few popular consensus algorithms mitigate the risks of operating in a distributed fashion. We'll also take a look at how to design systems for greater adaptability by human factors, which can help reduce the impact of programmatic uncertainty.
Denise Yu, Pivotal
Denise is a Senior Software Engineer at Pivotal who occasionally wears a product management hat. Denise has previously delivered conference talks on topics ranging from continuous delivery to functional programming to scaling company culture. She enjoys learning about distributed systems, release engineering, and low-level Linux kernel programming, and when she's not coding, she is often doodling sketch notes that break down technical concepts into digestible pieces at deniseyu.io/art.
Open Access Media
USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.
author = {Denise Yu},
title = {Why Are Distributed Systems So Hard?},
year = {2019},
address = {Portland, OR},
publisher = {USENIX Association},
month = oct
}