Why Are Distributed Systems so Hard?

Explore the complexities of distributed systems in this 22-minute conference talk from GOTO Chicago 2020. Delve into the history of distributed computing, debunk common myths surrounding the CAP theorem, and understand why network partitions are inevitable. Learn about popular consensus algorithms and their role in mitigating risks associated with distributed operations. Gain insights into designing systems that account for human factors, potentially reducing the impact of programmatic uncertainty. Follow along as the speaker covers topics such as the fallacies of distributed computing, hardware failures, and software behavior in distributed environments. Enhance your understanding of software architecture, backend programming, and the challenges faced in managing complex distributed systems.

Intro
A long time ago, in a datacenter not too far away
What does it mean to run a distributed system?
8 fallacies of distributed computing
CAP Theorem
Hardware will fail, software will behave weirdly
Humans