
This book describes warehouse-scale computers (WSCs), the computing platforms that power cloud computing and all the great web services we use every day. It discusses how these new systems treat the datacenter itself as one massive computer designed at warehouse scale, with hardware and software working in concert to deliver good levels of internet service performance. The book details the architecture of WSCs and covers the main factors influencing their design, operation, and cost structure, and the characteristics of their software base. Each chapter contains multiple real-world examples, including detailed case studies and previously unpublished details of the infrastructure used to power Google's online services. Targeted at the architects and programmers of today's WSCs, this book provides a great foundation for those looking to innovate in this fascinating and important area, but the material will also be broadly interesting to those who just want to understand the infrastructure powering the internet. The third edition reflects four years of advancements since the previous edition and nearly doubles the number of pictures and figures. New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime.
I would also mention "The Datacenter as a Computer: designing warehouse-scale machines". https://research.google/pubs/the-datacenter-as-a-computer-de...
[0] https://research.google/pubs/the-datacenter-as-a-computer-an...
Fun to consider that boxes under one top-of-rack switch can hold dozens of TB of RAM and hundreds of TB of Flash with latency measured in µs between them. There's legitimately interesting space in between writing code for a single machine and code for huge, spread-out clusters of thousands of boxes.
https://www.morganclaypool.com/doi/abs/10.2200/S00874ED3V01Y...