Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. In this book, experienced software architecture practitioners Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while reducing single points of failure and manual scheduling. Scaling Python with Ray is ideal for software architects and developers eager to explore successful case studies and learn more about decision and measurement effectiveness. If your data processing or server application has grown beyond what a single computer can handle, this book is for you. You'll explore distributed processing (the pure Python implementation of serverless) and learn how
I'll keep this short - it's a very good book on technology that isn't covered by many books ... So yeah, you know what to do. You've got pretty much everything here - the composition is proper, the sequence of learning makes sense, and the scenarios covered are as varying as Ray allows. Examples are quite good - one can definitely see a lot of effort put into the book.
What did I miss? Well, maybe I wasn't focused enough - but I don't think the introduction has "sold" the technology (Ray) to me properly. Well, in general, it's not supposed to do so, BUT it should at least capture its uniqueness (what makes it specific), and its idiomatic qualities/properties - I've missed that here completely. That has kind of discouraged me from getting through the book faster - that's why it took me so much time to read it.
That also has one additional, interesting side effect - after learning the basics (first few chapters), in fact, I wasn't convinced I was doing things (with Ray) the correct way. I mean - it all worked, but I didn't have the feeling "it clicked according to the design principles of Ray creators". And I think that the book is at least partially to be blamed here.
Nevertheless, it's a very good book & I don't mind recommending it to anyone who'd like to learn Ray. Good stuff. 4.5-4.7 stars.