
Sách Scaling Python with Ray Adventures in Cloud and Serverless Patterns (sách keo gáy, bìa mềm)
Categories:Computers - Programming
Year:2022
Edition:1st
Language:english
Pages:269
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 to:
• Implement stateful applications with Ray actors
• Build workflow management in Ray
• Use Ray as a unified system for batch and stream processing
• Apply advanced data processing with Ray
• Build microservices with Ray
• Implement reliable Ray applications