Scaling Python with Ray

Adventures in Cloud and Serverless Patterns

Holden Karau, Boris Lublinsky (Autoren)

Buch | Softcover

250 Seiten

2022
O'Reilly Media (Verlag)
978-1-0981-1880-8 (ISBN)

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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, authors Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while avoiding single points of failure and manual scheduling. If your data processing has grown beyond what a single computer can handle, this book is for you.

Written by experienced software architecture practitioners, 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. This book covers distributed processing (the pure Python implementation of serverless) and shows you how to:
Implement stateful applications with Ray actors
Build workflow management in Ray
Use Ray as a unified platform for batch and streaming
Implement advanced data processing with Ray
Apply microservices with Ray platform
Implement reliable Ray applications

Erscheinungsdatum	13.12.2022
Verlagsort	Sebastopol
Sprache	englisch
Maße	178 x 233 mm
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
ISBN-10	1-0981-1880-4 / 1098118804
ISBN-13	978-1-0981-1880-8 / 9781098118808
Zustand	Neuware