Scaling Python with Ray
Adventures in Cloud and Serverless Patterns
Published on 13. December 2022
Book
Paperback/Softback
250 pages
978-1-0981-1880-8 (ISBN)
Description
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
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
More details
Language
English
Place of publication
Sebastopol
United States
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 233 mm
Width: 177 mm
Thickness: 16 mm
Weight
474 gr
ISBN-13
978-1-0981-1880-8 (9781098118808)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Holden Karau | Boris Lublinsky
Scaling Python with Ray
E-Book
11/2022
O'Reilly
€50.49
Available for download
Holden Karau | Boris Lublinsky
Scaling Python with Ray
E-Book
11/2022
O'Reilly
€50.49
Available for download
Persons
Holden Karau is a queer transgender Canadian, Apache Spark committer, Apache Software Foundation member, and an active open source contributor. As a software engineer, she's worked on a variety of distributed computing, search, and classification problems at Apple, Google, IBM, Alpine, Databricks, Foursquare, and Amazon. She graduated from the University of Waterloo with a bachelor of mathematics in computer science. Outside of software, she enjoys playing with fire, welding, riding scooters, eating poutine, and dancing.