A01=Boris Lublinsky
A01=Holden Karau
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Author_Boris Lublinsky
Author_Holden Karau
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Category1=Non-Fiction
Category=UNF
COP=United States
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eq_computing
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Language_English
PA=Available
Price_€50 to €100
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Python serverless Scaling Python Python on Kubernetes Python on Lambda Python on AWS Python on Azure Full stack python
softlaunch
Product details
- ISBN 9781098118808
- Dimensions: 178 x 233mm
- Publication Date: 13 Dec 2022
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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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
