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Scaling Python with Ray

Adventures in Cloud and Serverless Patterns

Holden Karau, Boris Lublinsky
Livre broché | Anglais
74,45 €
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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, 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

Spécifications

Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
266
Langue:
Anglais

Caractéristiques

EAN:
9781098118808
Date de parution :
03-01-23
Format:
Livre broché
Format numérique:
Trade paperback (VS)
Dimensions :
175 mm x 231 mm
Poids :
439 g

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