Scaling Python with Ray: Adventures in Cloud and Serverless Patterns
Karau, Holden; Lublinsky, Boris
Language: English
Published by O'Reilly Media, 2023
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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In English.
Seller Inventory # ria9781098118808_new
- Title
- Scaling Python with Ray: Adventures in Cloud and Serverless Patterns
- Author
- Karau, Holden; Lublinsky, Boris
- Publisher
- O'Reilly Media
- Publication year
- 2023
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1098118804
- ISBN 13
- 9781098118808
- Item weight
- 594 grams
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
"Synopsis" may belong to another edition of this title.
About the Author
Boris Lublinsky is a Chief Architect for IBM's Discovery Accelerator Platform, where he specializes in Kubernetes, serverless, workflows, and complex systems design. Boris has over 30 years of experience in enterprise architecture and software development. He is the co-author of Applied SOA (Wiley), Professional Hadoop Solutions (Wiley), Serving Machine Learning Models (Oâ??Reilly), and Kubeflow for Machine Learning (Oâ??Reilly). He is also a contributor to several open-source projects. Boris is a frequent speaker at numerous industry conferences and co-founder of several Chicago user groups.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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