Scaling Python with Ray: Adventures in Cloud and Serverless Patterns - Paperback
$65.99
Skip to product information
Scaling Python with Ray: Adventures in Cloud and Serverless Patterns - Paperback
$65.99
by Holden Karau (Author), Boris Lublinsky (Author)
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
Number of Pages: 266
Dimensions: 0.7 x 9.1 x 6.9 IN
Publication Date: January 03, 2023
Details
This product is crafted with quality materials to ensure durability and performance. Designed with your convenience in mind, it seamlessly fits into your everyday life.
Shipping & Returns
We strive to process and ship all orders in a timely manner, working diligently to ensure that your items are on their way to you as soon as possible.
We are committed to ensuring a positive shopping experience for all our customers. If for any reason you wish to return an item, we invite you to reach out to our team for assistance, and we will evaluate every return request with care and consideration.
