{"product_id":"scaling-python-with-ray-adventures-in-cloud-and-serverless-patterns","title":"Scaling Python with Ray","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.\n\nIn 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.\n\nWritten 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:\nImplement stateful applications with Ray actors\nBuild workflow management in Ray\nUse Ray as a unified platform for batch and streaming\nImplement advanced data processing with Ray\nApply microservices with Ray platform\nImplement reliable Ray applications","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":54205391208792,"sku":null,"price":65.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781098118808_ed3316e2-392b-4363-b5e1-3f3fe7f5c612.jpg?v=1777090570","url":"https:\/\/agendabookshop.com\/products\/scaling-python-with-ray-adventures-in-cloud-and-serverless-patterns","provider":"Agenda Bookshop","version":"1.0","type":"link"}