Holden Karau,Boris Lublinsky
Scaling Python with Ray: Adventures in Cloud and Serverless Patterns
Scaling Python with Ray: Adventures in Cloud and Serverless Patterns
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Serverless computing allows developers to focus on their applications without worrying about deployment. This book covers distributed processing, workflow management, advanced data processing, microservices, and reliable Ray applications, ideal for software architects and developers.
Format: Paperback / softback
Length: 250 pages
Publication date: 13 December 2022
Publisher: O'Reilly Media
Serverless computing is a revolutionary technology that empowers developers to focus solely on their applications, without the burden of worrying about their deployment. By leveraging the Ray general-purpose serverless implementation in Python, programmers and data scientists can seamlessly hide servers, implement stateful applications, facilitate direct communication between tasks, and access powerful hardware accelerators. In this comprehensive book, authored by Holden Karau and Boris Lublinsky, experts in software architecture, readers will discover how to scale existing Python applications and pipelines, ensuring resilience and avoiding single points of failure. Whether your data processing demands have surpassed the capabilities of a single computer, this book is your invaluable guide. Written by experienced software architecture practitioners, Scaling Python with Ray is a must-read for software architects and developers seeking to explore successful case studies and gain deeper insights into decision and measurement effectiveness. Covering distributed processing, workflow management, batch and streaming, advanced data processing, microservices, and reliable Ray applications, this book provides a comprehensive roadmap for building robust and scalable serverless systems. By harnessing the power of Ray, developers can unlock new levels of efficiency, scalability, and flexibility, enabling them to deliver exceptional applications that meet the ever-growing demands of their users.
Dimension: 233 x 178 (mm)
ISBN-13: 9781098118808
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