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Learning Dapr : Building Distributed Cloud Native Applications by Haishi Bai and Yaron Schneider (2020, Trade Paperback)

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Format: Paperback or Softback. Publication Date: 9/14/2020. Condition Guide. ISBN: 9781492072423. Your source for quality books at reduced prices. Item Availability.

About this product

Product Identifiers

PublisherO'reilly Media, Incorporated

ISBN-101492072427

ISBN-139781492072423

eBay Product ID (ePID)10050401848

Product Key Features

Number of Pages250 Pages

LanguageEnglish

Publication NameLearning Dapr : Building Distributed Cloud Native Applications

Publication Year2020

SubjectSystems Architecture / Distributed Systems & Computing, Cloud Computing, Programming / Open Source, General

TypeTextbook

Subject AreaMathematics, Computers

AuthorHaishi Bai, Yaron Schneider

FormatTrade Paperback

Dimensions

Item Height0.5 in

Item Weight13.5 Oz

Item Length9.2 in

Item Width7.3 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2021-443717

Dewey Edition23

IllustratedYes

Dewey Decimal004.67/82 005.3

SynopsisGet the authoritative guide to Dapr, the distributed application runtime that works with new and existing programming languages alike. Written by the model's creators, this introduction shows you how Dapr not only unifies stateless, stateful, and actor programming models but also runs everywhere-in the cloud or on the edge. Authors Haishi Bai and Yaron Schneider with Microsoft's Azure CTO team explain that, with Dapr, you don't need to include any SDKs or libraries in your user code. Instead, you automatically get flexible binding, state management, the actor pattern, pub-sub, reliable messaging, and many more features. This book shows developers, architects, CIOs, students, and computing enthusiasts how to get started with Dapr. Learn the new programming model for cloud native applications Write high-performance distributed applications without drilling into technical details Use Dapr with any language or framework to write microservices easily Learn how Dapr provides consistency and portability through open APIs and extensible, community-driven components Explore how Dapr handles state, resource bindings, and pub-sub messaging to enable resilient event-driven architectures that scale Integrate cloud applications with various SaaS offerings, such as machine learning, Get the authoritative guide to Dapr, the distributed application runtime that works with new and existing programming languages alike. Written by the model's creators, this introduction shows you how Dapr not only unifies stateless, stateful, and actor programming models but also runs everywhere--in the cloud or on the edge. Authors Haishi Bai and Yaron Schneider with Microsoft's Azure CTO team explain that, with Dapr, you don't need to include any SDKs or libraries in your user code. Instead, you automatically get flexible binding, state management, the actor pattern, pub-sub, reliable messaging, and many more features. This book shows developers, architects, CIOs, students, and computing enthusiasts how to get started with Dapr. Learn the new programming model for cloud native applications Write high-performance distributed applications without drilling into technical details Use Dapr with any language or framework to write microservices easily Learn how Dapr provides consistency and portability through open APIs and extensible, community-driven components Explore how Dapr handles state, resource bindings, and pub-sub messaging to enable resilient event-driven architectures that scale Integrate cloud applications with various SaaS offerings, such as machine learning

LC Classification NumberQA76.585