9781492072423-1492072427-Learning Dapr: Building Distributed Cloud Native Applications

Learning Dapr: Building Distributed Cloud Native Applications

ISBN-13: 9781492072423
ISBN-10: 1492072427
Edition: 1
Author: Haishi Bai, Yaron Schneider
Publication date: 2020
Publisher: O'Reilly Media
Format: Paperback 169 pages
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Book details

ISBN-13: 9781492072423
ISBN-10: 1492072427
Edition: 1
Author: Haishi Bai, Yaron Schneider
Publication date: 2020
Publisher: O'Reilly Media
Format: Paperback 169 pages

Summary

Learning Dapr: Building Distributed Cloud Native Applications (ISBN-13: 9781492072423 and ISBN-10: 1492072427), written by authors Haishi Bai, Yaron Schneider, was published by O'Reilly Media in 2020. With an overall rating of 4.0 stars, it's a notable title among other Cloud Computing (Networking & Cloud Computing) books. You can easily purchase or rent Learning Dapr: Building Distributed Cloud Native Applications (Paperback) from BooksRun, along with many other new and used Cloud Computing books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.15.

Description

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

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