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Learning Dapr (Building Distributed Cloud Native Applications)

List Price: $65.99
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9781492072423
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  • Product Details

    Author:
    Haishi Bai, Yaron Schneider
    Format:
    Paperback
    Pages:
    216
    Publisher:
    O'Reilly Media (September 29, 2020)
    Language:
    English
    ISBN-13:
    9781492072423
    ISBN-10:
    1492072427
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251022163324-20251022.xml
    Folder:
    TWO RIVERS
    List Price:
    $65.99
    As low as:
    $56.75
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Case Pack:
    18
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    12.48oz
    Imprint:
    O'Reilly Media
  • Overview

    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