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Synopsis
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
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos des auteurs
Haishi Bai, works at Microsoft Azure's CTO office and leads various cloud innovation projects. He is an experienced developer and architect with more than 30 years of programming experience. He's also a passionate educator who has published eight cloud computing books. He also volunteers at high schools teaching programming languages.
Yaron Schneider is a principal software engineer on Microsoft's Azure CTO team.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Learning Dapr: Building Distributed Cloud Native Applications
Edité par
O'Reilly Media, 2020
ISBN 10 : 1492072427
ISBN 13 : 9781492072423
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Learning Dapr
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Learning Dapr
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Paperback. Etat : New. 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, both 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 applicationsWrite high-performance distributed applications without drilling into technical detailsUse Dapr with any language or framework to write microservices easilyLearn how Dapr provides consistency and portability through open APIs and extensible, community-driven componentsExplore how Dapr handles state, resource bindings, and pub-sub messaging to enable resilient event-driven architectures that scaleIntegrate cloud applications with various SaaS offerings, such as machine learning. N° de réf. du vendeur LU-9781492072423
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Learning Dapr: Building Distributed Cloud Native Applications (Paperback or Softback)
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ISBN 10 : 1492072427
ISBN 13 : 9781492072423
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Learning Dapr
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Paperback. Etat : New. 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, both 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 applicationsWrite high-performance distributed applications without drilling into technical detailsUse Dapr with any language or framework to write microservices easilyLearn how Dapr provides consistency and portability through open APIs and extensible, community-driven componentsExplore how Dapr handles state, resource bindings, and pub-sub messaging to enable resilient event-driven architectures that scaleIntegrate cloud applications with various SaaS offerings, such as machine learning. N° de réf. du vendeur LU-9781492072423
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Learning Dapr: Building Distributed Cloud Native Applications
Edité par
O'Reilly Media, 2020
ISBN 10 : 1492072427
ISBN 13 : 9781492072423
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Learning Dapr: Building Distributed Cloud Native Applications
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Learning Dapr
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Paperback. Etat : New. 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, both 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 applicationsWrite high-performance distributed applications without drilling into technical detailsUse Dapr with any language or framework to write microservices easilyLearn how Dapr provides consistency and portability through open APIs and extensible, community-driven componentsExplore how Dapr handles state, resource bindings, and pub-sub messaging to enable resilient event-driven architectures that scaleIntegrate cloud applications with various SaaS offerings, such as machine learning. N° de réf. du vendeur LU-9781492072423
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