000			01926nam a22001937a 4500
008			220824b2020 |||||||| |||| 00| 0 eng d
020			_a9789385889264
082			_a005.3 BAI-H
100			_aBai, Haishi
245			_aLearning Dapr : _bbuilding distributed cloud native applications / _cHaishi Bai and Yaron Schneider
260			_aIndia _bShroff Publishers _c2020
300			_a169 p.
365			_aINR _b900.00.
500			_aGet 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 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.
650			_aCloud computing
650			_aApplication software--Development
650			_aApplication software--Development--Computer programs
700			_aSchneider, Yaron
999			_c80309 _d80309