Learning Dapr

• Verfasst von: Bai, Haishi [VerfasserIn]
• Verfasst von: Schneider, Yaron [VerfasserIn]
• Titel: Learning Dapr
• Institutionen: Safari, an O'Reilly Media Company. [MitwirkendeR]
• Verf.angabe: Bai, Haishi
• Ausgabe: 1st edition
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: O'Reilly Media, Inc.
• Jahr: 2020
• Umfang: 1 online resource (200 pages)
• Fussnoten: Online resource; Title from title page (viewed September 25, 2020)
• ComputerInfo: Mode of access: World Wide Web.
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Electronic books ; local
• K10plus-PPN: 1702675831
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m3691319130
• Lokale URL Inst.: Zum Volltext

Abstract

Get the authoritative guide on Dapr, the new distributed programming model that works with existing and new 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, 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.