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Practical Spring Cloud functiondeveloping Cloud-Native functions for Multi-Cloud and Hybrid-Cloud environments /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Practical Spring Cloud functionby Banu Parasuraman.
其他題名:	developing Cloud-Native functions for Multi-Cloud and Hybrid-Cloud environments /
作者:	Parasuraman, Banu.
出版者:	Berkeley, CA :Apress :2023.
面頁冊數:	xviii, 346 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Cloud computing.
電子資源:	https://doi.org/10.1007/978-1-4842-8913-6
ISBN:	9781484289136$q(electronic bk.)

Practical Spring Cloud functiondeveloping Cloud-Native functions for Multi-Cloud and Hybrid-Cloud environments /
Parasuraman, Banu.

Practical Spring Cloud functiondeveloping Cloud-Native functions for Multi-Cloud and Hybrid-Cloud environments /[electronic resource] :by Banu Parasuraman. - Berkeley, CA :Apress :2023. - xviii, 346 p. :ill., digital ;24 cm.

1. Why Spring Cloud Function -- 2. Getting Started with Spring Cloud Function -- 3. Coding, testing, and deploying with Spring Cloud Function -- 4. Building Event Driven Data pipelines with Spring Cloud Function -- 5. AI/ML Trained Serverless Endpoints with Spring Cloud Function -- 6. Spring Cloud Function and IOT -- 7. Industry Examples with Spring Cloud Function.

Unlike other resources that target only programming communities, this book targets both programming and business communities. With programming models shifting more towards no-code and low-code, citizen programmers from the business side will welcome this book as a guide for how to design and optimize their information pipeline while lowering costs for infrastructure. Programmers, on the other hand, will welcome this book's business-centric programming view, which will get them a step closer to fulfilling real business requirements. Practical Spring Cloud Function touches on the themes of portability, scalability, high performance and high availability. Each theme is explored via a real enterprise use case and code. The use cases target industries including energy (oil pipeline sensors), automotive (event-driven connected vehicles), and retail (conversational AI) After reading this book, you'll come away with the know-how to build and deploy cloud-native Java applications effectively and efficiently. You will: Write functions and deploy to Amazon Web Services, Microsoft Azure, Google Cloud, IBM Cloud, and on-prem clouds such as VMWare Tanzu and RedHat OpenShift Set up locally with KNative on Kubernetes, as well as on AWS, Azure, GCP, Tanzu, and others Build, test, and deploy a simple example with Spring Cloud Function Develop an event-driven data pipeline with Spring Cloud Function Integrate with AI and machine learning models Apply Spring Cloud Function to the Internet of Things (IoT) Get industry-specific examples of Spring Cloud Function in action.

ISBN: 9781484289136$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-8913-6doiSubjects--Topical Terms:

378527
Cloud computing.

LC Class. No.: QA76.585 / .P37 2023

Dewey Class. No.: 004.6782

Practical Spring Cloud functiondeveloping Cloud-Native functions for Multi-Cloud and Hybrid-Cloud environments /
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520 $a Unlike other resources that target only programming communities, this book targets both programming and business communities. With programming models shifting more towards no-code and low-code, citizen programmers from the business side will welcome this book as a guide for how to design and optimize their information pipeline while lowering costs for infrastructure. Programmers, on the other hand, will welcome this book's business-centric programming view, which will get them a step closer to fulfilling real business requirements. Practical Spring Cloud Function touches on the themes of portability, scalability, high performance and high availability. Each theme is explored via a real enterprise use case and code. The use cases target industries including energy (oil pipeline sensors), automotive (event-driven connected vehicles), and retail (conversational AI) After reading this book, you'll come away with the know-how to build and deploy cloud-native Java applications effectively and efficiently. You will: Write functions and deploy to Amazon Web Services, Microsoft Azure, Google Cloud, IBM Cloud, and on-prem clouds such as VMWare Tanzu and RedHat OpenShift Set up locally with KNative on Kubernetes, as well as on AWS, Azure, GCP, Tanzu, and others Build, test, and deploy a simple example with Spring Cloud Function Develop an event-driven data pipeline with Spring Cloud Function Integrate with AI and machine learning models Apply Spring Cloud Function to the Internet of Things (IoT) Get industry-specific examples of Spring Cloud Function in action.
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