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1. |
Record Nr. |
UNINA9910637737703321 |
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Autore |
Parasuraman Banu |
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Titolo |
Practical Spring Cloud Function : Developing Cloud-Native Functions for Multi-Cloud and Hybrid-Cloud Environments / / by Banu Parasuraman |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (355 pages) |
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Disciplina |
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Soggetti |
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Cloud computing |
Subroutines (Computer programs) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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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