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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 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.

Java (Computer program language). --- Programming languages (Electronic computers). --- Cloud Computing. --- Java. --- Programming Language. --- Electronic data processing --- Web services --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial --- Object-oriented programming languages --- JavaSpaces technology --- Distributed processing --- Cloud computing. --- Subroutines (Computer programs) --- Functions (Computer programs) --- Methods (Computer programs) --- Procedures (Computer programs) --- Routines (Computer programs) --- Subprograms (Computer programs) --- Computer programs

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Algebras, Linear --- FORTRAN (Computer program language) --- Subroutines (Computer programs) --- Algèbre linéaire --- FORTRAN (Langage de programmation) --- Sous-programmes (Logiciels) --- Data processing --- Informatique --- LAPACK --- Data processing. --- -FORTRAN (Computer program language) --- #TELE:SISTA --- 519.6 --- 681.3*G13 --- 681.3*G4 --- Functions (Computer programs) --- Methods (Computer programs) --- Procedures (Computer programs) --- Routines (Computer programs) --- Subprograms (Computer programs) --- Computer programs --- Formula Translation (Computer program language) --- Programming languages (Electronic computers) --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Mathematical software: algorithm analysis; certification and testing; efficiency; portability; reliability and robustness; verification --- FORTRAN (Computer program language). --- Subroutines (Computer programs). --- 681.3*G4 Mathematical software: algorithm analysis; certification and testing; efficiency; portability; reliability and robustness; verification --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Algèbre linéaire --- LAPACK. --- ScaLAPACK --- Scalable linear albegra package --- Scalable LAPACK --- Analyse numérique. --- Numerical analysis --- Langages de programmation --- Algebras, Linear - Data processing. --- Systeme lineaire --- Analyse numérique.