Tabla de Contenidos: “…7.6.2 Automating Kubernetes manifests validation with GitHub Actions -- Summary -- Part 3 Cloud native distributed systems -- 8 Reactive Spring: Resilience and scalability -- 8.1 Asynchronous and non-blocking architectures with Reactor and Spring -- 8.1.1 From thread-per-request to event loop -- 8.1.2 Project Reactor: Reactive streams with Mono and Flux -- 8.1.3 Understanding the Spring reactive stack -- 8.2 Reactive servers with Spring WebFlux and Spring Data R2DBC -- 8.2.1 Bootstrapping a reactive application with Spring Boot -- 8.2.2 Persisting data reactively with Spring Data R2DBC -- 8.2.3 Implementing the business logic with reactive streams -- 8.2.4 Exposing a REST API with Spring WebFlux -- 8.3 Reactive clients with Spring WebClient -- 8.3.1 Service-to-service communication in Spring -- 8.3.2 Understanding how to exchange data -- 8.3.3 Implementing REST clients with WebClient -- 8.4 Resilient applications with Reactive Spring -- 8.4.1 Timeouts -- 8.4.2 Retries -- 8.4.3 Fallbacks and error handling -- 8.5 Testing reactive applications with Spring, Reactor, and Testcontainers -- 8.5.1 Testing REST clients with a mock web server -- 8.5.2 Testing data persistence with @DataR2dbcTest and Testcontainers -- 8.5.3 Testing REST controllers with @WebFluxTest -- Summary -- 9 API gateway and circuit breakers -- 9.1 Edge servers and Spring Cloud Gateway -- 9.1.1 Bootstrapping an edge server with Spring Cloud Gateway -- 9.1.2 Defining routes and predicates -- 9.1.3 Processing requests and responses through filters -- 9.2 Fault tolerance with Spring Cloud Circuit Breaker and Resilience4J -- 9.2.1 Introducing circuit breakers with Spring Cloud Circuit Breaker -- 9.2.2 Configuring a circuit breaker with Resilience4J -- 9.2.3 Defining fallback REST APIs with Spring WebFlux -- 9.2.4 Combining circuit breakers, retries, and time limiters…”

Tabla de Contenidos:

Tabla de Contenidos: “…16.6 Construction of the SEM -- 16.7 Factors Determining Image Quality -- 16.8 Summary -- 16.9 Exercises -- Appendix A: Process-Based Parallelism using Joblib -- A.1 Introduction to Process-Based Parallelism -- A.2 Introduction to Joblib -- A.3 Parallel Examples -- Appendix B: Parallel Programming using MPI4Py -- B.1 Introduction to MPI -- B.2 Need for MPI in Python Image Processing -- B.3 Introduction to MPI4Py -- B.4 Communicator -- B.5 Communication -- B.5.1 Point-to-Point Communication -- B.5.2 Collective Communication -- B.6 Calculating the Value of PI -- Appendix C: Introduction to ImageJ -- C.1 Introduction -- C.2 ImageJ Primer -- Appendix D: Matlab® and Numpy Functions -- D.1 Introduction -- Bibliography -- Index…”

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