Bookbot

Josh Long

    Cloud Native Java
    Spring Recipes - Second Edition
    Spring Recipes
    • Spring Recipes

      A Problem-Solution Approach - Third Edition

      • 828 páginas
      • 29 horas de lectura

      This third edition builds on the success of previous editions, focusing on the latest features of the Spring Framework for enterprise Java applications. It offers code recipes covering various aspects of Spring, including fundamentals like the IoC container and AOP, as well as enterprise solutions such as Java EE integration, Spring Integration, Batch, jBPM, and cloud technologies like Hadoop and MongoDB. The web section includes Spring MVC, Web Flow, Roo, and integration with Grails and REST services. The book provides step-by-step guidance with complete, real-world code examples, allowing you to copy and modify code and configuration files for your projects, saving significant time. You'll learn to develop with core Spring concepts, create web services, build web clients, and integrate with social media and mobile apps. Additionally, it covers Spring Data, Batch, NoSQL, and big data integration, along with transaction management, messaging, testing, caching, and application security. Targeted at Java developers seeking hands-on experience with Java/Java EE development using Spring, it also serves as a valuable reference for those already using Spring in their projects, with practical code examples throughout.

      Spring Recipes
      3,5
    • Spring Recipes - Second Edition

      • 1148 páginas
      • 41 horas de lectura

      The Spring framework is growing. It has always been about choice. Java EE focused on a few technologies, largely to the detriment of alternative, better solutions. When the Spring framework debuted, few would have agreed that Java EE represented the best-in-breed architectures of the day. Spring debuted to great fanfare, because it sought to simplify Java EE. Each release since marks the introduction of new features designed to both simplify and enable solutions. With version 2.0 and later, the Spring framework started targeting multiple platforms. The framework provided services on top of existing platforms, as always, but was decoupled from the underlying platform wherever possible. Java EE is a still a major reference point, but it’s not the only target. OSGi (a promising technology for modular architectures) has been a big part of the SpringSource strategy here. Additionally, the Spring framework runs on Google App Engine. With the introduction of annotation-centric frameworks and XML schemas, SpringSource has built frameworks that effectively model the domain of a specific problem, in effect creating domain-specific languages (DSLs). Frameworks built on top of the Spring framework have emerged supporting application integration, batch processing, Flex and Flash integration, GWT, OSGi, and much more.

      Spring Recipes - Second Edition
    • Cloud Native Java

      Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry

      • 648 páginas
      • 23 horas de lectura

      What separates the traditional enterprise from the likes of Amazon, Netflix, and Etsy? Those companies have refined the art of cloud native development to maintain their competitive edge and stay well ahead of the competition. This practical guide shows Java/JVM developers how to build better software, faster, using Spring Boot, Spring Cloud, and Cloud Foundry. Many organizations have already waded into cloud computing, test-driven development, microservices, and continuous integration and delivery. Authors Josh Long and Kenny Bastani fully immerse you in the tools and methodologies that will help you transform your legacy application into one that is genuinely cloud native. In four sections, this book takes you through: The Basics: learn the motivations behind cloud native thinking; configure and test a Spring Boot application; and move your legacy application to the cloud Web Services: build HTTP and RESTful services with Spring; route requests in your distributed system; and build edge services closer to the data Data Integration: manage your data with Spring Data, and integrate distributed services with Spring's support for event-driven, messaging-centric architectures Production: make your system observable; use service brokers to connect stateful services; and understand the big ideas behind continuous delivery

      Cloud Native Java