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Rehosting: As an example, porting an existing architecture as-is to run inside of a container.

But the "modernization" of any application depends on many aspects, and you can implement it in at least three ways:

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An experienced developer and architect knows how to evaluate functional and nonfunctional requirements for a given project. The difference between the monolithic and microservices-based approaches couldn't be more fundamental in terms of functional requirements. 3 approaches to application modernization: Rehost, replatform, refactor But this also brings development complexity to deal with, or at least requires a mind shift from traditional "legacy" models like monolithic applications to "modern" cloud-native, decoupled microservices-based applications.

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Some companies are leaping from monthly or even yearly software releases to potentially instantaneous releases-with great benefit for the business, as it gets products into the customers' hands faster. In the first part of the book, we revisit enterprise development, analyzing the challenges developers encounter when faced with fast-moving IT scenarios. The book cover for Modernizing Enterprise Java. We provide an analysis of various processes and frameworks and present an opinionated evolution of Java application development in enterprise-scale software, ready to support in heterogeneous, ubiquitous, large scale, and cloud-native environments where they run business-critical applications. Our new book Modernizing Enterprise Java ( O'Reilly), pictured in Figure 1, discusses how Java developers can move from traditional models toward modern approaches, including microservices-based, event-driven, cloud-native, and eventually serverless architectures with Kubernetes. This was demonstrated by the recent Long Time Support (LTS) release of Java 17, which provides improved support for modern architectures, such as container and microservices-based applications, and optimized footprints for edge computing. One of the main reasons for Java's success over time is its ability to evolve and adapt to new technologies and paradigms. It is backed by an open source ecosystem of contributors and a growing number of companies who rely on Java for their core business workloads. Java has been one of the most popular programming language choices for developers since its release 25 years ago. After reading and using Beginning Quarkus Framework, you'll have the essentials to build and deploy cloud-native microservices and full-fledged applications.Looking for a quick guide to migrating and modernizing your organization's Java-based applications? Modernizing Enterprise Java walks you through the journey.

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Lastly, you'll test and secure Quarkus-based code and use different deployment scenarios to package and deploy your Quarkus-based microservice for the cloud, using Amazon Web Services as a focus.

This will also give you an eye for efficiency with reactive SQL, microservices, and many more reactive components. You’ll also see tips and tricks not available in the official documentation for Quarkus. Next you’ll cover how data access works in Quarkus with Hibernate, JPA, Spring Boot, MongoDB, and more. You’ll also learn about dockerization and serverless technologies to deploy your microservice. The book continues with a dive into the dependency injection pattern and how Quarkus supports it, working with annotations and facilities from both Jakarta EE CDI and the Spring framework. You’ll see how to seamlessly add Quarkus to existing Spring framework projects. Next, you'll dive into building your first microservice using Quarkus, including the use of JAX-RS, Swagger, Microprofile, REST, reactive programming, and more. You’ll start with an overview of the Quarkus framework and its features.

This book covers everything you need to know to get started with the platform, which has been engineered from the ground up for superior performance and cloud-native deployment. Harness the power of Quarkus, the supersonic subatomic cloud-native Java platform from Red Hat.