Saeed L. Pro Cloud-Native Java EE Apps. DevOps with MicroProfile,...2ed 2025

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Description
Textbook in PDF format Learn how to build and deploy Java-based cloud native apps with Jakarta EE with the MicroProfile framework and Kubernetes. This revamped Second Edition reflects the latest updates in Jakarta EE 11, including enhanced support for creating web APIs with Jakarta REST, concurrency management with Jakarta Concurrency, and data persistence with Jakarta Persistence, while incorporating key changes introduced by MicroProfile 7.0. After a quick overview of Jakarta EE and MicroProfile, Pro Cloud Native Java EE Apps starts you on your way by walking you through a cloud-native Jakarta EE-based application case study that will be forged piece-by-piece over the course of the book. Next, you'll interject dependencies and data persistence capabilities as microservices to go with the case study app that you are building. Then, you will dive into migrating a monolith to become a production-ready cloud-native app. Finally, you will look ahead to the future of Jakarta EE with a NEW chapter on Artificial Intelligence and large language models (LLMs), exploring potential use cases for how AI-integration can enhance Jakarta EE capabilities. This revised new edition ensures you are equipped with the most current tools and techniques to develop forward-looking, cloud-native apps. Enterprise Java has undergone a remarkable transformation since its inception. What began as a heavyweight platform designed for monolithic applications has evolved into a flexible, modular ecosystem perfectly suited for today's cloud-native world. This evolution reflects the changing needs of businesses and the technological shifts that have redefined how we build, deploy, and maintain enterprise applications. Jakarta EE, the successor to Java EE, stands at the center of this transformation. After Oracle transferred Java EE to the Eclipse Foundation in 2017, the platform was reborn with a renewed focus on innovation, community involvement, and adaptability to modern development paradigms. This transition marked more than a change in stewardship - it represented a fundamental shift in philosophy toward openness and agility. Beyond the current state of enterprise Java, we'll also look toward the horizon. The rise of Artificial Intelligence (AI) and large language models (LLMs) presents new opportunities and challenges for enterprise applications. How will Jakarta EE applications interact with AI services? How might Generative AI change the way we design and implement business logic? These questions point to exciting possibilities for the future of enterprise development. Introduction The Theory of Jakarta EE and MicroProfile Jakarta EE, Microservices, and the Cloud Architecting Enterprise Applications with Jakarta EE Managing Dependencies with CDI Persistence with Jakarta EE Persistence REST with Jakarta REST Managing Configurations Metrics for Jakarta EE Applications: Monitoring and Observability Taking a Pulse with Health Check Security with JWT Testing with TestContainers Jakarta EE Cloud-Native Deployment and Operations Monoliths, Moduliths, and Microservices with Jakarta EE: Architectural Patterns AI, LLMs, and Jakarta EE: The Next Frontier
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