Book Overview & Buying
Table Of Contents

Jakarta EE Cookbook - Second Edition

By : Moraes

5 (2)

Buy this Book

Jakarta EE Cookbook

5 (2)

By: Moraes

Buy this Book

Overview of this book

Jakarta EE is widely used around the world for developing enterprise applications for a variety of domains. With this book, Java professionals will be able to enhance their skills to deliver powerful enterprise solutions using practical recipes. This second edition of the Jakarta EE Cookbook takes you through the improvements introduced in its latest version and helps you get hands-on with its significant APIs and features used for server-side development. You'll use Jakarta EE for creating RESTful web services and web applications with the JAX-RS, JSON-P, and JSON-B APIs and learn how you can improve the security of your enterprise solutions. Not only will you learn how to use the most important servers on the market, but you'll also learn to make the best of what they have to offer for your project. From an architectural point of view, this Jakarta book covers microservices, cloud computing, and containers. It allows you to explore all the tools for building reactive applications using Jakarta EE and core Java features such as lambdas. Finally, you'll discover how professionals can improve their projects by engaging with and contributing to the community. By the end of this book, you'll have become proficient in developing and deploying enterprise applications using Jakarta EE.

Preface

Who this book is for

What this book covers

To get the most out of this book

Sections

Get in touch

New Features and Improvements

Running your first Jakarta Bean Validation 2.0 code

Running your first Jakarta CDI 2.0 code

Running your first JAX-RS 2.1 code

Running your first JSF 2.3 code

Running your first JSON-P 1.1 code

Running your first JSON-B 1.0 code

Running your first Jakarta Servlet 4.0 code

Running your first Jakarta Security code

Running your first MVC 1.0 code

Free Chapter

Server-Side Development

Using Jakarta CDI to inject context and dependencies

Using Jakarta Bean Validation for data validation

Using Jakarta Servlet for request and response management

Using Server Push to make objects available beforehand

Using EJB and JTA for transaction management

Using EJB to deal with concurrency

Using JPA for smart data persistence

Using EJB and JPA for data caching

Using Jakarta Batch processing

Building Powerful Services with JSON and RESTful Features

Building server-side events with JAX-RS

Improving service's capabilities with JAX-RS and Jakarta CDI

Easing data and objects representation with Jakarta JSON Binding

Parsing, generating, transforming, and querying JSON objects using Jakarta JSON Processing

Web and Client-Server Communication

Using servlets for request and response management

Building a UI with template features using JSF

Improving response performance with Server Push

Security of the Enterprise Architecture

Domain protection with authentication

Granting rights through authorization

Protecting data confidentiality and integrity with SSL/TLS

Using declarative security

Using programmatic security

Reducing Coding Effort by Relying on Standards

Preparing your application to use a connection pool

Using messaging services for asynchronous communication

Understanding a servlet's life cycle

Transaction management

Deploying and Managing Applications on Major Jakarta EE Servers

Understanding Apache TomEE

Eclipse GlassFish

Red Hat WildFly

Building Lightweight Solutions Using Microservices

Building microservices from a monolith

Building decoupled services

Building an automated pipeline for microservices

Determining the state of a microservice by using the MicroProfile Health Check API

Generating and/or monitoring metrics with the MicroProfile Metrics API

Exposing API documentation using the MicroProfile OpenAPI

Using Multithreading on Enterprise Context

Building asynchronous tasks with returning results

Using transactions with asynchronous tasks

Checking the status of asynchronous tasks

Building managed threads with returning results

Scheduling asynchronous tasks with returning results

Using injected proxies for asynchronous tasks

Using Event-Driven Programming to Build Reactive Applications

Building reactive applications using asynchronous servlets

Building reactive applications using events and observers

Building reactive applications using WebSocket

Building reactive applications using message-driven beans

Building reactive applications using Jakarta RESTful Web Services

Building reactive applications using asynchronous session beans

Using lambdas and CompletableFuture to improve reactive applications

Rising to the Cloud - Jakarta EE, Containers, and Cloud Computing

Building Jakarta EE containers using Docker

Using Oracle Cloud Infrastructure for container orchestration in the cloud

Using Jelastic for container orchestration in the cloud

Using OpenShift for container orchestration in the cloud

Using AWS for container orchestration in the cloud

Other Books You May Enjoy

Leave a review - let other readers know what you think

Appendix - The Power of Sharing Knowledge

Introduction

Why contributing to the Adopt a JSR program can make you a better professional

The secret to unsticking your career, your project, and even your life!

Preparing your application to use a connection pool

One of the first things we should learn in our lives, after feeding, is how to use a connection pool – especially when we are talking about databases. That's the case here.

Why? Because a connection opened with a database is costly in terms of the resources used for it. If we look closely at the process of opening a new connection, we see that it uses a lot of CPU resources, for example.

Maybe it won't make much of a difference if you have two users using a database with a couple of registers in a few tables. But it can start causing trouble if you have dozens of users, or if the database is large and gives you sleepless nights when you have hundreds of users using a huge database.

Actually, I myself saw in the early days of J2EE 1.3 (the year was 2002) a performance issue being solved by a connection pool in...

Tech Concepts

Programming languages

Tech Tools