Book Image

Hands-On Cloud-Native Applications with Java and Quarkus

By : Francesco Marchioni
Book Image

Hands-On Cloud-Native Applications with Java and Quarkus

By: Francesco Marchioni

Overview of this book

Quarkus is a new Kubernetes-native framework that allows Java developers to combine the power of containers, microservices, and cloud-native to build reliable applications. The book is a development guide that will teach you how to build Java-native applications using Quarkus and GraalVM. We start by learning about the basic concepts of a cloud-native application and its advantages over standard enterprise applications. Then we will quickly move on to application development, by installing the tooling required to build our first application on Quarkus. Next, we’ll learn how to create a container-native image of our application and execute it in a Platform-as-a-Service environment such as Minishift. Later, we will build a complete real-world application that will use REST and the Contexts and Dependency injection stack with a web frontend. We will also learn how to add database persistence to our application using PostgreSQL. We will learn how to work with various APIs available to?Quarkus?such as Camel, Eclipse MicroProfile, and Spring DI. Towards the end, we will learn advanced development techniques such as securing applications, application configuration, and working with non-blocking programming models using Vert.x. By the end of this book, you will be proficient with all the components of Quarkus and develop-blazing fast applications leveraging modern technology infrastructure.
Table of Contents (15 chapters)
Free Chapter
Section 1: Getting Started with Quarkus
Section 2: Building Applications with Quarkus
Section 3: Advanced Development Tactics

Streaming messages with Apache Kafka

Apache Kafka ( is a distributed data streaming platform that can be used to publish, subscribe, store, and process streams of data from multiple sources in real time at amazing speeds.

Apache Kafka can be plugged into streaming data pipelines that distribute data between systems, and also into the systems and applications that consume that data. Since Apache Kafka reduces the need for point-to-point integrations for data sharing, it is a perfect fit for a range of use cases where high throughput and scalability are vital.

Additionally, once you combine Kafka with Kubernetes, you attain all the benefits of Kafka, as well as the advantages of Kubernetes, such as the following:

  • Scalability and high availability: You can easily scale up and down resources with Kubernetes, which means you can automatically determine the...