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

From the big data hype to Kubernetes

About 10 years ago, the biggest buzz in the IT industry was the term big data. Every major enterprise was racing to harness the mystical powers of massive, yet supposedly manageable, silos of data. Equipped with big data, no problem would prove insurmountable, and all forecasts would be met.

But lately, these forecasts appear to have faded, and the worst-kept secret in the IT industry is that big data is dead – at least as we knew it. This doesn't mean that the volume or growth of data has broken down – or the opposite. It's just the underlying technology that has changed, which means that the architectures of applications that use big data have too.

Take Hadoop as an example, which has been the icon of the big data hype. It was designed based on a set of assumptions that dramatically changed in a short time. One of...