Quarkus

Supersonic, Subatomic gRPC services with Java and Quarkus

Supersonic, Subatomic gRPC services with Java and Quarkus

gRPC is an open source remote procedure call (RPC) framework. It was released by Google in 2015 and is now an incubating project within the Cloud Native Computing Foundation. This post introduces gRPC while explaining its underlying architecture and how it compares to REST over HTTP. You’ll also get started using Quarkus to implement and consume gRPC services.

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Build embedded cache clusters with Quarkus and Red Hat Data Grid

Build embedded cache clusters with Quarkus and Red Hat Data Grid

There are many ways to configure the cache in a microservices system. As a rule of thumb, you should use caching only in one place; for example, you should not use the cache in both the HTTP and application layers. Distributed caching both increases cloud-native application performance and minimizes the overhead of creating new microservices.

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Analyze monolithic Java applications in multiple workspaces with Red Hat’s migration toolkit for applications

Analyze monolithic Java applications in multiple workspaces with Red Hat’s migration toolkit for applications

Transforming monolithic Java applications into distributed, cloud-native microservices is never easy, but Red Hat’s migration toolkit for applications helps you understand and evaluate the migration path. As a developer, you can apply the following features to a broad range of transformation use cases:

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Spring Boot to Quarkus migrations and more in Red Hat’s migration toolkit for applications 5.1.0

Spring Boot to Quarkus migrations and more in Red Hat’s migration toolkit for applications 5.1.0

Red Hat’s migration toolkit for applications (previously known as Red Hat Application Migration Toolkit) has reached version 5.1.0. This version includes user interface improvement, the new migration toolkit for applications Operator, and new rules to support development teams migrating from Spring Boot to Quarkus.

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Cloud-native modernization or death? A false dichotomy

Cloud-native modernization or death? A false dichotomy

DevNation Tech Talks are hosted by the Red Hat technologists who create our products. These sessions include real solutions plus code and sample projects to help you get started. In this talk, you’ll learn about cloud-native modernization from Daniel Oh and Burr Sutter.

Are you familiar with the tight coupling of applications with their underlying platform that makes change hard? Or, coupling that creates a lack of scalability, performance, and flexibility for existing applications built with legacy technology? How about the fact that re-architecting applications cannot be done overnight?

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How I built a serverless blog search with Java, Quarkus, and AWS Lambda

How I built a serverless blog search with Java, Quarkus, and AWS Lambda

DevNation Tech Talks are hosted by the Red Hat technologists who create our products. These sessions include real solutions plus code and sample projects to help you get started. In this talk, you’ll learn about serverless blog search with Java, Quarkus, and AWS Lambda from Gunnar Morling and Burr Sutter.

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New features in Red Hat CodeReady Studio 12.17 GA and JBoss Tools 4.17.0 Final for Eclipse 2020-09

New features in Red Hat CodeReady Studio 12.17 GA and JBoss Tools 4.17.0 Final for Eclipse 2020-09

JBoss Tools 4.17.0 and Red Hat CodeReady Studio 12.17 for Eclipse 4.17 (2020-09) are now available. For this release, we focused on improving Quarkus and container-based development and fixing bugs. We also updated the Hibernate Tools runtime provider and Java Developer Tools (JDT) extensions, which are now compatible with Java 15. Additionally, we made many changes to platform views, dialogs, and toolbars in the user interface (UI).

Keep reading for an overview of what’s new in JBoss Tools 4.17.0 and CodeReady Studio 12.17 for Eclipse 4.17 (2020-09).

Installation

First, let’s look at how to install these updates. CodeReady Studio (previously Red Hat Developer Studio) comes with everything pre-bundled in its installer. Download the installer from the Red Hat CodeReady Studio product page and run it as follows:

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Securely connect Quarkus and Red Hat Data Grid on Red Hat OpenShift

Securely connect Quarkus and Red Hat Data Grid on Red Hat OpenShift

The release of Red Hat Data Grid 8.1 offers new features for securing applications deployed on Red Hat OpenShift. Naturally, I wanted to check them out for Quarkus. Using the Quarkus Data Grid extension made that easy to do.

Data Grid is an in-memory, distributed, NoSQL datastore solution based on Infinispan. Since it manages your data, Data Grid should be as secure as possible. For this reason, it uses a default property realm that requires HTTPS and automatically enforces user authentication on remote endpoints. As an additional layer of security on OpenShift, Data Grid presents certificates signed by the OpenShift Service Signer. In practice, this means that Data Grid is as secure as possible out of the box, requiring encrypted connections and authentication from the first request. Data Grid generates a default set of credentials (which, of course, you can override), but unauthenticated access is denied.

In this article, I show you how to configure a Quarkus application with Data Grid and deploy it on OpenShift.

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Building modern CI/CD workflows for serverless applications with Red Hat OpenShift Pipelines and Argo CD, Part 2

Building modern CI/CD workflows for serverless applications with Red Hat OpenShift Pipelines and Argo CD, Part 2

In the first half of this article, I introduced Tekton as a framework for cloud-native CI/CD pipelines, and Argo CD as its perfect partner for GitOps on Red Hat OpenShift. Our example for the demonstration is a Knative service that deploys and serves a Quarkus application. Our goal is to develop a complete continuous integration and delivery process, which begins when a commit is initiated in the application’s GitHub repository and ends with the new application version deployed in the development, staging, and production environments.

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