Modern App Dev

Custom policies in Red Hat 3scale API Management, Part 1: Overview

Custom policies in Red Hat 3scale API Management, Part 1: Overview

API management platforms such as Red Hat 3scale API Management provide an API gateway as a reverse proxy between API requests and responses. In this stage, most API management platforms optimize the request-response pathway and avoid introducing complex processing and delays. Such platforms provide minimal policy enforcement such as authentication, authorization, and rate-limiting. With the proliferation of API-based integrations, however, customers are demanding more fine-tuned capabilities.

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Introducing the Red Hat build of Eclipse Vert.x 4.0

Introducing the Red Hat build of Eclipse Vert.x 4.0

If you are interested in reactive, non-blocking, and asynchronous Java development, you are likely familiar with Eclipse Vert.x. The project started in 2011 and successfully moved to the Eclipse Foundation in 2013. Since then, Vert.x has undergone nine years of rigorous development and grown into a thriving community. It is one of the most widely used reactive frameworks, with support for multiple extensions, including extensions for messaging or streaming with Kafka or Artemis, developing applications with gRPC and GraphQL, and so much more.

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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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Building modern CI/CD workflows for serverless applications with Red Hat OpenShift Pipelines and Argo CD, Part 1

Building modern CI/CD workflows for serverless applications with Red Hat OpenShift Pipelines and Argo CD, Part 1

A recent article, The present and future of CI/CD with GitOps on Red Hat OpenShift, proposed Tekton as a framework for cloud-native CI/CD pipelines, and Argo CD as its perfect partner for GitOps. GitOps practices support continuous delivery in hybrid, multi-cluster Kubernetes environments.

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Build a data streaming pipeline using Kafka Streams and Quarkus

Build a data streaming pipeline using Kafka Streams and Quarkus

In typical data warehousing systems, data is first accumulated and then processed. But with the advent of new technologies, it is now possible to process data as and when it arrives. We call this real-time data processing. In real-time processing, data streams through pipelines; i.e., moving from one system to another. Data gets generated from static sources (like databases) or real-time systems (like transactional applications), and then gets filtered, transformed, and finally stored in a database or pushed to several other systems for further processing. The other systems can then follow the same cycle—i.e., filter, transform, store, or push to other systems.

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Quarkus and Jakarta EE: Together, or not?

Quarkus and Jakarta EE: Together, or not?

In this article, I answer a question that I have seen asked on various forums: Will Quarkus be compatible with Jakarta EE? To understand our answer to that question, it is helpful to know the history of Quarkus and what we’re trying to achieve with it. So, please indulge me while I lay that groundwork.

A short history of Quarkus and Java EE

When Emmanuel Bernard, Jason Greene, Bob McWhirter, and I first discussed kicking off the ThornFly.x proof of concept, which would later become Quarkus, we had conversations about where Java EE (now Jakarta EE) would eventually fit. I think we all agreed that we already had the best open source implementation of Java EE in the form of WildFly and Red Hat JBoss Enterprise Application Platform (JBoss EAP). Creating yet another addition to this space seemed confusing at best. At worst, we feared that it would split our engineering and open source community efforts.

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Migrate your Java apps to containers with Migration Toolkit for Applications 5.0

Migrate your Java apps to containers with Migration Toolkit for Applications 5.0

As a developer, you have probably experimented with Kubernetes. It’s also possible that you are already running several Java applications on a Kubernetes platform, maybe Red Hat OpenShift. These initial containerized applications were greenfield projects, where you enjoyed the benefits of a platform providing templated deployments, easy rollbacks, resource availability, security by default, and a manageable way to publish your services.

Now, you might be thinking, “How can I enjoy all of these benefits in my existing Java applications?” Most Java applications in production today are running on virtual machines (VMs), likely on an application platform that is not container friendly. So, how can you migrate them from the current platform to containers on Kubernetes?

It isn’t an easy task, but this is a problem that we have been working hard on for years. Red Hat’s Migration Toolkit for Applications (MTA) 5.0 is the latest resulting iteration: An assembly of tools that you can use to analyze existing applications and discover what is required to modernize them. Read on to learn MTA 5.0’s features and migration paths.

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Red Hat Runtimes brings Vert.x and Dekorate to Spring Boot 2.2.6

Red Hat Runtimes brings Vert.x and Dekorate to Spring Boot 2.2.6

The latest update to Red Hat Runtimes features support for Spring Boot 2.2.6, along with the Dekorate project and Spring Reactive. Together, these technologies are a boost for developers building Spring-based applications on the Red Hat OpenShift Container Platform. In this article, I present the highlights of this update.

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