Openshift - это решение PaaS, основанное на Docker и Kubernetes. В этой статье вы узнаете, как установить Openshift Origin менее чем за 5 минут и развернуть свой первый Java-приложение к нему.
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On March 07, 2019 Red Hat & the JBoss Community announced Quarkus. It is a Java framework that enables ultra low boot times and tiny memory footprint for applications and services. It does that by taking advantage of GraalVM's native compilation capabilities to produce an executable out of your Java code. Why is this considered to be a game changer ? In this article I will give my view and first impressions on this framework as someone who spends a bit of time writing applications and services. I will get my hands dirty by building a working Quarkus + Apache Camel example.
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When using Apache Camel with Quarkus as of today, we are limited number of Camel connectors. One important one being the Apache Kafka connector. The Kafka connector provided through the Smallrye Kafka Extension is available for Quarkus though. So in this article, I will show how to wire Smallrye Kafka connector and Camel together. We will also be using the camel-servlet component to reuse the undertow http endpoint provided by Quarkus and to spice things up a little we will use the XML DSL of Camel. All of this will be natively compiled in the end.
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Building Integration and Services platform with JBoss Fuse is great. It is even better when you add a distributed in memory data base solution such as JBoss Data Grid to the mix. This article will show how to make both technologies work together using the camel-jbossdatagrid component. We will go through the setup of a JBoss Data Grid server with persistence and see how to use it in a JBoss Fuse application through the remote Hot Rod client. Furthermore we will see how to take advantage of Protocol buffers and Lucene to index data and perform content based queries.
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Openshift offers a whole pipeline to create container images directly from source code. It is usable for general purpose Java applications as well as for Fuse Integration Service projects. This post will present how to accelerate the build time of those images by setting up a local Nexus Repository and configuring application templates to use this repository for the build process. The idea is not having to download from the Internet all the FIS maven dependencies when building a new project. At the time of writing FIS 2.0 is available as tech preview.
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Service and api platforms are mostly real time oriented and handle small amounts of data that can be easily processed in memory. But for many legacy purposes and for content management systems, being able to handle large sets of data is a very common requirement. This article shows how to easily send and receive large data files through HTTP with JBoss Fuse using streams. The main objective of being able to use streams is to avoid running into out of memory issues.
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Most integration/service platform projects start small but need to ensure high availability requirements and be scalable to handle growing workloads. This article shows how to use Ansible to automatically provision servers with JBoss Fuse and JBoss ActiveMQ instances to get a highly available service and messaging platform.
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In this post you will learn how to create a RESTful microservice from scratch using Spring-Boot, Eclipse & Maven.
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Many organisations are now facing a challenge when it comes to choosing and setting up the right messaging infrastructure. It must be able to scale and handle massive parallel connections. This challenge often emerges with IoT & Big Data projects where a massive number of sensors are potentially connected to produce messages that need to be processed and stored. This post explains how to address this challenge using the concept of network brokers in JBoss Active MQ.
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