Enabling LDAP Security for DataGrid Cache

Expanding on Tristan’s blog, where he spoke of enabling security for JBoss Data Grid caches, in this post we will cover how to add LDAP based security to the JDG caches. The principles and techniques remain defined by Tristan, but there are some minor changes that I will be highlighting in this blog for a successful working configuration of JDG enabled with LDAP security.

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Develop and Deploy on OpenShift Next-Gen using Red Hat JBoss Developer Studio

The OpenShift Next-Gen platform is available for evaluation: visit https://console.preview.openshift.com/. It is based on Red Hat OpenShift Container Platform 3.4. This preview allows you to play with OpenShift Container Platform 3.4 and deploy artifacts. The evaluation is limited to one month. The purpose of the article is to describe how to use Red Hat JBoss Developer Studio or JBoss Tools together with this online platform.

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For more information about Red Hat OpenShift and other related topics, visit: OpenShift, OpenShift Online.

Offload your database data into an in-memory data grid for fast processing made easy

An in-memory data grid is a distributed data management platform for application data that:

  • Uses memory (RAM) to store information for very fast, low-latency response time, and very high throughput.
  • Keeps copies of that information synchronized across multiple servers for continuous availability, information reliability, and linear scalability.
  • Can be used as distributed cache, NoSQL database, event broker, compute grid, and Apache Spark data store.

The technical advantages of an in-memory data grid (IMDGs) provide business benefits in the form of faster decision-making, greater productivity, and improved customer engagement and experience.

Continue reading “Offload your database data into an in-memory data grid for fast processing made easy”


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External materialized views demystified in Red Hat JBoss Data Virtualization and Red Hat JBoss Data Grid

Red Hat JBoss Data Virtualization (JDV) provides several capabilities for caching data including: materialized views, result set caching, and code table caching. These techniques can be used to significantly improve performance in many situations.

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Reorder your Camel components graphically with Fuse Tooling 9.1.0

Red Hat JBoss Fuse is an open source, lightweight and modular integration platform that allows you to connect services and systems across your entire application portfolio. And if you’re familiar with Fuse, you’re probably familiar with the Fuse Tooling that comes with Red Hat JBoss Developer Studio.

Continue reading “Reorder your Camel components graphically with Fuse Tooling 9.1.0”


Download and learn more about Red Hat JBoss Fuse, an innovative modular, cloud-ready architecture, powerful management and automation, and world class developer productivity. It is Java™ EE 7 certified and features powerful, enterprise-grade features such as high availability clustering, distributed caching, messaging, transactions, and a full web services stack.

How to start development of Camel routes based on Fuse Integration Services from Fuse Tooling

Red Hat JBoss Fuse is an open source, lightweight and modular integration platform that allows you to connect services and systems across your entire application portfolio. And if you’re familiar with Fuse, you’re probably familiar with the Fuse Tooling that comes with Red Hat JBoss Developer Studio. The Red Hat JBoss Fuse Integration Service (FIS) is the product provided to ease Red Hat JBoss Fuse deployment on OpenShift.

Continue reading “How to start development of Camel routes based on Fuse Integration Services from Fuse Tooling”


Download and learn more about Red Hat JBoss Fuse, an innovative modular, cloud-ready architecture, powerful management and automation, and world class developer productivity. It is Java™ EE 7 certified and features powerful, enterprise-grade features such as high availability clustering, distributed caching, messaging, transactions, and a full web services stack.

Getting started with OpenShift Java S2I

Introduction

The OpenShift Java S2I image, which allows you to automatically build and deploy your Java microservices, has just been released and is now publicly available. This article describes how to get started with the Java S2I container image, but first, let’s discuss why having a Java S2I image is so important.

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For more information about Red Hat OpenShift and other related topics, visit: OpenShift, OpenShift Online.

Announcing Fuse for agile integration on the cloud – FIS 2.0 release

Today, I am very pleased to announce the GA of Fuse Integration Service 2.0. This release will make integration applications more portable, flexible and allow agile developers to react faster to business needs by supporting microservice architectures. Developers will now be able to realize the benefits of microservices within integration projects and be able to leverage integration patterns while breaking up monolithic applications and reducing the size of services pushed onto older ESB technology.

With FIS 2.0, developers can now choose a more suitable technology for the composition and integration of microservices,  with a more lightweight runtime providing for faster deployment, while simplifying packaging and ensuring a smoother process from development to production, as well as allowing management of the distributed application and taking care of fault tolerance all at the same time.

Continue reading “Announcing Fuse for agile integration on the cloud – FIS 2.0 release”


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Download and learn more about Red Hat JBoss Fuse, an innovative modular, cloud-ready architecture, powerful management and automation, and world class developer productivity. It is Java™ EE 7 certified and features powerful, enterprise-grade features such as high availability clustering, distributed caching, messaging, transactions, and a full web services stack.

Unlock your Red Hat JBoss Data Grid data with Red Hat JBoss Data Virtualization

Welcome to another episode of the series: “Unlock your Red Hat JBoss Data Grid (JDG) data with Red Hat JBoss Data Virtualization (JDV).”

This post will guide you through an example of connecting to Red Hat JBoss Data Grid data source, using Teiid Designer. In this example, we will demonstrate connecting to a local JDG data source.  We’re using the JDG 6.6.1, but you can connect to any local or remote JDG source (version 6.6.1) if you wish, using the same steps.

Continue reading “Unlock your Red Hat JBoss Data Grid data with Red Hat JBoss Data Virtualization”


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