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.

Continue reading “Develop and Deploy on OpenShift Next-Gen using Red Hat JBoss Developer Studio”


Join Red Hat Developers, a developer program for you to learn, share, and code faster – and get access to Red Hat software for your development.  The developer program and software are both free!

 


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”


Join Red Hat Developers, a developer program for you to learn, share, and code faster – and get access to Red Hat software for your development.  The developer program and software are both free!

 

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.

Unlock your Microsoft Excel data with Red Hat JBoss Data Virtualization

After Unlock your MariaDB/MySQL data, Unlock your PostgreSQL data, and Unlock your Hadoop data with Hortonworks episodes, let’s continue the journey with this new episode of the series: “Unlock your [….] data with Red Hat JBoss Data Virtualization.” Through this blog series, we will look at how to connect Red Hat JBoss Data Virtualization (JDV) to different and heterogeneous data sources.

JDV is a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. It makes data spread across physically diverse systems — such as multiple databases, XML files, and Hadoop systems — appear as a set of tables in a local database. By providing the following functionality, JDV enables agile data use:

  1. Connect: Access data from multiple, heterogeneous data sources.
  2. Compose: Easily combine and transform data into reusable, business-friendly virtual data models and views.
  3. Consume: Makes unified data easily consumable through open standards interfaces.

It hides complexities, like the true locations of data or the mechanisms required to access or merge it. Data becomes easier for developers and users to work with.

This post will guide you step-by-step on how to connect JDV to a Microsoft Excel spreadsheet using Teiid Designer and the Microsoft Excel translator. A translator acts as the bridge between JBoss Data Virtualization and an external system. The Microsoft Excel translator provides a quick and easy way to read a Microsoft Excel spreadsheet and provides contents of the spreadsheet in the tabular form that can be integrated with other sources.

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


Join Red Hat Developers, a developer program for you to learn, share, and code faster – and get access to Red Hat software for your development.  The developer program and software are both free!

 

Unlock your PostgreSQL data with Red Hat JBoss Data Virtualization

And here we go for another episode of the series: “Unlock your [….] data with Red Hat JBoss Data Virtualization.” Through this blog series, we will look at how to connect Red Hat JBoss Data Virtualization (JDV) to different and heterogeneous data sources.

JDV is a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. It makes data spread across physically diverse systems — such as multiple databases, XML files, and Hadoop systems — appear as a set of tables in a local database. By providing the following functionality, JDV enables agile data use:

  1. Connect: Access data from multiple, heterogeneous data sources.
  2. Compose: Easily combine and transform data into reusable, business-friendly virtual data models and views.
  3. Consume: Makes unified data easily consumable through open standards interfaces.

It hides complexities, like the true locations of data or the mechanisms required to access or merge it. Data becomes easier for developers and users to work with. This post will guide you step-by-step on how to connect JDV to a PostgreSQL database using Teiid Designer. We will connect to a PostgreSQL database using the PostgreSQL JDBC driver.

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


Join Red Hat Developers, a developer program for you to learn, share, and code faster – and get access to Red Hat software for your development.  The developer program and software are both free!