JDG

Transitioning Red Hat SSO to a highly-available hybrid cloud deployment

Transitioning Red Hat SSO to a highly-available hybrid cloud deployment

About two years ago, Red Hat IT finished migrating our customer-facing authentication system to Red Hat Single Sign-On (Red Hat SSO). As a result, we were quite pleased with the performance and flexibility of the new platform. Due to some architectural decisions that were made in order to optimize for uptime using the technologies at our disposal, we were unable to take full advantage of Red Hat SSO’s robust feature set until now. This article describes how we’re now addressing database and session replication between global sites.

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

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.

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

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.

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DevNation 2016: Galder Zamarreno on “Building reactive applications with Node.js and Red Hat JBoss Data Grid”

DevNation sneak peek is a behind-the-scenes preview of sessions and information that will take place at DevNation 2016. Sign up for DevNation at www.devnation.org. Learn more. Code more. Share more. Join the Nation.

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