Event-driven computing with Red Hat JBoss Data Grid

The convergence of Mobile, Social, Big Data, and Cloud has placed increasing demands on today’s applications to react instantaneously to changes in data at a large scale. A delay of a few seconds can mean the difference between engaging or losing a customer for a retailer, increased liquidity or fraud risk for a financial institution, or escalation of an adverse occurrence in a manufacturing process or IoT network.

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JBoss EAP – Spearheading OSS adoption

There are a few Open Source technologies and products that have spearheaded the drive of Open Source  into the enterprise and managed to overcome historical objections  – Linux, Apache Web Server, MySQL, Postgres, WordPress, Hadoop, to name some of the better known technologies. Those technologies paved the way for the open source revolution of the last decade; every enterprise vendor and every organization has adopted open source to some degree. Open Source has won; get over it.

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In-Memory Performance and Elastic Scale Data Management as a Cloud Service

Today we announced three new Red Hat JBoss Middleware services on OpenShift based on JBoss Fuse, JBoss BRMS, and JBoss Data Grid.

Performance and Scalability for Cloud Applications

With cloud computing, businesses expect and demand that their applications deliver higher performance, availability, reliability, flexibility, and scalability than ever before. But the influx of data is creating new obstacles that make it difficult for applications to meet the demands and expectations.

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