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Data Grids & CAP

May 15, 2013

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How does the CAP Theorem apply to JBoss Data Grid (JDG)?

CAP Theorem

The CAP theorem asserts that any net­worked shared-data system can have only two of three desirable properties.

  • Consistent
  • Available
  • Partition Tolerant

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To the Moon

April 17, 2013

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Last week HP released the HP ProLiant Moonshot Server based on the HP Moonshot 1500 Chassis (link). Two things occurred to me: it has an awesome name, it’s an ideal platform for distributed systems.

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Data Grid Performance Factors

April 16, 2013

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The technical white paper that I wrote on JBoss Data Grid performance factors is now available for download.

It details the performance impact of configuration options in three basic configurations: distributed (XA) transactions, local (auto-commit) transactions, and no transactions.

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Garbage Collector Performance Comparison

April 10, 2013

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For the Red Hat / Intel webinar on big data and JBoss Data Grid (JDG), I executed a performance test against JBoss Data Grid with RadarGun on dedicated Intel hardware. Prior to executing the performance test, I executed a scaled down version of it with a number of garbage collector configurations including the new G1 collector. […]

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JBoss Data Grid 6.1 Release & Webinar

April 8, 2013

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Red Hat released JBoss Data Grid 6.1 today, and on Wednesday Manik Surtani and I are delivering a webinar on it. We will briefly introduce JBoss Data Grid and the following new features. We will then cover cross site replication architectures and the rolling upgrade process in detail.

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Boost performance with Red Hat JBoss Data Grid and Intel

March 5, 2013

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This afternoon Tony Hamilton, Enterprise Marketing Manager for Big Data & Analytics, and I will be giving a webinar on Big Data and data grids.

Please join us as we cover everything from recent Red Hat / Intel announcements to the components of Big Data solutions to hybrid Big Data / data grid architectures.

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Application Performance Management with JON & RTI

February 28, 2013

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RTI (RootCause Transaction Instrumentation) is an APM (Application Performance Management) solution for Red Hat’s JBoss Middleware stack. RTI handles profiling, alerting & deep dive diagnostics and can be used across the software lifecycle. RTI is a fully integrated plug in to JBoss Operations Network. JON tells you when a problem occurs, RTI will tell you more – like where, how long and why.

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The Attack of Oracle Guest

February 25, 2013

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Last October I published a post that identified the features that both JBoss Data Grid and Oracle Coherence provide (link). My goal was to establish a baseline for the features that a data grid should provide. It was not to state that one data grid was better than the other. Little did I know an Oracle employee would respond by attacking Red Hat, its engineers, and myself.

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The Abstraction of Apache Hadoop

February 21, 2013

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I think Apache Hadoop is more or less synonymous with Big Data, but in what context?

Is it Apache Hadoop as in the framework?
Is it Apache Hadoop as in the platform?

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Supercharge Your Web Applications Using JBoss Data Grid

February 5, 2013

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A few weeks ago, on January 16, Divya Mehra and I have delivered a webinar on using the JBoss Data Grid for improving the scalability and performance of web applications. As expected, the webinar has elicited a lot of questions, not all of which could be answered in the allotted time. As they were really interesting though we are trying to answer them here, also for the benefit of a larger audience.

You can watch the webinar here and download it from here.

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