How to JBoss

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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Security, security, security. My colleague Anil Saldhana is delivering a webinar on security this Thursday. Anil is the man behind PicketLink. You can expect to learn about federated identity and single sign on (SSO) in addition to securing applications, application components, and application servers.
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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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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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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. [...]

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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I came across an article discussing NoSQL and partition tolerance.

The NoSQL Partition Tolerance Myth (link)

I may not entirely agree with the author.

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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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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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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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