SL Releases RTView for APM | Oracle Coherence Monitor Solution
Posted on July 28, 2010
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SL Releases RTView for APM | Oracle Coherence Monitor Solution
0 Comments | Wireless News, Jul 27, 2010
SL Corporation announced the introduction of its RTView for APM | Oracle Coherence Monitor solution which includes an enhancement for monitoring large and very large Oracle Coherence clusters, enabling a reduction in overhead on the cluster and problem identification and resolution.
According to SL, a new custom MBean available with the SL’s Oracle Coherence Monitor reduces the overhead associated with the standard JMX MBean collection process, speeding the monitoring interval to as low as 10 seconds for large Oracle Coherence clusters. More efficient monitoring means problem detection, alerting and resolution, further minimizing the impact of data grid issues on critical applications.
“For many Oracle Coherence customers, including online retailers, web sites, financial institutions and telecommunication companies, getting better visibility into their systems is crucial for understanding when a problem occurs, and for being able to prove that a system is truly running and performing as it was intended,” said Cameron Purdy, VP of development, Oracle. “SL has invested in providing higher visibility into Oracle Coherence data grids, and this latest release of RTView offers a solution to scale JMX data collection to higher levels than were previously possible.”
“Very large Coherence clusters are going mainstream as more customers gain confidence in Coherence and experience the benefits of data grids,” said Tom Lubinski, president and CEO of SL. “We collaborated with several customers who are running extremely large Coherence clusters to address this overhead problem.”
Due to its distributed nature, monitoring a large Coherence cluster can involve the collection of tens of thousands of individual, real-time data metrics using the JMX protocol. The metrics from each cluster member must all be collected and transferred at a single point in time to provide a consistent snapshot that accurately describes the state of the cluster
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