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Why High Performance Data Grids Need Sophisticated Monitoring Tools

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Evident ClearStone
Evident ClearStone Live
Evident Enterprise

Evident ClearStone Live for Oracle Coherence – Demo Webinar Recording

Are you embarking on a new Oracle Coherence project? Or do you currently have existing applications in pre-production or in production today that use Oracle Coherence? Is your grid running “blind” without proper real-time monitoring tools? Can you “see” the entire infrastructure in a way that pinpoints performance issues without having to wade through mountains of uncorrelated data? Will you pass your internal Production Readiness Checklist or operational risk reviews? These are some of the questions to consider for managing any high performance application using Oracle Coherence as a data grid.

If you are involved with mission critical, high performance, revenue generating applications like trading, risk, e-commerce, travel reservations, etc., then it becomes essential to have the right monitoring tools for the application and infrastructure – ones that can support both simple up/down dashboards and those that provide much more sophisticated analysis for architects and applications teams.

This Demo Webinar provides a compelling product demonstration that will provide you with a clear understanding as to why high performance data grids need sophisticated monitoring tools. The webinar took place on July 21, 2009, and is hosted by Ivan Ho, Evident Software’s Executive Vice President of Software Development. Ivan provides an overview and live demonstration of the new Release 3.4 Evident ClearStone Live product.

For easy viewing, the one-hour webinar recording is divided into six (6) approximately 10 min video clips:

Part 1 – Introduction/Overview
What is Evident ClearStone Live? Who should use it? What is the impact to the Data Grid? How does the software architecture scale? View Video
Length: 7:41, Size: 19.7MB

Part 2 – Cluster Summary, Events, and Cluster Dashboard
How do I know what is the overall status of my cluster? What is my total cluster memory capacity and how much is being used? Are any SEVERE or WARNING events occurring? View Video
Length: 9:54, Size: 21.6MB

Part 3 – Cache Dashboard, Sessions Charts, and Node Dashboard
What’s the level of activity for a named cache? How is the performance of one cache affected by other activity in the cluster? How many concurrent client sessions is being managed by each proxy node? What’s the memory utilization for a specific node? View Video
Length: 11:12, Size: 27.5MB

Part 4 – Node HeatMap, Node Logs, JVM Dashboard
Are my publisher and receiver success rate falling below a threshold? Is memory utilization consistent across the cluster? Are there any log messages that indicate ERROR or WARNING and where are those events occurring? What is the Garbage Collection (GC) overhead for a specific node and is it impacting performance? View Video
Length: 6:28, Size: 19.4MB

Part 5 – ChronoGraphs
For a specified cache, what was its activity and memory utilization for last week or last month? How does that past cache activity compare to what is happening now or in the last hour? Is there under or over provisioning of nodes in the cluster? View Video
Length: 7:52, Size: 17.7MB

Part 6 – Cache HeatMap and Questions and Answers (Q&A)
What caches have the largest memory utilization across the cluster? i.e. who are the biggest consumers? How are named caches distributed across the different nodes in a cluster? Which caches have the most objects? View Video
Length: 12:42, Size: 27.5MB