Live Webinar – February 23rd, 2012 1:00 pm – 2:00 PM EDT
Presented by: SD Times (Software Development Times)
Presented by: ScaleOut Software
Duration: 1 Hour + Q&A Credits: 1 PDU Category C – Free PDU

Scaling your application across server farms or virtual cloud environments presents new challenges. As workload increases, access to application data can become a significant bottleneck — and adding more servers won’t solve this problem.

Join ScaleOut Software and SDTimes for this one-hour webinar to learn how to address scalability challenges of your applications by using a distributed in-memory data grid (IMDG).

IMDGs, scale data storage capacity and access throughout so that applications can handle growing workloads and maintain fast performance. Storing application data in memory ensures fast access times and eliminates the need for inefficient trips to a database server.

Distributed in-memory data grids use integrated data replication to provide a safe, highly available repository for data, and then can be seamlessly extended to span multiple sites. IMDGs also enable fast query and parallel data analysis using the popular MapReduce programming model.

You and your team will learn how easy it is to integrate an in-memory data grid into your projects and why an IMDG should be a key component of your application strategy for scaling performance.

Topics covered:

• How distributed, in-memory data grids work to scale your applications’ performance
• How to achieve faster access times with distributed in-memory data grids than other “out-of-process” data storage solutions
• Why your data will not get lost even if a grid server fails
• How to integrate virtual and on-premise in-memory data grids across geographies
• How to quickly query and analyze data using an IMDG

Who Should Attend? This webinar is for everyone who has scalability challenges, and the technical content is appropriate for software architects, software developers and software design managers. You will see code samples and get a detailed, under-the-hood discussion of how to deploy distributed in-memory data grids.

Speaker: Dr. William L. Bain — (LinkedIn profile) is founder and CEO of ScaleOut Software, Inc. Bill has a Ph.D. in electrical engineering/parallel computing from Rice University, and he has worked at Bell Labs research, Intel, and Microsoft. Dr. Bain holds several patents in computer architecture and distributed computing.

PDU Category C documentation details:

Process Groups: Planning, Monitoring & Controlling

Knowledge Areas: 4 – Integration 6 – Time 8 – Quality

• 4.4 Monitor & Control Project Work
• 6.1 Define Activities
• 8.3 Perform Quality Control

As a Category C ‘Self Directed Learning Activity’ remember to document your learning experience and its relationship to project management for your ‘PDU Audit Trail Folder’

Click to register for Learn How To Scale App Performance In A Server Farm Or Computer Grid