Aruba » Calendar

May 2012

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Aruba Networks Airwave Demo

Aruba Networks Airwave Demo

May 7, 2012 // 10:30am - 11:30am CST

AirWave is a powerful and easy to use network operations solution designed to manage the Aruba Networks portfolio or WLAN, remote access, and Mobile Virtual Enterprise (MOVE) access solutions.

Register Here!

Topics will include a Live Demo featuring:
• Airwave Overview
• Live troubleshooting exercise
• Custom Reporting
• Rogue and Wireless Intrusion Prevention
• Maps and location tracking
• Device FingerPrinting

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Aruba Networks AOS Licensing and Quoting

Aruba Networks AOS Licensing and Quoting

May 14, 2012 // 10:30am - 11:30am CST

As an Aruba Networks Partner, understanding Aruba OS (AOS) licensing is key for quickly creating customer quotes. This 60 minute presentation will introduce Aruba Partners to AOS licensing for access points and advanced features as well as providing a live demonstration of Aruba’s quote tool.

Register here

Topics will include:
• Introduction to Aruba licensing model
• Example scenarios
• Building a quote in the Aruba Web-based quote tool (BigMachines)
• Quote Management (viewing and sending quotes)
• Helpful tips

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Aruba Networks VisualRF Plan RF Site Planner

Aruba Networks VisualRF Plan RF Site Planner

May 21, 2012 // 10:30am - 11:30am CST

A picture is worth a thousand words when it comes to planning a new wireless network!

Register Here!

Topics will include:

• Introduction to Visual RF Plan
• Importing Floor plans
• Provisioning AP’s for predictive planning
• Fine tuning RF plan post-provisioning
• Manually adding walls
• Exporting an RF Plan to a customer facing document.
• Exporting an RF Plan for another user running Visual RF Plan to import and manipulate.

Aruba Network’s VisualRF Plan site planning tool enables our partners, and end-users, to quickly plan Wi-Fi deployments by importing building floor plans, identifying areas where Wi-Fi coverage is needed, and selecting the desired Access Point. VisualRF Plan does the rest by automatically placing AP’s then generating a predictive RF heat- map based on the selected building materials.

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