HP HPE Aruba Networking C-Port 6300 24G L3 Managed Rack-mountable Switch
Price Tracked On This Product
Highest price was seen £2,812.97 on 15 Aug 2024
Lowest price was seen £2,499.97 on 14 Aug 2024
Average price is £2,499.97 base on 2 price changes
Most recent price is £2,812.97
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Description
Aruba JL668A CX 6300 Series 24-Port Gigabit SwitchThe Aruba JL668A CX 6300 Series 24-Port Layer 3 Managed Rackmount Gigabit Switch is a modern flexible and intelligent stackable switch ideal for enterprise network access aggregation core and data centre top of rack (ToR) deployments. Created for game-changing operational efficiency with built-in security and resiliency the JL668A switch provides the foundation for high-performance networks supporting IoT mobile and cloud applications. Aruba Gen7 ASIC architectureA powerful Aruba Gen7 ASIC architecture delivers performance and robust feature support with flexible programmability for tomorrow’s applications. The Aruba Virtual Stacking Framework (VSF) allows for stacking of up to ten (10) switches providing scale and simplified management. This flexible series has built-in wirespeed 1/10/25/50GbE uplinks. HPE Smart Rate multi-gigabit Ethernet paves the way for high speed access points and IoT devices by delivering fast connectivity and high power PoE using existing cabling. Aruba Dynamic SegmentationAruba Dynamic Segmentation extends Aruba’s foundational wireless role-based policy capability to Aruba wired switches. What this means is that the same security user experience and simplified IT management can be enjoyed throughout the network. Regardless of how users and IoT devices connect consistent policies are enforced across wired and wireless networks keeping traffic secure and separate. AOS-CX - a modern operating systemThe Aruba CX 6300 Switch Series is based on AOS-CX a modern database-driven operating system that automates and simplifies many critical and complex network tasks. A built-in time series database enables customers and developers to utilise software scripts for historical troubleshooting as well as analysis of past trends. This helps predict and avoid future problems due to scale security and performance bottlenecks..
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