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A10 Networks offers app delivery and load balancing for Amazon EC2 users

28 Nov 2012
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A10 Networks has developed a virtual Application Delivery Controller (ADC) for deployment on Amazon's EC2 cloud computing platform, providing load balancing and application acceleration capabilities for firms moving application workloads to the public cloud.

Currently in the early availability phase, SoftAX for AWS is due for general release in January, and is set to provide customers with advanced capabilities not available in freeware or basic load balancers, according to the firm.

SoftAX for AWS is a development of A10's existing SoftAX virtual appliance aimed at private cloud environments, which already supports VMware, Citrix XenServer and KVM environments.

In turn, this was developed to offer the same capabilities as A10's AX series of physical ADC appliances, but with greater deployment flexibility.

These capabilities include Layer 4-7 load balancing, application acceleration and security features, providing the ability to rapidly scale application delivery performance to meet demand.

SoftAX for AWS also includes A10's aFleX scripting tool for advanced Layer 7 traffic management with deep packet inspection, plus health monitoring features.

"We are seeing an increased demand from customers and prospects to offer a version of our popular SoftAX virtual appliance on both Amazon EC2 and virtual private cloud to ensure fast, secure and flexible cloud deployments," said A10 Networks chief executive Lee Chen.

Pricing for A10's SoftAX for AWS starts at £4,682, with pay-per-use options also on offer following general availability, the firm said.

Customers can register for a trial of SoftAX for AWS from A10's website.

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Daniel Robinson

Daniel Robinson is technology editor at V3, and has been working as a technology journalist for over two decades. Dan has served on a number of publications including PC Direct and enterprise news publication IT Week. Areas of coverage include desktops, laptops, smartphones, enterprise mobility, storage, networks, servers, microprocessors, virtualisation and cloud computing.

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