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Zeus
Zeus Multi-Site Manager
Global Delivery of Web Applications with One Point of Control
Zeus Multi-Site Manager is an intergrated management solution that gives a coordinated view of your application delivery fabric, that may span multiple, geographically distributed, datacenters and cloud-based environments. Zeus Multi-Site Manager is fully intergrated with Zeus Traffic Manager, and so is easy to deploy.
Zeus Multi-Site Manager reduces risk and contains costs by enabling the use of multiple datacenters, including Cloud resources, and by routing and shaping web traffic and dynamically scaling applications to provide the capacity required by the current load.

Gain a global perspective of application performance and reliabilty across multiple locations, with detailed visualization and reporting to understand web traffic trends and manage user interactions in real-time.

Improve your service performance and availability using both global and local load balancing techniques, application acceleration capabilities and local web traffic management policies to priortize and secure traffic.

Organizations depend on Zeus to deliver complex applications in large-scale environments, spanning multiple protocols and services, in a reliable, highly-performant, secure manner.
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One Global Point of Control

Control configuration and traffic management policies across multiple geographic locations, including cloud resources, all from a single point – removing manual error and enabling an instant global responsive to situations.

One Global View of Performance

Gain a global perspective of application performance and reliability across multiple geographic locations, with detailed visualization and reporting to understand traffic trends and manage user interactions in real time.

Realize the Promise of Cloud

Use cloud resources to automatically burst capacity at peak times, autoscaling the compute resources your application needs up and down on-demand, even across multiple clouds, keeping your end-users satisfied while only paying for the instance hours of compute power used.

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