Visual UpTime Select enables you to successfully manage application performance from a network-wide point of view. By monitoring individual application flows or voice from one location to another, IT organizations can identify issues quicker, isolate where problems are occurring and resolve problems faster. As a clear point of demarcation, users can pinpoint if a problem is caused by the application, network or service provider.
Visual UpTime Select provides an industry-leading solution for enterprises with business-critical applications across multiple locations from two to 4,000 remote sites. The system has a proven return on investment by reducing business risk of lost revenue or incurred costs via improved MTTR, lowering the number of remote dispatches, reduction of trouble tickets and optimizing bandwidth and SLA requirements.
Visual UpTime Select is based on a modular architecture that enables enterprises to leverage software modules depending on their individual needs. Each module focuses on different characteristics for application and network performance management.
Select Advanced MPLS Package includes Service Summary, Network Troubleshooting, Back-in-Time, Traffic Capture & Class of Service.
Service Summary highlights a single, consolidated view of network health to effectively mange and troubleshoot network and application related performance issues.
Network Troubleshooting manages layer 1-3 performance in a real-time setting to problems that are currently occurring.
Back in Time looks "back in time" to manage and troubleshoot intermittent problems over the past two-weeks in an integrated, graphical view looking across Layers 1 through 7.
Class of Service (CoS) provides critical visibility for MPLS-based/private IP VPNs networks including monitoring IP subnet-to-IP subnet connectivity and CoS settings by applications and threshold.
Traffic Capture provides a full-function protocol analyzer at every site enabling IT staff to troubleshoot issues at remotes sites via point and click of a mouse even when remote staff is not local.