Select Back-in-Time™
Easily Isolate Troubling Intermittent Problems Resolving intermittent problems is a major, risky undertaking due to the fact that end-users don’t know where or when they will strike next. Rogue applications, bandwidth hogs, virus attacks and traffic bursts can resurface at any time. Select Back-in-Time resolves these problems quickly and easily by providing you a complete historical troubleshooting tool. It automatically tracks performance from Layers 1-7 and stores the information for two weeks in a short-term database. With Select Back-in-Time, you can easily scroll back over time and identify causes and effects of specific performance issues – all in an easy to use, graphical interface. All of this rich data is then rolled into a long-term database with access to over 80 standard reports.Achieve End-to-end Service Level Measurements The vast majority of SLAs today provide only a fraction of needed performance parameters. Visual UpTime Select extends SLA visibility all the way to the service boundaries at each enterprise location - up to and including the intelligent device. You have an up-to-the-minute view of critical SLA parameters, including latency, availability and delivery ratio for frame relay, ATM and IP connections, so you no longer have to wait for monthly SLA reports to discover commitments weren't met. Now you can take proactive action before user service levels are affected, not after. Size Network Circuits for Optimal Performance Understanding network utilization is critical to optimizing the performance of your business-critical applications. With the module, you can right-size your network circuits by determining the amount of time a port or circuit was either stressed or underutilized. Ensure your ports and virtual circuits have sufficient bandwidth to support key applications without wasting budget by over-provisioning. You have one-second granularity, and the module makes automatic recommendations on port and virtual circuit upgrades while also telling you when it is safe to scale back and save valuable resources. |
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