CUSTOMERS

PROBLEM

Too many servers, disks, routers, applets, web services...all inter-dependent, especially in virtualized data centers and all sending way too many performance metrics...

It is no longer humanly possible to understand and manage performance of all those elements, individually or more over globally. Traditional tools require too much manual efforts and are not relevant anymore in the virtual data center.

What is at stake is nothing less than insuring the availability and the performance of IT infrastructure on which more and more of the business critical services and applications run.

SOLUTION

To automatically make sense of the myriad of  performance metrics...

Netuitive SI for VMware

1. -self-learns the behavior of each of the thousands components making-up  your infrastructure - individually, as they correlate to others components and to the service or application they are enabling.
   

2. -presents (without any human intervention) a real time view constantly updated, of the health and workload of your infrastructure (servers, storage, network and applications)
   

3. -Forecast service degradation up to 2 hours in advance
   

4. -Helps diagnose incidents by identifying which component(s) “misbehaved”
   

5. -Creates automatically reports required for capacity management and for SLA reporting to internal customers or management (more).

BENEFITS

1. -AUTOMATION - no more rules, scripts to write or thresholds ... reducing drastically human errors and costs.
   

1. -VISIBILITY in all layers of your virtual and physical infrastructure and throughout your silos (servers, storage, network and applications). Reports generation for capacity management and reporting on SLA.
   

1. -PROACTIVITY and insuring SLA are met by reducing false positive by 99% and forecasting service degradation before they impact users.
   

1. -Fast incident RESOLUTION thanks to root-cause identification - again insuring SLA are met.
   

1. -ROI in as little as 2 months by driving your VM to ESX ratio while reducing risk (more).

ANALYSTS