This is one of the monitoring tools that we use in-house for our infrastructure. This is not one of the services that we provide to our customers. I use it primarily for event management, where I can do the correlation and analysis I need to configure policies.

We are still working on some use cases for the product. We look at the solution as a level of an AI machine learning that we are able to introduce there for that data set and probably enrich it with some more topology data across the network. So, mainly it is our umbrella fault with some automation and machine learning use cases, specifically also pertaining to the country's unique power constraints. For example, we have already deployed the product for power cutouts.

We use it in the banking services domain. We have many devices and interfaces from different vendors. To perform monitoring, we have deployed NetCool at the high-level architecture. We have 50 lines of business (LOB), and we are using NetCool as a central point. It acts as an event manager. For each and every LOB, we deploy other monitoring tools, and from there, we collect all the events and point them to NetCool. 

We are using NetCool/Impact for ticketing into BMC Remedy. We are now bringing out apps on top of NetCool for predictive analytics. They would be useful for predicting what is going to happen in the future and perform historical analysis of all those things.

We an implementer and a user of this solution. We are able to use this solution for integration detection, reporting, automation, and event monitoring.

We primarily use the solution to monitor our environment.

I use the solution to receive alarms from network sites, figure out root codes, and notify in case of severe problems.