We don't have to keep an eye on it; it has a good automation option, which keeps us informed. It gives very less false positives. Overall, a really great product.
What I'd like ManageEngine OpManager to improve on is artificial intelligence. In particular, the machine learning feature should be integrated with the sensor flow. Doing this will give leverage, especially when you look at other products such as the Cisco DNA Center. When a switch goes down, I should be able to build on the correlation of other physical devices it's connected to so that I can integrate that with my CA CMDB. The ManageEngine OpManager team needs to draw a long-term roadmap where that feature becomes an integral part of the solution because right now, machine learning in ManageEngine OpManager is a long process. The solution doesn't have MLS search and I want to see ML being developed and applied for CA CMDB to greatly reduce the burden of tying everything.
For example, if I have a data center switch that goes down now, I should know what server it's connected to, and when that switch goes down at twenty-four ports, I would get twenty-four alerts for different devices plugged in. I should be able to make a correlation that the major problem lies in the switch and not with the twenty-four elements connected to that switch. That is where machine learning should come into play and the ManageEngine OpManager AI should indicate "This is where the root of your problem is." It could be difficult, but this is a feature that should be improved or added to the solution.
Some of our customers have been asking that OpManager have a feature to monitor the operating system, however, I tell them that Endpoint Central is doing that. You can buy endpoints and then OpManager, and they integrate between them, and everything is okay.
