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. What I'd like to see in the next version of ManageEngine OpManager is for the machine learning and AI to be tied with the correlation engine because, at the moment, the existing correlation is lacking in terms of contextual awareness. Contextual awareness has to be more customized so that the operator or the person building or customizing the tool should have the flexibility to tie it with the CA CMDB application and the underlying inventory. This way, ManageEngine OpManager becomes more of a straightforward, next-generation solution concerning monitoring. For example, another player like New Relic has an application management module that's far ahead, but it's still lagging and would still need to catch up in terms of managing needs. ManageEngine OpManager has integrations through APIs, but still needs further enhancement because there are still certain applications that would take hits, so the level of contextual awareness needs to be built on more, and that takes time.
