Event and Log Analytics Beast

We are using SPLUNK for our end customer as a standard offering for Event Management, Event Analytics and Log Analytics. However, we are now expanding the usage of SPLUNK for predictive intelligence using its AI-ML capabilities.
SPLUNK is used by mainly NOC, Command Center Team, sometimes Monitoring Administration, Ticket Handling team also uses the same for root cause analysis.

We are using Splunk as the centralized monitoring, management tool for our internal IT team. Almost all elementary layer tools are integrated with Splunk ITSI for event and alarms data visibility. Having a centralized tool we are already getting benefit in terms of finding the single glass of pane for our entire IT and correlation on top of it.

We were using Splunk for Event Analytics and Logs Monitoring features however we have done POC for its AIOps (ML enabled) capabilities and it seems very promising for going from being reactive to proactive. Some of the capabilities are like Predictive number of events, dynamic thresholds, anomaly detection, etc. However AIOps is new for us and for the Splunk as well.

Since we have elementary layer tools that do the real monitoring of end IT infrastructure devices such as Network, Servers and Databases, etc. Because of different product vendors to monitor these infrastructure and the compatibility issue we needed a single layer that could have these end monitoring tools layered data and showcase data, events and alarms for the entire IT space which SPLUNK is doing as expected.