“Before trying to manage complex infrastructures using AIOps, IT operations teams need to know what data is available to collect for operations analyses, how to collect the data, what is the ground truth in these new sets of data, and whether these data sets are enough to make accurate management decisions.”
Digital transformation, due to increasing adoption of cloud-based solutions, is being widely embraced by enterprises today. As a result, an enterprise’s application-delivery infrastructures are becoming more virtual, more distributed (across the Internet), and dynamic (i.e., an application’s infrastructure resources could vary in size, location, and time of the day, depending on user demands). Thus, while an application at 9 am in the morning might use four virtual machines (VMs) in one server at a remote data center, it might have ballooned at 2 pm to 16 VMs in four servers at two data centers at different geographical locations. Ennetix’s AIOps is a versatile solution which can automatically “chase” these end points in real time without any user guidance or intervention, and thereby collect relevant data for the application and its users.
Another versatility of the Ennetix AIOps platform is that it not only can collect data from its client premises through deploying its own collector (including actively probing the dynamic end points mentioned above) but it also can ingest data from third-party sources, e.g., a client might already have tools for some of the following (APM, NPM, log collector, etc.), each of which provide a “silo-ed” view of the infrastructure and its performance, but the Ennetix AIOps solution can correlate data from all of these sources to provide more accurate and meaningful view of the infrastructure’s performance. The Ennetix AIOps platform can also ingest data sourced by diverse infrastructure elements for emerging and yet-to-be-anticipated applications, e.g., IoT, wireless switches, optical switches forming the Internet infrastructure, etc.