While gigital twins and the emerging subcategory of asset graphs promise operators greater visibility into the relationships between IT assets and equipment under management, current approaches are more like snapshots of a point in the past. Events take place in real time, meaning the digital twin is almost always out of date, limiting its utility. Lack of visibility translates into delayed reactions to threats or failure modes. Digital twins are out of step with enterprises increasingly moving to real time.
Quine streaming graph generates digital twins and asset graphs that are stateful and event-driven. Stateful digital twins reflect activities in the environments they model in real time. Using Quine streaming graph, you can easily construct an digital twinthat can ingest high volumes of event data in order to detect complex and subtle threats or changes in conditions the instant data arrives, triggering alerts and remedial action in real time.
Download the open source version of Quine and construct an digital twin that can ingest high volumes of your own event data from AWS and other cloud systems in order to detect complex and subtle threats or emit timely messages the instant data arrives, triggering alerts and remedial action in real time.