ScaleOut Digital Twins™ is a highly scalable, in-memory computing platform that enables analysts and managers to simultaneously model and simulate thousands of interacting data sources with digital twins. Its breakthrough capabilities assist in decision-making prior to deployment and maximize situational awareness for live systems.
Digital twins can help these complex systems maintain a real-time picture of the huge volume of information they have to analyze. By continuously processing incoming messages, digital twins can quickly identify the most important issues in a sea of data and model the effects of operational changes to help managers make more informed decisions.
ScaleOut’s in-memory computing platform uses data-parallel computing techniques that harness multiple servers to quickly aggregate and query digital twin data.
Digital twins combine incoming telemetry with contextual information to create highly curated results that offer deeper insights than raw telemetry for visualizing trends.
When machine learning algorithms detect issues, digital twins can send alerts to many public alerting providers, including Splunk, Slack, and PagerDuty.
In addition to persisting digital twin state, ScaleOut digital twins can record incoming messages using a persistence provider and later play them back in simulation as a workload generator.
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ScaleOut Digital Twins™ extends digital twin software beyond product lifecycle management, enabling real-time analysis and simulations for diverse industries. By leveraging scalable, in-memory computing, it facilitates high-speed simulations of large systems, offering valuable insights for efficient system operation and optimization.
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With its ability to track thousands of live data sources, react quickly, and enhance decision-making, ScaleOut’s unique digital twin technology adds important capabilities to operational systems across a wide range of applications.
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