Enterprise Data Bus
AggreGate enables a reliable delivery of industrial and IT data between various systems within an enterprise. It also takes care of a high-performance data storage allowing to design a unified corporate data lake.
The system is equally good for routing the spot and historical values of different metrics, on-the-fly and scheduled operation calls, as well as events and other asynchronous notifications. It scales to many millions of samples per second, providing operational intelligence for very large infrastructures.
Support for the structured data exchange via hundreds of communication protocols makes the platform a good candidate for a company-wide Enterprise Data Bus (EDB) and Enterprise Service Bus (ESB). The flows within the service bus are typically hierarchical, upstreaming data from remote facilities to the HQ. All values are filtered at any level, ensuring that more valuable events get higher while less important ones get stored at the low-level platform servers or at least aggregated before their escalation.
In a typical scenario, it acts as a Manager of Managers, playing the role of a middleware that normalizes incidents aggregated from multiple low-level control, monitoring and management systems. A certain number of events can be still directly bridged from the physical asset world.
Smart Data Escalation
Multi-tier data forwarding from remote facilities to the federal control center through the local, regional and macroregional branches becomes smart. AggreGate platform instances filter and aggregate the raw machine data via a hierarchy of models to ensure that only extremely urgent and economically valuable events will reach the summit.
Edge-to-Cloud Orchestration
Devices living at the edge produce an enormous amount of data. AggreGate analyzes and correlates all data at the lowest possible level where all necessary data items become available. Only the resulting events and control decision suggestions are raised over the fog.
Industrial IoT Middleware
AggreGate fills the gap between the physical assets, like CNC machines and vehicles, and specific enterprise applications taking care of CRM, HR and financial management. It provides a flexible, secure and reliable bridge over any physical networks and IT security barriers to make sure all the apps are fed in time.
Rich Connectivity
Out-of-the-box support for 100+ standard communication protocols from the IT, IoT, automation, and big data worlds. Connection of any devices and data sources via the custom drivers or device-side software agents. Open-source driver and agent development kits.
Predictive Insights
AggreGate assists in resolving the infrastructure and IT service issues before they impact your business, as well as helps improve the productivity and user experience. Predictive and preventive maintenance techniques offered by the platform can be applied to tangible and intangible assets of any size, from CNC machines to region-wide models of a power grid.
Operational Intelligence
AggreGate forwards the industrial and business data into a unified data lake. Apart from data-driven analytics, the platform enables an activity-centric approach typical for OI. There are many active instruments that operate "on their own": alerts, scheduled jobs, workflows, bindings and, after all, device drivers. All those tools perform on-the-fly operational dashboard updates and inform the responsible employees about any significant events and condition changes.
Unrestrained Scalability
A single AggreGate server scales to ten million data points. With even a small cluster of instances joined into a distributed installation, the scalability limit by far exceeds the expectations of a large industrial holding. Geographically distributed enterprises also leverage the filtering of tags that are exposed to remote locations.
Industrial Data Analytics
Some AggreGate-based products are shop floor systems, such as SCADA and MES. They have proved the track record in a high-performance storing of the time series data, handling the floating-point value aggregation, binding the oscillograms to nanosecond-precision timestamps provided inside the tag values and preserving the data point quality metrics throughout the whole multi-tier infrastructure. With this expertise, AggreGate products can provide the adequately preprocessed streams to the data scientists and system engineers who make use of the high-level data mining instruments.
