The Alarm Manager Engine centralises the management of alerts, ensuring that alarms are prioritised and handled efficiently to maintain network stability.

The Data Aggregation Engine collects and consolidates data from various probes and agents, providing a comprehensive overview of network performance.

The Core Backend Engine serves as the main processing hub for all collected data, ensuring that performance metrics and other information are available for analysis and action.

The Core Back-End API Engine enables external systems to access data and functionalities within the back-end, enhancing integration and data exchange capabilities.

The Data Analytics Engine processes and analyses performance data, transforming raw information into actionable insights that drive network optimisation.

The MLAI Backend Engine manages the implementation and operation of machine learning and AI models within the back-end, enhancing the analytical capabilities of the monitoring system.

The Failure Predictor Engine uses predictive analytics and machine learning models to foresee potential network failures, enabling proactive maintenance and reducing downtime.

The Similarity Analyst Engine compares current network events with historical data to identify recurring patterns and potential issues.

The Traffic Engineer Engine optimises the flow of data through the network, ensuring efficient use of resources and maintaining high performance across all network segments.

The Anomaly Detector Engine identifies unusual patterns in network behaviour, providing early warnings of potential performance issues or security threats.

The Configuration Optimiser Engine continuously assesses network configurations to enhance performance, security, and compliance with operational policies.