The Core Orchestrator Engine serves as the primary coordinator for all orchestration activities, managing workflows and automating responses based on real-time data analysis.

The Probe Manager Engine oversees the deployment, configuration, and performance of monitoring probes, ensuring that they operate optimally and provide accurate data.

The Config Manager Engine controls network configurations, ensuring that all settings are optimised and compliant with operational standards and policies.

The Discovery Manager Engine continuously scans the network to identify and map devices, ensuring that all components are accounted for and monitored effectively.

The Queue Manager Engine manages the flow of data within the monitoring system, ensuring that data processing is efficient and prioritised according to operational needs.

The Core Orchestration API Engine facilitates integration with external systems, allowing for seamless data exchange and enhancing the platform’s overall functionality.

The MLAI Orchestrator Engine manages the application of machine learning and AI models within the orchestration process, enhancing decision-making and automation with data-driven insights.

The Alarm Sync Engine manages and synchronises alarms across the monitoring platform, ensuring that alerts are accurate, timely, and prioritised according to their impact on network operations.

The Load Optimiser Engine is responsible for balancing and optimising the distribution of monitoring tasks across the network, ensuring that resources are utilised efficiently without overburdening any part of the system.

MLAI Nodes Engine distributes AI processing tasks across multiple nodes, enhancing the speed and efficiency of machine learning computations within the monitoring platform.

The Probe Collector Engine aggregates data from various probes, consolidating information into a unified view to provide comprehensive insights into network performance.