NART OSS Certified

Star Suite’s Fault Management module provides telecom operators with a highly intelligent alarm handling system designed to isolate, correlate, and resolve faults with precision. It performs real-time event filtering, alarm singularization, enrichment, and correlation based on service and network topology. Root causes are identified instantly and visualized within the network context, while automated notifications and ticketing workflows accelerate remediation. Integrated AI/ML models detect degradation trends and enable predictive alerting, allowing teams to address issues proactively. This module significantly reduces mean time to repair (MTTR) and ensures service continuity in complex, multi-vendor environments.

Star Suite’s Transmission Network Digital Twin enables telecom operators to create a real-time, virtual replica of their physical transport infrastructure, including WDM, fiber, and IP/MPLS networks. This dynamic model reflects the current state of all transmission elements—topologies, traffic flows, utilization, and interdependencies—allowing for proactive planning, capacity forecasting, and impact simulation. Operators can visualize live and historical data, monitor underperforming fibers, detect service degradation, and simulate routing scenarios or outages. By synchronizing with real network inputs and integrating with assurance and orchestration modules, the Digital Twin enhances operational visibility, reduces outage risk, and accelerates infrastructure optimization across the transport layer.

Star Suite accelerates service deployment with end-to-end fulfillment and orchestration capabilities. Using reusable templates and intent-based logic, the platform transforms service definitions into executable workflows, ensuring consistency from design to activation. Service inventory, catalog management, and provisioning tools are tightly integrated with network and assurance layers to align service delivery with real-time network conditions. It supports protection path planning, pre- and post-validation, and automated error handling—enabling faster time-to-market and reduced operational overhead.

Star Suite features a live, multi-layer topology engine that maps the logical, physical, and service dimensions of the network in real time. It correlates alarms and performance metrics with network structure, enabling operators to visualize impact zones, perform SPOF/MPOF analysis, and trace service dependencies instantly. With customizable views for different topologies (e.g., NE-based, IP-based, ring, or site-based), the system supports root cause identification, failure prediction, and service assurance through a deeply contextual understanding of the entire network.

Star Suite incorporates advanced AI/ML models to drive predictive analytics and proactive network management. By continuously analyzing historical performance data, alarm trends, and threshold violations, the platform detects anomalies, anticipates failures, and generates actionable alerts. Operators can identify underperforming segments, prevent outages, and maintain SLA compliance with minimal manual effort. This intelligent layer transforms raw operational data into forward-looking insights, significantly reducing downtime and improving customer satisfaction.

Star Suite is built on a modern, microservices-based architecture that is fully modular, scalable, and cloud-native. It supports deployment across public, private, hybrid, and edge environments, while maintaining seamless interoperability with legacy and next-generation network elements. Open APIs and support for SNMP, REST, CLI, and Corba ensure integration across diverse systems. Its vendor-neutral design promotes ecosystem flexibility, accelerates onboarding, and future-proofs operations—enabling rapid innovation without vendor lock-in.