Performance Management

Modern performance management systems require high-frequency data collection to support real-time monitoring and analytics, especially in environments such as 5G networks. Traditional polling-based methods are often insufficient for handling large volumes of rapidly changing data.

Comarch Communications addresses this challenge by supporting advanced telemetry mechanisms, including data streaming using technologies such as Google Protocol Buffers. This approach enables near real-time data ingestion and provides sub-second visibility into performance metrics.

High-frequency telemetry forms the foundation for managing large-scale, distributed environments, supporting use cases such as high-density deployments and low-latency services.

Energy efficiency has become an important objective in managing complex network and IT environments, particularly in the context of ESG (Environmental, Social, and Governance) goals. Performance management systems play a key role by linking operational metrics with energy consumption data.

Comarch Communications supports energy efficiency by correlating performance indicators with power usage and identifying underutilized resources. The platform enables optimization strategies such as dynamic resource allocation and automated energy-saving modes during low-demand periods.

This approach helps reduce energy consumption and operational costs while maintaining service quality and meeting SLA requirements.

Digital twins are virtual representations of real systems that use live and historical data to simulate behavior and predict outcomes. In performance management, they enable testing of configurations and traffic scenarios without impacting live environments.

Comarch Communications uses digital twins by feeding real-time performance data into a virtual model of the system. This allows engineering teams to run predictive simulations, such as assessing the impact of increased demand, new devices, or configuration changes.

By validating scenarios before deployment, the platform reduces the risk of service degradation and supports more efficient planning and optimization.

Alarm fatigue occurs when operators are overwhelmed by large volumes of alerts, making it difficult to identify the root cause of issues. AI-assisted root cause analysis (RCA) addresses this challenge by correlating events and identifying the underlying source of performance degradation.

Comarch Communications applies Explainable AI (XAI) to analyze anomalies across multiple domains and technologies, enabling accurate correlation of events in complex environments. Instead of presenting numerous isolated alerts, the platform provides a single, actionable insight that identifies the root cause and suggests corrective actions. This approach improves operational efficiency, reduces noise, and supports faster and more effective issue resolution.

The Network Data Analytics Function (NWDAF) is a 3GPP-defined component in the 5G Core that provides analytics to optimize network performance and support automated decision-making. It enables use cases such as load balancing, mobility optimization, and network slice management.

Comarch Communications Performance Management supports NWDAF by integrating analytics capabilities aligned with 3GPP standards. This ensures consistent data exchange and interoperability across network components and vendors. By leveraging standardized analytics, the platform supports advanced 5G scenarios, improves observability, and enables more efficient and automated network operations.

Correlating performance metrics with customer experience (QoE) allows organizations to understand how technical performance impacts end-user perception and service quality. This requires linking network or system-level data with service-level insights.

Comarch Communicatoins enables this by combining performance management data with service-level traces to create a Service Quality Management (SQM) layer. This provides visibility into how specific performance issues affect services, users, or business outcomes. By connecting technical metrics with user experience, the platform supports faster issue prioritization, improved service quality, and more informed operational decisions.

Multi-vendor and multi-cloud observability refers to the ability to monitor and analyze performance across diverse technologies, platforms, and environments within a single, unified view. This includes physical infrastructure, virtualized resources, and cloud-native workloads.

Comarch Communications provides this capability by consolidating performance data from multiple domains and vendors into a centralized platform. It supports full-stack observability, covering layers from hardware and network infrastructure to virtualized functions such as VNFs and CNFs across hybrid and multi-cloud environments. This unified approach improves visibility, simplifies operations, and enables more effective analysis and optimization in complex, distributed systems.

Agile OSS delivery focuses on flexibility, adaptability, and alignment with specific operational requirements, while traditional vendor solutions are often rigid and built around predefined architectures.

Comarch Communications applies an agile model by tailoring performance management capabilities, such as dashboards, capacity forecasting models, and automated reporting, to the unique needs of each organization. The platform is vendor-neutral and designed to integrate with diverse technologies and environments. This model supports faster implementation, improved alignment with business processes, and a lower total cost of ownership (TCO) compared to monolithic solutions.