MonitoringNetze

MonitoringNetze is a framework for observing the health and performance of networked systems by deploying distributed sensors and centralized analytics. It applies to IT networks, data centers, industrial control networks, and telecommunications infrastructure, covering both traditional IP networks and emerging software-defined environments. The goal is to detect outages, performance degradation, and security events in near real time.

Typical architecture includes sensors or agents at various points (endpoints, switches, routers, servers, industrial devices), a transport layer for telemetry (such as MQTT, HTTP, or message queues), time synchronization, a central data store for time-series data, and an analytics and visualization layer. Edge processing may filter or summarize data before transmission. Access controls and encryption are used to protect data in transit and at rest.

Data collected may include flow records, device metrics, log events, and application telemetry. Common standards and methods involve network telemetry and protocols such as SNMP, NetFlow/IPFIX, sFlow, as well as modern streaming telemetry and OpenTelemetry-compatible instrumentation. Dashboards and alerting enable operations teams to track service levels, detect anomalies, and trigger incidents.

Applications range from network performance management and capacity planning to security monitoring and fault isolation. The concept emphasizes observability, interoperability, and scalable data handling, supporting cost management and compliance through standardized data formats and auditing trails.

Challenges include handling high data volumes, ensuring data quality and correlation across sources, interoperability between vendors, and securing telemetry pipelines against tampering. Ongoing developments focus on AI-assisted anomaly detection, standardized telemetry schemas, and tighter integration with IT and OT monitoring ecosystems.