Path Anomaly detection in PNDA using in-band OAM

OAM (Operations, Administration, and Maintenance) is a set of functions designed to monitor network operation in order to detect network faults and measure its performance. iOAM (in-band OAM) technology promises enhanced manageability and simplified operations for service-layer networks. This video demonstrates iOAM data published into Kafka and analyzed for anomalies using a PNDA Spark application. The app detects anomalies (in this case, path changes) and publishes each anomaly as a topic in Kafka. Both raw iOAM data published into kafka and the anomaly events are then visualized using the ELK Stack.

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