Attention-enhanced cloud service monitor configuration system

A system for configuring network-based service monitors, comprising:

• a processor;
• and
• a memory storing instructions that, when executed by the processor, cause the system to:
• identify an input graph comprising:
• nodes representing network-based service monitors that continuously analyze telemetry emitted by network-based services to detect anomalies and create alerts and warnings based thereon, metrics that identify which performance indicators should be tracked, and dimensions that are used for aggregation of the metrics and that define metric collection levels of the network-based services at which the metrics are collected and stored, and
• edges indicating associations between the network-based service monitors and the dimensions, connections between the metrics and the dimensions, and relationships between the network-based service monitors and the metrics;
• generate a recommended monitor configuration for a particular network-based service by processing the input graph through an attention-enhanced graph neural network trained using existing monitor-to-dimension associations, metric-to-dimension connections, and monitor-to-metric connections from other network-based service monitors;
• process, using a graph neural network of the attention-enhanced graph neural network, the input graph to produce enriched node representations for each node of the input graph, the enriched node representation for each node incorporating information from neighbors of the node and an overall structure of the input graph;
• evaluate, using a scoring mechanism of the attention-enhanced graph neural network, the enriched node representations by analyzing monitor and service similarities, weighting relationships according to shared characteristics and dependencies, and applying trained attention weights to generate predicted probability scores for potential configuration relationships indicating a likelihood of valid and effective configurations;
• evaluate, using a link prediction component of the attention-enhanced graph neural network, the predicted probability scores against known configuration patterns to determine a likelihood of valid configuration relationships to generate the recommended monitor configuration based on probability relationships among the valid configuration relationships;
• and
• configure a network-based service monitor for the particular network-based service based on the recommended monitor configuration.