Monitoring infrastructure is the collection of systems that gather, store, and analyse metrics, logs, and traces to observe the health, performance, and behaviour of software and physical systems. It underpins alerting, capacity planning, incident response, and, for AI systems, tracking of drift, cost, and environmental impact. Components typically include collectors, time-series databases, dashboards, and alerting engines.

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  • A typical stack ingests telemetry via agents into a time-series store, surfaces it through dashboards, and triggers alerts on thresholds or anomalies. For AI workloads it additionally captures inference latency, data and concept drift, token cost, and energy and carbon figures needed for sustainability reporting.