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MonitoringFreeOpen Source
PROMETHEUS
Open-source monitoring and alerting for metrics and time-series data
Apache-2.0
ABOUT
AI and agentic systems generate vast amounts of metrics from distributed components — model inference endpoints, agent microservices, GPU/TPU resources, and data pipelines — but traditional monitoring tools struggle with the cardinality and dimensionality of these metrics. Prometheus provides a purpose-built pull-based metrics system with multi-dimensional labeling, powerful PromQL querying, and integrated alerting designed for ephemeral, horizontally-scaled infrastructure common in ML deployments.
INSTALL
docker run -d --name prometheus -p 9090:9090 prom/prometheus:v3.12.0
INTEGRATION GUIDE
1. Monitor ML model inference latency and throughput across multiple serving endpoints
2. Track GPU/TPU utilization and resource metrics for training and inference workloads
3. Observe AI agent request rates, error rates, and response time distributions in real time
4. Alert on data pipeline health, feature store freshness, and model drift in production
5. Instrument multi-agent systems with custom metrics for end-to-end observability
TAGS
monitoringmetricsalertingtime-seriesobservabilitypromqlml-monitoringai-infrastructure