Knowledge Graph — Coursera Notes › Academic disciplines › Information Technology / Computer Science › Cloud Computing › Snowflake › AI/ML › Model Deployment › Troubleshooting

Monitoring and alerting

concept · part of Troubleshooting

Monitoring deployed model performance to detect problems early, with alerting mechanisms to notify teams when metrics fall below or exceed thresholds. Set up dashboards using Grafana or Azure Monitor, configure alerts for critical metrics (accuracy, latency, error rates), and use logs to track unusual behavior.

from azure.monitor.query import MetricsQueryClient
from azure.identity import DefaultAzureCredential

credential = DefaultAzureCredential()
client = MetricsQueryClient(credential)
alert_condition = {
    "threshold": 85,
    "metric": "accuracy",
    "operator": "LessThan",
    "alert_action": "EmailNotification"
}
print("Alert set for model accuracy below 85%.")

Prometheus is a widely used open-source monitoring tool. It helps visualize data trends, track metrics, set up alerts, and detect unusual patterns that might indicate underlying issues.

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