NCA-ADS - Introductory MLOps Practices - Section 6.1
Monitor data science pipelines.
Monitor data science pipelines by tracking resource utilisation, execution times, and error rates at each stage to identify bottlenecks and failures. Distinguish between pipeline-level monitoring, which covers workflow health, and model-level monitoring, which covers prediction quality.
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