II.
SkillArea overview
Reference · liveskill-area:model-monitoring-drift-detection
Model Monitoring and Drift Detection overview
Monitoring deployed models for data drift, concept drift, output quality regressions, alert thresholds, and retraining triggers.
Attributes
displayName
Model Monitoring and Drift Detection
description
Monitoring deployed models for data drift, concept drift, output quality
regressions, alert thresholds, and retraining triggers.
domains
expertiseLevels
- intermediate
- expert
Outgoing edges
applies_to2
- specialization:ml-inference-serving·SpecializationML Inference Serving
- domain:observability·DomainObservability
requires_skill_area2
- skill-area:observability-pipeline·SkillAreaObservability Pipeline
- skill-area:sli-slo-management·SkillAreaSLI / SLO Management
uses_tool3
- tool:prometheus·ToolPrometheus
- tool:grafana·ToolGrafana
- tool:mlflow·ToolMLflow
Incoming edges
lib_requires_skill_area8
- lib-agent:ai-agents-conversational--cost-optimizer·LibraryAgentcost-optimizer
- lib-agent:data-science-ml--drift-detective·LibraryAgentdrift-detective
- lib-agent:data-science-ml--incident-responder·LibraryAgentincident-responder
- lib-agent:data-science-ml--retraining-orchestrator·LibraryAgentretraining-orchestrator
- lib-skill:ai-agents-conversational--langfuse-integration·LibrarySkilllangfuse-integration
- lib-skill:data-science-ml--arize-observability·LibrarySkillarize-observability
- lib-skill:data-science-ml--evidently-drift-detector·LibrarySkillevidently-drift-detector
- lib-skill:data-science-ml--whylabs-monitor·LibrarySkillwhylabs-monitor
prerequisite_for_learning1
- skill-area:machine-learning·SkillAreaMachine Learning
requires_expertise2
- responsibility:model-drift-monitoring·ResponsibilityModel drift monitoring
- role:machine-learning-ops-engineer·RoleMachine Learning Ops Engineer
requires_skill_area3
- skill-area:automated-retraining·SkillAreaAutomated Retraining
- stack-profile:feature-store-mlops·StackProfileFeature Store & MLOps Stack (Feast, MLflow, BentoML, K8s, Prometheus)
- stack-profile:ml-pipeline-stack·StackProfileML Pipeline Stack (PyTorch/TensorFlow, MLflow, BentoML, K8s)