Code import - branch release/SIENTIAPDE-1645

model_manager/metrics.py

@@ -0,0 +1,38 @@
+"""
+Model Manager Metrics Module
+
+This module defines all Prometheus metrics used by the Sientia DataOps Model Manager system
+for monitoring and observability. The metrics provide insights into system performance,
+training operations, and operational health.
+
+The metrics are designed to be scraped by Prometheus and can be visualized in
+Grafana or other monitoring dashboards to provide real-time visibility into
+the system's operation.
+
+Key Metric Categories:
+- Application Health: Overall system status and availability
+
+Metric Labels:
+- pod_id: Kubernetes pod identifier for multi-instance deployments
+"""
+
+from prometheus_client import Counter, Gauge
+
+# Application health metric
+APP_UP = Gauge(
+    'app_up',
+    'Indicates if the application is running (1) or shutting down (0)',
+    ['pod_id'],
+)
+
+WORKFLOW_EXECUTION_TOTAL = Counter(
+    'model_manager_workflow_executions_total',
+    'Total number of workflow executions',
+    ['pod_id', 'workflow_name', 'status'],  # status: success, error
+)
+
+ACTIVITY_EXECUTION_TOTAL = Counter(
+    'model_manager_activity_executions_total',
+    'Total number of activity executions',
+    ['pod_id', 'activity_name', 'status'],  # status: success, error
+)