Fabric-Analytics-MCP

# Horizontal Pod Autoscaler for Microsoft Fabric Analytics MCP Server apiVersion: autoscaling/v2 kind: HorizontalPodAutoscaler metadata: name: fabric-analytics-mcp-hpa namespace: fabric-mcp labels: app: fabric-analytics-mcp spec: scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: fabric-analytics-mcp minReplicas: 3 maxReplicas: 10 metrics: # CPU utilization target - type: Resource resource: name: cpu target: type: Utilization averageUtilization: 70 # Memory utilization target - type: Resource resource: name: memory target: type: Utilization averageUtilization: 80 # Custom metrics (if Prometheus is available) - type: Pods pods: metric: name: http_requests_per_second target: type: AverageValue averageValue: "50" # Scale-down behavior configuration behavior: scaleDown: stabilizationWindowSeconds: 300 # 5 minutes policies: - type: Percent value: 10 periodSeconds: 60 - type: Pods value: 1 periodSeconds: 60 selectPolicy: Min # Scale-up behavior configuration scaleUp: stabilizationWindowSeconds: 60 # 1 minute policies: - type: Percent value: 50 periodSeconds: 60 - type: Pods value: 2 periodSeconds: 60 selectPolicy: Max --- # Vertical Pod Autoscaler (optional - requires VPA to be installed) apiVersion: autoscaling.k8s.io/v1 kind: VerticalPodAutoscaler metadata: name: fabric-analytics-mcp-vpa namespace: fabric-mcp labels: app: fabric-analytics-mcp spec: targetRef: apiVersion: apps/v1 kind: Deployment name: fabric-analytics-mcp updatePolicy: updateMode: "Auto" resourcePolicy: containerPolicies: - containerName: fabric-analytics-mcp minAllowed: cpu: 100m memory: 128Mi maxAllowed: cpu: 1000m memory: 1Gi controlledResources: ["cpu", "memory"]