====== Potential Monitoring Plan ====== === Overview === This Azure AI Monitoring and Reporting Plan provides enterprise-grade visibility, accountability, and operational assurance for AI workloads running in Microsoft Azure. Designed for applications leveraging services like Azure OpenAI, Speech, Language, and Cognitive APIs, this plan ensures your AI solutions remain secure, reliable, and performance-optimized. === Goals === * Proactively monitor AI system health, latency, and errors * Ensure SLA compliance and minimize downtime * Provide actionable performance and usage insights * Enable cost transparency and anomaly detection * Secure sensitive data and track access === Scope of Monitoring === ^ Area ^ Monitored Item ^ | AI Services | OpenAI (GPT), Speech, Language, Vision, etc. | | Performance | Latency, token usage, call frequency, timeouts | | Reliability | HTTP error rates, dependency failures | | Security | Key Vault access, secret usage, auth events | | Cost Tracking | Resource consumption and budget alerts | | Custom Metrics | AI response accuracy, sentiment scores, etc. | === Implementation Approach === - **Azure Monitor Integration** * Real-time tracking of latency, usage, errors * Application Insights or custom telemetry - **Diagnostic Settings** * Export logs to Log Analytics & Storage * Enable audit trails and long-term retention - **Alerts and Notifications** * Latency thresholds (e.g., > 500ms) * Error alerts for failed API calls * Custom thresholds for model usage - **Dashboards and Visualization** * Azure Workbooks with real-time and historical metrics * KPI charts for token usage, sentiment trend, etc. - **Weekly/Monthly Reports** * Performance summaries * Anomaly detection insights * Recommendations for scaling or tuning === Security & Compliance === * Access monitoring for Key Vault and secrets * RBAC enforcement on logs and diagnostics * Optional integration with Microsoft Defender for Cloud === Deliverables === * Baseline monitoring template for all AI services * Custom alerts and dashboards tailored to client KPIs * Weekly AI health check report (PDF or Power BI) * Optional cost optimization and usage analysis === Optional Add-ons === * GPT behavior audits (accuracy, bias, hallucinations) * Compliance logging for regulated industries (HIPAA, GDPR) * Integration with ServiceNow, PagerDuty, or Slack for alerting