Production

📞 Real-Time Agentic AI Audio Application - Production Readiness Checklist (Call Center Scale)¶

Target scale: 10,000+ concurrent calls per minute Focus areas: Latency, Scalability, Resilience, Security, Observability

🔴 Tier 1 – Critical for Scale, Stability, and SLA¶

⚙️ Infrastructure & Throughput¶

[ ] ACS Media Streaming endpoints regionally distributed and load-tested
[ ] FastAPI backend horizontally scalable (Azure Container Apps with managed identity)
[ ] Azure Managed Redis Enterprise with partitioned key strategy (user:{id}:session:{sid})
[ ] Azure Speech Services (STT/TTS) scaled using concurrency-aware provisioning
[ ] Azure OpenAI with proper quota management and rate limiting
[ ] Event Grid topics with dead letter queues for failed webhook deliveries
[ ] Load tests simulate call volume end-to-end (ACS → EventGrid → STT → LLM → TTS → ACS)
[ ] Container Registry with vulnerability scanning enabled
[ ] Azure Container Apps Environment with dedicated compute and networking
[ ] Cosmos DB with MongoDB API scaled for concurrent session storage

🧠 State & Session Handling¶

[ ] Redis TTL and namespaced keys to isolate concurrent sessions
[ ] Cosmos DB backup of session transcript, TTS responses, and agent logs with geo-redundancy
[ ] Blob Storage for audio recordings with lifecycle management policies
[ ] Correlation IDs (callConnectionId, session_id, agent_id) used across all layers
[ ] Session state recovery mechanisms for mid-call failures
[ ] Memory agents (labs/04-memory-agents.ipynb) with persistent context storage
[ ] Barge-in detection and real-time audio stream management

🔍 Observability & Resilience¶

[ ] Health checks at every stage: WebSocket → STT → LLM → TTS → ACS injection
[ ] Circuit breakers and fallback utterances if STT/LLM/TTS fails
[ ] Application Insights distributed tracing linked across services
[ ] Real-time alerting on:
STT delay > 500ms
TTS generation > 1s
Agent latency > 2.5s
Event Grid delivery failures
Container Apps scaling events
Redis connection failures
[ ] Structured logging with correlation IDs in FastAPI backend
[ ] Dead letter queue monitoring for failed events

🟡 Tier 2 – Optimization and Cost Control¶

⏱️ Latency and Response Optimization¶

[ ] STT chunking tuned (PushAudioInputStream at 250ms intervals)
[ ] Intermediate STT results enabled for real-time transcription
[ ] Common TTS phrases pre-cached in Redis or Blob Storage
[ ] LLM prompt optimization with token management and summarization
[ ] STT/LLM parallel processing (speculative execution where possible)
[ ] Voice cloning and neural voice switching optimized for latency
[ ] Multilingual support (labs/05-speech-to-text-multilingual.ipynb) with auto-detection
[ ] Real-time transcription streaming via WebSocket connections
[ ] Audio quality optimization for different network conditions

💰 Cost Optimization¶

[ ] Container Apps with consumption-based scaling and spot instances where appropriate
[ ] Redis Enterprise sized based on peak concurrency with reserved instances
[ ] Speech Services quota management and regional failover
[ ] Azure OpenAI token usage monitoring and optimization
[ ] Auto-end idle sessions after 30–60 seconds with graceful cleanup
[ ] Call admission control at ingress layer with queue management
[ ] Blob Storage tiering for long-term audio archive storage
[ ] Cosmos DB autoscale configuration based on RU consumption patterns

🔧 Development & Deployment Pipeline¶

[ ] Terraform infrastructure (infra-tf/) with state management and drift detection
[ ] Azure Developer CLI (azd) deployment pipeline with environment promotion
[ ] Pre-commit hooks for code quality and security scanning
[ ] Container image vulnerability scanning and signing
[ ] Blue-green deployment strategy for zero-downtime updates
[ ] Feature flags for gradual rollout of new capabilities
[ ] Load testing pipeline (labs/03-latency-arena.ipynb) integrated with CI/CD
[ ] Infrastructure as Code validation and policy compliance

🟢 Tier 3 – Compliance, Security, and UX¶

🔐 Security & Privacy¶

[ ] Managed Identity authentication across all Azure services (no connection strings in production)
[ ] Key Vault integration for all secrets with rotation policies
[ ] Private endpoints and RBAC enforced on Redis, Cosmos DB, Blob, Speech Services
[ ] Network security groups and application gateway with WAF
[ ] PII/PHI redaction in logs and stored transcripts
[ ] Data retention policies with automated cleanup and compliance reporting
[ ] GDPR/HIPAA compliance documentation and data processing agreements
[ ] Audit logging for all data access and modifications
[ ] Encryption at rest and in transit for all data stores
[ ] Certificate management and TLS termination

🗣️ Voice Experience & Agent UX¶

[ ] Live interruption (barge-in) stops TTS playback with smooth transitions
[ ] Graceful fallback on silence, disconnection, or misunderstanding
[ ] Dynamic voice switching based on context and user preferences
[ ] Voice biometric or MFA verification for sensitive operations
[ ] Emotion detection and adaptive response generation
[ ] Real-time sentiment analysis with escalation triggers
[ ] Multi-turn conversation context management with memory persistence
[ ] Language detection with automatic switching capabilities

📊 Analytics & Business Intelligence¶

[ ] Call analytics dashboard with real-time metrics
[ ] Conversation quality scoring and improvement recommendations
[ ] Business metrics tracking (resolution rates, satisfaction scores, etc.)
[ ] A/B testing framework for agent response optimization
[ ] Performance benchmarking against baseline metrics
[ ] Customer journey mapping and interaction analysis
[ ] Predictive analytics for call volume and resource planning

🚀 Tier 4 – Advanced Features and Innovation¶

🤖 AI/ML Enhancements¶

[ ] Real-time model fine-tuning based on conversation outcomes
[ ] Multi-agent orchestration for complex scenarios
[ ] Retrieval-Augmented Generation (RAG) with dynamic knowledge updates
[ ] Intent recognition and automatic routing
[ ] Conversation summarization with key insights extraction
[ ] Proactive engagement based on user behavior patterns
[ ] Voice synthesis optimization for brand consistency

🌐 Enterprise Integration¶

[ ] CRM integration with real-time data synchronization
[ ] Knowledge base integration with dynamic content updates
[ ] Workflow automation with business process integration
[ ] Third-party API resilience and failover mechanisms
[ ] SSO integration with enterprise identity providers
[ ] Multi-tenant architecture for enterprise customers
[ ] API versioning and backward compatibility

🔄 Operational Excellence¶

[ ] Chaos engineering with failure injection testing
[ ] Capacity planning with predictive scaling
[ ] Disaster recovery with RTO/RPO objectives
[ ] Business continuity planning and testing
[ ] Performance regression testing automation
[ ] Incident response playbooks and automated remediation
[ ] Configuration management with environment consistency

📋 Production Readiness Gates¶

Pre-Production Checklist¶

[ ] All Tier 1 items completed and validated
[ ] Load testing passed at target scale (10,000+ concurrent calls)
[ ] Security penetration testing completed
[ ] Disaster recovery procedures tested
[ ] Monitoring and alerting validated
[ ] Support procedures documented and trained

Go-Live Checklist¶

[ ] Production environment validated
[ ] Rollback procedures tested
[ ] Support team on standby
[ ] Monitoring dashboards active
[ ] Incident response team briefed
[ ] Performance baselines established

Post-Launch Checklist¶

[ ] Performance metrics within SLA bounds
[ ] User feedback collection active
[ ] Cost optimization opportunities identified
[ ] Scaling patterns documented
[ ] Lessons learned documented
[ ] Continuous improvement roadmap updated

📈 Success Metrics¶

Technical KPIs¶

Latency: < 2.5s end-to-end response time
Availability: 99.9% uptime SLA
Scalability: Handle 10,000+ concurrent calls
Quality: < 1% call drop rate
Security: Zero security incidents

Business KPIs¶

Customer Satisfaction: > 4.5/5 rating
Resolution Rate: > 85% first-call resolution
Cost per Call: < $X target (define based on business model)
Agent Efficiency: > 90% automation rate for common queries
Revenue Impact: Measurable improvement in customer outcomes

🔧 Tools and Resources¶

Monitoring Stack¶

Application Insights for distributed tracing
Azure Monitor for infrastructure metrics
Log Analytics for centralized logging
Grafana/Power BI for business dashboards

Testing Tools¶

Azure Load Testing for performance validation
Chaos Mesh for resilience testing
Postman/Newman for API testing
Playwright for end-to-end testing

Security Tools¶

Azure Security Center for compliance monitoring
Azure Sentinel for threat detection
Defender for Cloud for vulnerability scanning
Azure Policy for governance enforcement