Productionizing Agentic Systems: MLOps, Monitoring & Cost Control Training Course

Foundations of Agentic Systems for Government Production

• Agentic architectures: loops, tools, memory, and orchestration layers
• Lifecycle management of agents: development, deployment, and continuous operation
• Challenges in managing production-scale agent systems for government

Infrastructure and Deployment Models for Government

• Deploying agents in containerized and cloud environments for government operations
• Scaling patterns: horizontal versus vertical scaling, concurrency, and throttling for government systems
• Multi-agent orchestration and workload balancing for efficient government service delivery

Monitoring and Observability for Government Systems

• Key metrics: latency, success rate, memory usage, and agent call depth in government applications
• Tracing agent activity and call graphs to ensure transparency and accountability
• Instrumenting observability using Prometheus, OpenTelemetry, and Grafana for government projects

Logging, Auditing, and Compliance for Government

• Centralized logging and structured event collection for government systems
• Ensuring compliance and auditability in agentic workflows for government operations
• Designing audit trails and replay mechanisms for debugging and accountability in government processes

Performance Tuning and Resource Optimization for Government Systems

• Reducing inference overhead and optimizing agent orchestration cycles for efficient government services
• Model caching and lightweight embeddings to enhance retrieval speed in government applications
• Conducting load testing and stress scenarios to ensure robust AI pipelines for government use

Cost Control and Governance for Government Systems

• Understanding cost drivers for agents: API calls, memory, compute, and external integrations in government operations
• Tracking agent-level costs and implementing chargeback models for government budgeting
• Automation policies to prevent agent sprawl and idle resource consumption in government systems

CI/CD and Rollout Strategies for Government Agents

• Integrating agent pipelines into CI/CD systems for seamless government operations
• Testing, versioning, and rollback strategies for iterative updates to government agents
• Progressive rollouts and safe deployment mechanisms to ensure reliability in government services

Failure Recovery and Reliability Engineering for Government Systems

• Designing fault-tolerant systems with graceful degradation for government applications
• Implementing retry, timeout, and circuit breaker patterns to enhance agent reliability in government services
• Establishing incident response and post-mortem frameworks for AI operations in government

Capstone Project for Government Systems

• Build and deploy an agentic AI system with full monitoring and cost tracking for government use
• Simulate load, measure performance, and optimize resource usage to support efficient government operations
• Present the final architecture and monitoring dashboard to peers in a government setting

Summary and Next Steps for Government Projects