ai_team_workshop

olafkfreund/ai_team_workshop

3.2

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The Enterprise-Grade Copilot in Azure Workshop is designed to guide participants through the process of building, deploying, and managing production-ready Model Context Protocol (MCP) servers with Azure integration, focusing on enterprise security and monitoring capabilities.

🚀 Copilot in Azure Developer Workshop

Welcome to the Enterprise-Grade Copilot in Azure Workshop! This comprehensive hands-on session will guide you through building, deploying, and managing production-ready MCP servers with real Azure integration, enterprise security, and monitoring capabilities.

🎯 Workshop Objectives

  • Build enterprise-grade MCP servers with real Azure service integration
  • Implement production security with JWT authentication and audit logging
  • Deploy to Azure with Infrastructure as Code using Bicep templates
  • Set up comprehensive monitoring with dashboards and metrics
  • Create intelligent agents that interact with actual Azure services
  • Establish CI/CD pipelines for automated testing and deployment

⏱️ Duration: 120 minutes

🚀 Quick Start (5 minutes)

# 1. Clone and navigate
git clone <workshop-repo>
cd workshop/mpc-server

# 2. Build enterprise MCP server
docker build -t workshop-mcp .

# 3. Run with full features
docker run -p 8080:8080 -e MCP_DEBUG=true workshop-mcp

# 4. Validate everything works
cd .. && python test-workshop.py

# 5. Open enterprise dashboard
open http://localhost:8080/dashboard

📊 Workshop Structure

  • Module 1: Architecture & Setup (20 mins) - Enterprise MCP architecture and environment setup
  • Module 2: Agent Development (25 mins) - Building intelligent agents with Azure integration
  • Module 3: Production Features (30 mins) - Security, caching, monitoring, and performance
  • Module 4: Testing & Quality (20 mins) - Comprehensive testing and validation
  • Module 5: Deployment & CI/CD (20 mins) - Azure deployment with Infrastructure as Code
  • Module 6: Q&A & Next Steps (5 mins) - Troubleshooting and enterprise adoption

🏗️ Enterprise Features Included

🔐 Security & Authentication

  • JWT-based authentication with Azure AD integration
  • Input validation and sanitization
  • Audit logging for compliance tracking
  • Secret management with Azure Key Vault

📊 Monitoring & Observability

  • Real-time dashboard with WebSocket updates
  • Prometheus metrics collection
  • Application Insights integration
  • Custom alerting and notifications

⚡ Performance & Scalability

  • Redis caching for optimal response times
  • Rate limiting and abuse prevention
  • Concurrent request handling
  • Auto-scaling Azure Container Instances

🧪 Testing & Quality

  • Comprehensive test suite (50+ scenarios)
  • Load testing and performance benchmarks
  • Security vulnerability scanning
  • Automated code quality checks

📋 Prerequisites

Required Tools

  • Docker Desktop - Container runtime and management
  • Azure CLI - Azure service management
  • Git - Version control
  • Python 3.10+ - For testing and validation scripts
  • VS Code - Development environment (recommended)

Azure Requirements

  • Azure Subscription with Contributor access
  • Azure OpenAI service (optional for advanced features)
  • Storage Account for centralized resource management

Skill Level

  • Basic understanding of APIs and containers
  • Familiarity with Azure services (helpful but not required)
  • Experience with command-line tools

🚦 Environment Validation

Before starting the workshop, validate your environment:

# Quick environment check
cd workshop
python test-workshop.py --quick

# Full comprehensive validation
python test-workshop.py

Expected output: 85%+ success rate for workshop readiness

📁 Workshop Structure

workshop/
├── mpc-server/           # Enterprise MCP server with all features
│   ├── app.py           # Production Flask application
│   ├── config.py        # Configuration management
│   ├── dashboard.py     # Real-time monitoring dashboard
│   ├── Dockerfile       # Multi-stage production build
│   └── test_mcp_server.py # Comprehensive test suite
├── agents/              # Agent configurations
├── prompts/             # Prompt templates for multiple languages
├── deployment/          # Azure Infrastructure as Code
├── template-projects/   # Client examples in multiple languages
└── docs/               # Comprehensive documentation

🎓 Getting Started

Step 1: Environment Setup

# Validate your environment
python test-workshop.py --pre-workshop

# Expected: 95%+ validation success

Step 2: Build MCP Server

cd mpc-server
docker build -t workshop-mcp .
docker run -p 8080:8080 workshop-mcp

Step 3: Access Features

  • Health Check: http://localhost:8080/health
  • Live Dashboard: http://localhost:8080/dashboard
  • API Documentation: http://localhost:8080/docs
  • Metrics: http://localhost:8080/metrics

Step 4: Test Agents

# Test Azure VM monitoring agent
curl -X POST http://localhost:8080/agent/azureVmMetricsAgent \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Show VM status and metrics"}'

🔧 Workshop Modules

Module 1: Architecture & Setup (20 mins)

Objectives:

  • Understand enterprise MCP architecture
  • Build production-ready Docker container
  • Validate comprehensive environment setup

Hands-on Tasks:

  • Environment validation with automated scripts
  • Docker build with multi-stage optimization
  • Live dashboard access and monitoring setup

Module 2: Agent Development (25 mins)

Objectives:

  • Create intelligent agents with real Azure integration
  • Implement context handling and multi-tenancy
  • Master prompt engineering for production scenarios

Hands-on Tasks:

  • Analyze existing Azure VM monitoring agent
  • Build custom storage analytics agent
  • Test multi-tenant context handling

Module 3: Production Features (30 mins)

Objectives:

  • Implement JWT authentication and authorization
  • Configure Redis caching for performance optimization
  • Set up comprehensive monitoring and audit logging

Hands-on Tasks:

  • Generate and use JWT authentication tokens
  • Compare performance with and without caching
  • Monitor real-time metrics and rate limiting

Module 4: Testing & Quality (20 mins)

Objectives:

  • Execute comprehensive test suites with coverage
  • Perform load testing and security validation
  • Establish quality gates and benchmarks

Hands-on Tasks:

  • Run unit and integration tests with coverage
  • Execute load testing with 100+ concurrent requests
  • Validate security features and input sanitization

Module 5: Deployment & CI/CD (20 mins)

Objectives:

  • Deploy using Infrastructure as Code with Bicep
  • Configure CI/CD pipelines with GitHub Actions
  • Set up production monitoring and alerting

Hands-on Tasks:

  • Review and validate Bicep deployment templates
  • Understand CI/CD pipeline configuration
  • Optional: Deploy to Azure Container Instances

Module 6: Q&A & Next Steps (5 mins)

Focus Areas:

  • Enterprise adoption strategies and planning
  • Scaling considerations and best practices
  • Security and compliance requirements
  • Integration with existing enterprise systems

🏆 Success Criteria

Technical Achievements

  • Environment validated at 95%+ success rate
  • MCP server built and running with all features
  • Custom agent created with real Azure integration
  • Authentication implemented with JWT tokens
  • Performance optimized with caching and rate limiting
  • Testing completed with comprehensive validation
  • Deployment understanding of Infrastructure as Code

Learning Outcomes

  • Enterprise architecture patterns and best practices
  • Production security implementation and monitoring
  • Azure integration with real cloud services
  • DevOps excellence with CI/CD and automation
  • Quality assurance with comprehensive testing
  • Organizational readiness for enterprise adoption

📚 Additional Resources

Documentation

  • - Complete teaching materials
  • - Detailed configuration guide
  • - Development environment setup
  • - Hands-on workshop activities

Enterprise Materials

  • - Professional workshop presentation
  • - Detailed objectives and outcomes
  • - Post-workshop implementation guide

Support & Community

  • Workshop Validation: Use python test-workshop.py for environment testing
  • API Documentation: Auto-generated Swagger docs at /docs/ endpoint
  • Troubleshooting: Comprehensive guides in each module
  • GitHub Discussions: Community support and collaboration

🎉 Ready to Begin?

You're about to embark on a journey that transforms basic MCP understanding into enterprise-grade implementation capabilities. This workshop will equip you with production-ready skills and deployable systems.

Let's build something extraordinary together! 🚀

📞 Workshop Support

  • Pre-Workshop: Review and run environment validation
  • During Workshop: Ask questions immediately; don't fall behind
  • Post-Workshop: Use for enterprise implementation

This workshop represents the pinnacle of MCP server education - comprehensive, practical, and immediately applicable to real-world enterprise scenarios.