Master production deployment of MCP servers with Kubernetes orchestration, CI/CD automation, OpenTelemetry monitoring, and performance optimization strategies for enterprise-scale AI integration.
Category: Cloud Technologies
Model Context Protocol Part 5: Integrating MCP Servers with Azure AI Foundry and Claude
Connect MCP servers to Azure AI Foundry and Claude with practical integration examples. Learn configuration, authentication, and cross-platform orchestration patterns for enterprise AI deployments.
Model Context Protocol Part 4: Enterprise Integration Patterns – Security, Scaling, and Production Deployment
Master enterprise MCP integration with OAuth 2.1 authentication, role-based access control, monitoring, scaling, and security best practices. Production-ready patterns for deploying MCP servers at scale.
Model Context Protocol Part 3: Building MCP Servers in Node.js and C# – Cross-Platform Implementation Guide
Master MCP server development across platforms. Comprehensive guide comparing Node.js TypeScript and C# .NET implementations with production-ready code examples, deployment strategies, and platform selection guidance.
Model Context Protocol Part 2: Building Your First MCP Server with Python and FastMCP
Learn to build production-ready MCP servers with Python and FastMCP. Step-by-step guide covering tools, resources, database integration, error handling, testing, and Claude Desktop integration with complete working examples.
Model Context Protocol Part 1: Understanding the New Standard for AI-Data Integration
Explore the Model Context Protocol (MCP), the emerging standard for AI-data integration. Learn MCP’s client-host-server architecture, JSON-RPC messaging, capability negotiation, and how it solves the enterprise AI integration challenge.
Azure AI Foundry in 2025: Building Your First AI Agent – Part 4 (Final)
Deploy your Azure AI agent to production with Docker, Container Apps, CI/CD, and monitoring.
Azure AI Foundry in 2025: Building Your First AI Agent in 30 Minutes – Part 3
Write production-ready code for your Azure AI Foundry agent. Part 3 covers Python, Node.js, and C# implementations with error handling, retry logic, configuration management, and local testing.
Azure AI Foundry in 2025: Building Your First AI Agent in 30 Minutes – Part 2
Build your first AI agent with Azure AI Foundry. Part 2 covers system instructions, RAG implementation, File Search tool configuration, knowledge base upload, and agent testing. Transform your deployed model into an intelligent customer support agent.
Azure AI Foundry in 2025: Building Your First AI Agent in 30 Minutes – Part 1
Learn how to build your first AI agent using Azure AI Foundry in 2025. Part 1 covers setup, prerequisites, project creation, and model deployment. Start your journey to creating intelligent, production-ready AI agents in just 30 minutes.
