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Single Agent Implementation with Semantic Kernel: Complete Guide to Building Autonomous Agents (Part 3 of 8)
Azure AI Foundry Foundation Setup: Complete Development Environment Guide (Part 2 of 8)
Azure AI Foundry Agentic AI: Enterprise Business Automation Revolution (Part 1 of 8)
Real-World Case Studies: Enterprise AI Agents Delivering Production ROI
Security and Threat Mitigation for Enterprise AI Agents
Integration with Existing Enterprise Systems for AI Agents
Monitoring, Observability and Governance Frameworks for Enterprise AI Agents
Production Deployment Strategies for AI Agents at Scale
Multi-Agent Orchestration Patterns and Architecture for Enterprise AI
Building Autonomous AI Agents with Model Context Protocol 
Python’s rich ecosystem and async capabilities make it an excellent choice for building AI applications with Claude in Azure AI Foundry. This comprehensive guide demonstrates
Comprehensive guide to building production-ready Node.js applications with Claude in Azure AI Foundry. Learn environment setup, TypeScript configuration, basic and advanced chat implementations, Entra ID authentication, multi-turn conversations, streaming responses, error handling with exponential backoff, cost optimization through prompt caching, and complete application examples.
Explore Claude Sonnet 4.5, Anthropic’s most powerful coding model with 30+ hour autonomous operation, 77.2% SWE-bench score, and comprehensive API integration examples in Python, Node.js, and C#.
Step-by-step guide to deploying Claude models in Azure AI Foundry. Learn how to create AI Foundry hubs and projects, deploy Claude Sonnet 4.5, Opus 4.5, and Haiku 4.5, configure Microsoft Entra ID or API key authentication, verify deployments, understand rate limits and quotas, and implement deployment best practices for production environments.
Comprehensive guide to integrating Anthropic Claude models with Azure AI Foundry. Learn why Azure is now the only cloud platform offering both Claude and GPT models, understand Claude Sonnet 4.5, Opus 4.5, and Haiku 4.5 capabilities, explore pricing and strategic model selection, and discover the business value of multi-model AI strategies.
Master production observability with OpenTelemetry and Azure Monitor. Learn intelligent sampling strategies, actionable alerting patterns, performance optimization, cost management, operational dashboards, and incident response integration for enterprise-scale applications.
Implement custom business metrics with OpenTelemetry counters, histograms, and gauges in .NET, Node.js, and Python. Learn instrument selection, cardinality optimization, Azure Monitor querying with KQL, and building actionable dashboards for production observability.
Master distributed tracing across microservices with OpenTelemetry and Azure Monitor. Learn W3C TraceContext propagation, automatic and manual context injection, cross-service correlation in .NET, Node.js, and Python, and troubleshooting broken traces in production environments.
Instrument Python Flask and FastAPI applications with Azure Monitor OpenTelemetry Distro for comprehensive observability. Learn automatic instrumentation, custom spans with tracers, custom metrics, logging integration, database tracking, and production configuration patterns.
.NET developers can instrument ASP.NET Core applications with OpenTelemetry and Azure Monitor in minutes. Learn automatic instrumentation, custom spans with Activity and ActivitySource, custom metrics implementation, and production configuration patterns for comprehensive observability.
