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.
Author: Chandan
Claude Sonnet 4.5: A Comprehensive Guide to Anthropic’s Most Powerful Coding Model
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#.
Azure AI Foundry with Anthropic Claude Part 2: Deployment Fundamentals – Complete Step-by-Step Guide
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.
Azure AI Foundry with Anthropic Claude: Complete Guide Part 1 – Strategic Overview and Introduction
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.
Azure Monitor with OpenTelemetry Part 7: Production Monitoring and Observability Patterns
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.
Azure Monitor with OpenTelemetry Part 6: Custom Metrics and Advanced Telemetry
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.
Azure Monitor with OpenTelemetry Part 5: Distributed Tracing Across Microservices
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.
Azure Monitor with OpenTelemetry Part 4: Python Applications with OpenTelemetry and Azure Monitor
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.
Azure Monitor with OpenTelemetry Part 2: Setting Up OpenTelemetry in .NET Applications
.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.
Multi-Model Orchestration: Claude, GPT-4, and Gemini in Azure AI Foundry
Azure AI Foundry provides access to Claude, GPT-4, and Gemini models in a single platform. Multi-model orchestration allows you to leverage each model’s strengths, implement
