Understand the fundamentals of OpenTelemetry and why Azure Monitor adopted this vendor-neutral observability framework. Learn about the three pillars of observability, OpenTelemetry architecture, Azure Monitor Distro, and key differences from legacy Application Insights SDKs.
Category: Azure
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
OpenTelemetry for Node.js with Azure Monitor: Complete Implementation Guide
Learn how to implement OpenTelemetry instrumentation for Node.js applications with Azure Monitor. Complete guide covering Express and Fastify frameworks, automatic instrumentation, custom spans, custom metrics, production configuration, and migration from legacy Application Insights SDK.
Cost Optimization Strategies for Azure AI Foundry Claude Deployments
Azure AI Foundry deployments of Claude can quickly become expensive at scale without proper cost management. Understanding the pricing model, implementing intelligent caching, choosing appropriate
Building Production RAG Systems with Azure AI Foundry and Claude
Production RAG systems transform Claude from a general-purpose assistant into a domain expert grounded in your enterprise data. Building reliable, scalable RAG architectures in Azure
Azure Event Grid vs Event Hubs vs Service Bus: Complete Technical Comparison
When building distributed systems on Azure, choosing the right messaging service can make the difference between a resilient, scalable architecture and one plagued with bottlenecks
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.
Advanced Prompt Engineering Patterns for Claude in Azure AI Foundry
Prompt engineering has evolved from simple question-and-answer interactions to sophisticated patterns that unlock Claude’s full potential in Azure AI Foundry. As enterprises deploy Claude at
Vector Databases Part 8: Lessons Learned and Reality Check
The vector database market exploded from $2.2 billion in 2024 with promises of revolutionizing AI applications, yet the reality reveals a stark gap between marketing
Vector Databases Part 7: Production Deployment Patterns and Operations
Moving vector databases from development to production requires addressing challenges that prototype implementations ignore including high availability, disaster recovery, cost optimization, and operational monitoring. Production
