Build the orchestrator layer of an A2A multi-agent system in Node.js. Covers Agent Card fetching, skill-based task routing, concurrent task execution, multi-turn interaction handling, and a complete working orchestrator you can run against the servers from Parts 3 and 4.
Category: Architecture
Building A2A Agent Servers in Python and C# (Part 4 of 8)
Implement a fully A2A-compliant agent server in both Python (FastAPI) and C# (ASP.NET Core). Same Inventory Management Agent from Part 3, same architecture, two more languages. Production-ready patterns for enterprise teams.
Building Your First A2A Agent Server in Node.js (Part 3 of 8)
Build a fully functional A2A-compliant agent server in Node.js from scratch. Covers the Agent Card endpoint, JSON-RPC task handler, SSE streaming, in-memory task store, push notification support, and a working test client.
A2A Protocol Core Architecture: Agent Cards, Tasks, and Message Flow (Part 2 of 8)
Understand how the A2A protocol works under the hood. This deep dive covers Agent Cards, JSON-RPC message formats, task lifecycle states, SSE streaming, and the complete request-response flow between agents.
What is the A2A Protocol and Why It Matters in 2026 (Part 1 of 8)
The Agent2Agent (A2A) protocol is the new open standard for AI agent interoperability. Learn what it is, how it differs from MCP, why 50+ enterprise partners are backing it, and why every enterprise developer needs to understand it in 2026.
Multi-Agent Orchestration with Azure AI Foundry: Coordinating Specialized Agents at Scale (Part 4 of 8)
Single agents demonstrate impressive capabilities for focused tasks, but complex business processes often require coordination among multiple specialized agents working together. Multi-agent orchestration enables sophisticated
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
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
Azure AI Foundry Deep Dive Series Part 2: Building Production AI Applications with Enterprise Architecture
Learn how to build production-ready AI applications using Azure AI Foundry. This comprehensive guide covers architecture patterns, security implementation, cost optimization strategies, and operational best practices for enterprise deployments.
Real-Time Sentiment Analysis with Azure Event Grid and OpenAI – Part 1: Architecture Foundation and Event-Driven Design
In today’s digital landscape, understanding customer sentiment in real-time has become crucial for business success. Whether it’s analyzing social media mentions, product reviews, support tickets,
