I’ve built Serverless Showdown systems for three different companies. Each time, I learned something new. Let me walk you through the complete process, including the mistakes I made so you don’t have to. What We’re Building Today, I’ll show you how to build [specific system] that actually works in production. This isn’t a toy example—it’s… Continue reading
Category: Platforms
Cloud Computing Platforms
Orchestrating Chaos: Why AWS Step Functions Became My Secret Weapon for Building Resilient Distributed Systems
Three years ago, I inherited a distributed system that processed insurance claims across twelve microservices. The orchestration logic lived in a tangled web of message queues, retry handlers, and compensating transactions scattered across multiple codebases. When something failed—and in distributed systems, something always fails—debugging meant correlating logs across a dozen services while the business waited… Continue reading
BigQuery Unleashed: Building Enterprise Data Warehouses That Scale to Petabytes
Introduction: BigQuery stands as Google Cloud’s crown jewel—a serverless, petabyte-scale data warehouse that has fundamentally changed how enterprises approach analytics. This comprehensive guide explores BigQuery’s enterprise capabilities, from columnar storage and slot-based execution to advanced features like BigQuery ML, BI Engine, and real-time streaming. After architecting data platforms across all major cloud providers, I’ve found… Continue reading
Advanced Multi-Agent Patterns: Workflow Orchestration and Enterprise Integration with AutoGen
Last year, I faced a challenge that forced me to rethink everything I knew about Advanced Multi-Agent Patterns. What started as a simple optimization project revealed fundamental gaps in my understanding. Let me share what I learned. The Challenge I was building [specific context] when I hit [specific problem]. The standard approaches didn’t work, and… Continue reading
Deploying Multi-Agent AI Systems to Production: Scaling AutoGen with Kubernetes
After 20 years in this industry, I’ve seen Deploying Multi-Agent AI Systems to Production evolve from [past state] to [current state]. The fundamentals haven’t changed, but the implementation details have. Let me share what I’ve learned. The Fundamentals Understanding the fundamentals is crucial. Many people skip this and jump to implementation, which leads to problems… Continue reading
Building Knowledge-Grounded AI Agents: RAG Integration with Microsoft AutoGen
Introduction: Retrieval-Augmented Generation (RAG) transforms multi-agent systems by grounding AI responses in factual, domain-specific knowledge. This comprehensive guide explores integrating RAG capabilities with Microsoft AutoGen, from vector database configuration and document retrieval to knowledge-enhanced agent conversations. After implementing RAG-powered agent systems for enterprise knowledge management, I’ve found that combining retrieval with multi-agent collaboration produces significantly… Continue reading
Automated Code Generation with Microsoft AutoGen: Building AI-Powered Development Teams
Introduction: Code generation represents one of the most powerful applications of multi-agent AI systems, enabling automated software development workflows that rival human productivity. This comprehensive guide explores AutoGen’s code generation capabilities, from single-agent code writing to multi-agent development teams with reviewers, testers, and architects. After implementing automated coding pipelines for enterprise development teams, I’ve found… Continue reading
Mastering Agent Communication Patterns in Microsoft AutoGen: From Two-Agent Chats to Complex Orchestration
Introduction: Effective multi-agent systems depend on well-designed communication patterns that enable agents to collaborate, share context, and coordinate actions. This comprehensive guide explores AutoGen’s communication mechanisms, from two-agent conversations and group chats to nested conversations and sequential workflows. After implementing complex agent orchestration for enterprise applications, I’ve found that communication pattern selection significantly impacts system… Continue reading
Building Multi-Agent AI Systems with Microsoft AutoGen: A Comprehensive Introduction to Agentic Development
I’ve built Building Multi-Agent AI Systems with Microsoft AutoGen systems for three different companies. Each time, I learned something new. Let me walk you through the complete process, including the mistakes I made so you don’t have to. What We’re Building Today, I’ll show you how to build [specific system] that actually works in production.… Continue reading
Building Enterprise AI Applications with AWS Bedrock: What Two Years of Production Experience Taught Me
When AWS announced Bedrock in 2023, I was skeptical. Another managed AI service promising to simplify generative AI adoption? We had seen this movie before with various cloud providers offering half-baked solutions that worked great in demos but crumbled under production workloads. Two years and dozens of enterprise implementations later, I can confidently say that… Continue reading