π AUTHORITY NOTE Drawing from 20+ years of enterprise architecture experience and having migrated dozens of production systems to serverless, representing millions of Lambda invocations monthly. This is battle-tested, production-proven knowledge. Executive Summary There’s a moment in every architect’s career when a technology fundamentally rewrites your mental model of how systems should work. For me, […]
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Cloud-Native AI Architecture: Patterns for Scalable LLM Applications
Cloud-Native AI Architecture: Patterns for Scalable LLM Applications Expert Guide to Building Scalable, Resilient AI Applications in the Cloud I’ve architected AI systems that handle millions of requests per day, scale from zero to thousands of concurrent users, and maintain 99.99% uptime. Cloud-native architecture isn’t just about deploying to the cloudβit’s about designing systems that […]
Read more βAgent Memory and State Management: Building Persistent AI Agents
Building agents without memory is like building amnesiac assistants. After implementing persistent memory across 8+ agent systems, task completion improved by 60%. Here’s the complete guide to building agents that remember. Figure 1: Agent Memory Architecture Why Agent Memory Matters: The Cost of Amnesia Agents without memory face critical limitations: No context: Can’t remember previous […]
Read more βMastering Agent Communication Patterns in Microsoft AutoGen: From Two-Agent Chats to Complex Orchestration
π Part 2 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems π Microsoft AutoGen Series Introduction to Agentic Development Agent Communication Patterns Automated Code Generation RAG Integration Production Deployment Advanced Patterns β Previous: Part 1 Next: Part 3 β Building on the core concepts from Part 1, this article explores the communication patterns that […]
Read more βReal-Time Healthcare Data Pipelines: Kafka + FHIR for Clinical Decision Support
Build production-ready real-time clinical decision support systems using Apache Kafka and FHIR. Includes complete .NET/Python code, architecture patterns, and lessons from processing millions of healthcare events per day.
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