Build a production-grade LLMOps platform using open source tools. Complete guide with Kubernetes deployments, GitHub Actions CI/CD, vLLM model serving, and Langfuse observability.
Read more →Month: September 2025
The Serverless Revolution: Why AWS Lambda Changed Everything I Thought I Knew About Building Scalable Systems
🎓 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, […]
Read more →Building Chat Interfaces for AI: Design Patterns and Best Practices
Building Chat Interfaces for AI: Design Patterns and Best Practices Expert Guide to Creating Intuitive, Accessible, and Performant AI Chat Interfaces I’ve designed and built chat interfaces for over 20 AI applications, and I can tell you: the difference between a good chat interface and a great one isn’t the AI—it’s the UX. A well-designed […]
Read more →The Great Frontend Shift: How React Server Components Are Rewriting the Rules of Web Development
Something fundamental shifted in frontend development in 2024, and most developers are still catching up. React Server Components (RSC) represent the most significant architectural change to React since hooks, fundamentally rethinking where code executes and how data flows through modern web applications. After building production systems with RSC for the past year, I’ve come to […]
Read more →Enterprise GenAI: Taking AI Applications from Prototype to Production at Scale
Deploy GenAI at enterprise scale. Learn model routing, observability, security patterns, cost management, and what the future holds for AI in production.
Read more →Real-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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