Master the five orchestration patterns: Sequential, Concurrent, Handoff, Group Chat, and Magentic. Learn when to use each pattern.
Read more →Month: November 2025
The Dawn of .NET 10 and C# 14: A New Era of Performance and Language Innovation Arrives
Introduction: After more than two decades building enterprise applications on the Microsoft stack, I’ve witnessed every major evolution of .NET—from the original Framework through the tumultuous transition to Core, and now to the unified platform that .NET 10 represents. Released on November 11, 2025, this Long-Term Support (LTS) release marks a significant milestone in the […]
Read more →Tips and Tricks – Use Web Workers for Heavy Computations
Move CPU-intensive tasks off the main thread to keep the UI responsive.
Read more →Case Study: Enterprise Healthcare Integration – Building a HIPAA-Compliant Patient-Provider Platform
The Challenge: Healthcare Integration at Scale Solution Architecture: High-Level Design (HLD) ⚖️ COMPLIANCE HIPAA Requirements Met: All PHI encrypted using AES-256 (at rest) and TLS 1.3 (in transit). Comprehensive audit logging captures all data access events with immutable records stored in Azure Monitor. Access controls implement principle of least privilege using Azure AD RBAC with […]
Read more →Spark Isn’t Magic: What Twenty Years of Data Engineering Taught Me About Distributed Processing
🎓 AUTHORITY NOTE Drawing from 20+ years of data engineering experience across Fortune 500 enterprises, having architected and optimized Spark deployments processing petabytes of data daily. This represents production-tested knowledge, not theoretical understanding. Executive Summary Every few years, a technology emerges that fundamentally changes how we think about data processing. MapReduce did it in 2004. […]
Read more →Data Pipelines for LLM Training: Building Production ETL Systems
Building production ETL pipelines for LLM training is complex. After building pipelines processing 100TB+ of data, I’ve learned what works. Here’s the complete guide to building production data pipelines for LLM training. Figure 1: LLM Training Data Pipeline Architecture Why Production ETL Matters for LLM Training LLM training requires massive amounts of clean, processed data: […]
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