data-pipelines - Distributed Thoughts

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data-pipelines

A collection of 5 posts

🎄 On the First Day of Debugging: The Twelve Characters of Christmas

🎄 On the First Day of Debugging: The Twelve Characters of Christmas

🎵 On the first day of debugging, production gave to me: An emoji that broke awk's field count tree 🎵 A Holiday Horror Story Friday morning. Coffee in hand. You commit a documentation change before the holiday break. You've decided to get EXTRA cool, nothing fancy, just adding

WebAssembly 3.0 and the Infrastructure We Actually Need

WebAssembly 3.0 and the Infrastructure We Actually Need

"We've finished the model... when do we get to the value?" Here's what I'm watching happen in real time: DevOps teams are spending $$$$$$ annually on cloud egress fees just to move ML models between environments, and flow data to centralized hosting. Platform

WTF Do You Spend $300B On?: The Oracle-OpenAI Deal Decoded

data infrastructure

WTF Do You Spend $300B On?: The Oracle-OpenAI Deal Decoded

Discover the challenges and expenses behind OpenAI's $300 billion Oracle deal, revealing a true AI cost breakdown: 80% data prep, 20% training

Why Your 'AI-Ready' Data Isn't: The Hidden Pipeline Problem Breaking Production AI

Companies spent millions on GPUs and AI talent, only to discover their data pipelines can't actually feed production AI. The revolution isn't waiting for better models—it's waiting for intelligent data pipelines.