Research
Research
Discussion
I came across this article on and found it grounded in real system behavior rather than tools. It walks through patterns that show up when supporting ML and AI workloads at scale. After reading this , I was curious to hear from others here: which patterns you rely on most, which ones failed under scale and patterns you think are overused. I am keen on hearing more about failures and lessons learned than success stories from people who have been there and done that.