🤓 In data and ML projects, monolithic pipelines can become slow, fragile, and hard to scale, which often leads to their migration to a microservices architecture. Over the years, I’ve seen enough migrations to know that success depends more on reasoning and readiness than on the technology itself. Here are a few things I’ve noticed while working with teams on their ML pipelines.