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Embrace the Power of Small Scale for Faster and Reliable Systems
Minimizing complexity and scale by starting small leads to shrinking costs and complexity, as big machines are significantly harder to build. Going smaller, testing and proving small systems before scaling up enables faster progress and more reliable systems. This principle holds true not just for machine building, but also for building distributed systems, complex software systems, and organizations. Going big should only be considered when necessary, as it often leads to slower progress, reduced focus, and increased complexity.