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Design an automated capacity planning system with demand forecasting, reservation management, bin-packing optimization, failure domain headroom, and what-if modeling for a 10,000-server fleet.
## Problem
Your organization operates a fleet of 10,000 servers across 5 regions, running hundreds of services with different resource profiles. Capacity planning is currently manual — engineers request resources via tickets, and SRE guesses how much to provision based on experience. This leads to either over-provisioning (wasting money) or under-provisioning (causing outages). Design an automated capacity planning system that forecasts demand, optimizes resource allocation, and ensures resilience to failure domain losses.
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