This article was originally published on AI Study Room . For the full version with working code examples and related articles, visit the original post. Cloud Capacity Planning: Auto-Scaling, Reserved Instances, Spot Instances, and Demand Forecasting Cloud Capacity Planning: Auto-Scaling, Reserved Instances, Spot Instances, and Demand Forecasting Cloud Capacity Planning: Auto-Scaling, Reserved Instances, Spot Instances, and Demand Forecasting Cloud Capacity Planning: Auto-Scaling, Reserved Instances, Spot Instances, and Demand Forecasting Cloud Capacity Planning: Auto-Scaling, Reserved Instances, Spot Instances, and Demand Forecasting Introduction Capacity planning in the cloud is fundamentally different from traditional on-premises capacity management. Cloud elasticity theoretically eliminates capacity constraints, but without proper planning, organizations face unexpectedly high bills, performance degradation during traffic spikes, or both.…