Techniques for predictive autoscaling and resource optimization of software deployments. In an implementation, users declare performance objectives, and machine learning of application behavior and load profile is to used to determine minimum cost resourcing to meet the declared performance objectives. In an embodiment, convergent deployments are monitored and related feedback is provided to improve forecasting, behavior modeling, and resource estimation over time.