IMO there are many many more reasons: - you need to iterate rapidly with with scale and reliability. if you have the right expertise this becomes very quick to

IMO there are many many more reasons: - you need to iterate rapidly with with scale and reliability. if you have the right expertise this becomes very quick to setup. it lets you focus 100% on product iterations. - you need (predictable) on-demand compute for crunching large amounts of data or running some batch jobs. it just doesn't make sense to do this on your own equipment. - your median cpu utilization is low, so you want to save costs and you move to a serverless architecture, effectively moving the cpu utilization you pay for to 100%. - But most importantly AWS isn't just compute and storage primitives: AWS has a vast array of abstractions on top of the cloud primitives: managed clusters, machine learning services, virtual desktops, app streaming, CI/CD pipelines, built-in IAM and Role based access control, to name a few !