CloudEstimate

Size self-managed workloads across Google Cloud, AWS, and Azure.

Reference-architecture-based sizing and monthly cost estimates, served from precomputed artifacts.

No signup, no guessing.

Available workloads 24 shown

How it works

Reference architecture in, estimate out.

Published vendor reference architectures are mapped to cloud instance shapes, then priced against cached regional snapshots. This follows the Precomputed AI design pattern: versioned artifacts serve the common path instantly.

What's not modelled

Useful constraints, stated plainly.

  • Vendor licensing and support
  • Network egress and backups
  • Compliance controls and DR topologies

Who built this

Built as a focused, opinionated utility.

CloudEstimate is a personal project by Regnard Raquedan and a worked example of the Precomputed AI design pattern. The short version and citations are on About.