Cloud Architect IQ demo
Requirements to a priced three-cloud comparison
Turn written requirements into Azure, AWS and GCP architectures, price each from the provider's public price list, and compare five-year cost with hard constraints applied first.
The challenge
Choosing a cloud usually means pricing one design in one vendor's calculator and estimating the others by hand, so the comparison is neither like for like nor reproducible.
The scenario
An enterprise architect has to recommend a cloud for a new customer-facing application with a managed Postgres database, an EU data-residency requirement and expected growth of about 20% a year, and must show the five-year cost of each option to the CFO.
What goes in
- Written requirements
- Workload description, availability target, data residency and expected growth.
- Comparison weights
- How much cost, operational effort and existing skills should count once the hard constraints are met.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “A customer-facing web app with a managed Postgres database, data kept in the EU, 99.9% availability, growing about 20% a year.”
- “Price this on Azure, AWS and GCP and show me the 60-month cost of each.”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
Structure the requirements
AI-inferredAI turns the written description into requirements and constraints you can review and edit.
Draft a design per cloud
RecommendationA proposed architecture for Azure, AWS and GCP appears on the design graph for the architect to adjust.
Price every component
SourceThe pricing engine matches each component to the provider's public price list in the chosen region; any meter it cannot match is listed as unresolved.
Forecast 12, 36 and 60 months
EstimateCost is projected with the stated growth from the stored price rows, so the forecast can be recomputed later.
Apply constraints, then score
ObservedOptions that break a hard constraint are excluded before the remaining ones are scored on the weights.
What you get
The shape of what comes back — not a promised result.
Priced bill of components per cloud
SourceEach component with its matched price-list row, region and unit price, and a list of anything left unresolved.
Five-year forecast
Estimate12, 36 and 60-month totals per cloud, marked incomplete wherever a meter could not be priced.
Side-by-side comparison
ObservedWhich options met the hard constraints, and how those that did scored on the weights.
Why it matters
- Like-for-like comparison
- One set of requirements priced on three clouds, instead of three calculators and a spreadsheet.
- A forecast that holds up
- Every figure traces to a public price-list row and can be reproduced when someone asks how it was reached.
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Want to try this with your own work?
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