Model instances, storage, snapshots, and outbound traffic. Test pricing scenarios before scaling production cloud environments. Make capacity decisions using consistent cost breakdowns and totals.
Enter your own rates and usage assumptions for a region-specific estimate.
These sample scenarios illustrate how usage changes can affect your monthly estimate.
| Scenario | Instances | Hours | Hourly Rate | EBS GB | Transfer Out GB | Discount | Estimated Total |
|---|---|---|---|---|---|---|---|
| Development Stack | 2 | 730 | $0.096 | 200 | 300 | 20% | $190.61 |
| Production Web Tier | 4 | 730 | $0.192 | 500 | 1200 | 25% | $675.49 |
| Analytics Burst Fleet | 10 | 360 | $0.154 | 1000 | 2000 | 0% | $893.59 |
This approach lets you model effective rates from any region, contract, or pricing strategy without hard-coding a single AWS price list.
It estimates monthly and annual EC2-related spending using your own compute, storage, backup, transfer, IP, and surcharge assumptions.
No. You enter the rates yourself, which keeps the tool flexible for any region, contract, or internal chargeback model.
Yes. Enter your effective discount percentage to reduce compute charges and compare different commitment strategies.
These charges often scale differently from instance runtime, so separating them gives a more realistic infrastructure estimate.
Include them when your architecture uses public IPv4 addresses and you want a fuller monthly networking-related estimate.
Yes. Choose Spot as the pricing model and enter the effective rate you expect for your planned workload duration.
Yes. It works well for forecasting, customer quoting, project planning, and cost allocation across environments.
Always confirm live rates, region details, licenses, and traffic patterns against your AWS billing data before committing budget.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.