Cloud Hosting Cost Estimator
Free cloud hosting cost estimator — monthly compute, storage, and bandwidth estimates.
Pricing disclaimer: Pricing on this page may be incorrect, incomplete, or out of date. These are unofficial estimates only — not quotes from AWS, Azure, Google, OpenAI, Anthropic, NVIDIA, DigitalOcean, or any other provider. You must check the official company website for accurate pricing before budgeting, purchasing, or making architecture decisions.
Important: By using this page, you agree that calculator, estimator, or tool results, charts, About explanations, quick tips, and formulas are for informational use only — not professional advice. You assume all risks of relying on them. See the full disclaimer below and our Terms of Service.
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How it works
Enter instances, hourly rate, hours, storage GB, and bandwidth for total monthly cloud cost.
About Cloud Hosting Cost Estimator
Informational only — not professional advice. Report an error.
Not every hosting decision maps cleanly to a single cloud vendor badge. Maybe you are comparing a DigitalOcean droplet quote against an EC2 t3.medium, or modeling a hybrid setup where compute runs on one provider and object storage on another. Managed platforms, VPS providers, colocation quotes, and multi-cloud footprints all reduce to the same financial skeleton: compute hours, storage gigabytes, and bandwidth gigabytes.
This cloud hosting cost estimator is provider-agnostic — you supply hourly instance rate, instance count, runtime hours, storage, and egress prices from whatever quote or pricing page you are evaluating. The formula mirrors hyperscaler billing at a high level. Compute is instances × hourly rate × hours. Storage is capacity times per-GB-month rate. Bandwidth is outbound data times per-GB egress rate.
Because you control every rate field, you can paste effective numbers from reserved capacity, committed spend, or startup credits without fighting preset labels. Totals exclude databases, load balancers, managed Kubernetes control planes, support contracts, and licensing — add those as separate rows in your spreadsheet after you get the baseline here.
Annual projection (monthly × 12) helps compare against annual prepay discounts some VPS hosts offer. High-availability designs duplicate compute across zones, so double instance count or add load balancer fees when modeling production rather than dev. Managed databases often cost more than the VMs serving HTTP traffic; treat this estimate as the compute slice of a larger architecture diagram. Support tiers, IPv4 address rental, and SSL certificate costs sit outside this model but matter for public-facing sites.
Re-run the calculator when you right-size instances after load testing — many teams overprovision CPU and discover storage or bandwidth is the real growth vector. Revisit quarterly as reserved capacity and spot markets shift effective hourly rates. Run AWS, Azure, and GCP calculators when you want vendor presets instead of manual rates.
Quick tips
- Paste your actual quoted hourly rate — presets are starting points, not contracts.
- Use measured egress from current logs; guessing low hides the steepest scaling cost.
- 730 hours assumes always-on; dev/staging environments often run half that or less.
- Add database, CDN, and managed service fees outside this three-line model.
- Run AWS, Azure, and GCP calculators when you want vendor presets instead of manual rates.
Formulas
computeCost = instances × pricePerHour × hoursPerMonthstorageCost = storageGb × storagePricePerGbbandwidthCost = bandwidthGb × bandwidthPricePerGbtotalMonthly = computeCost + storageCost + bandwidthCost
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