Cloud / FinOps / DevOps

Cloud cost & capacity calculators

Estimate egress, logs, storage, EC2, CDN, and Kubernetes capacity with clear assumptions. Use the same workload profile to compare scenarios, validate pricing, and plan budgets faster.

Browse tools Start with guides Estimate egress Compare CDN cost

Review how this site works

CloudCostKit is designed to be reviewable, not mysterious. Use the trust path below to see what the site is for, how pages are maintained, how estimates are validated, and where to report a correction.

About the site
Who the site serves, what decisions it supports, and what it does not replace.
Editorial standards
How topics qualify for publication, review, consolidation, or rewrite.
Methodology
How calculator and guide workflows are built, validated, and challenged.
Report a correction
Send a bug report, estimate mismatch, or unclear boundary with the details needed to review it.

Best places to start right now

These are the workflows already showing live search demand, so they are strong entry points whether you are budgeting, comparing providers, or investigating a spike.

CDN cost and pricing
High search demand topic: compare bandwidth, requests, and origin-side spillover.
EC2 monthly cost
Turn instance-hours and blended hourly rates into a fast baseline vs peak estimate.
Egress and transfer charges
Separate internet, cross-region, cross-AZ, and origin-to-CDN before you trust the number.
Cloud Run pricing inputs
Requests, CPU, memory, egress, and logs in one calculator-ready checklist.

Featured tools

CDN Cost Calculator
Estimate total CDN cost from bandwidth and request pricing.
Networking
Storage Pricing Calculator
Estimate object storage pricing from GB-month, requests, and egress.
Storage
Data Egress Cost Calculator
Estimate monthly egress spend from GB transferred and $/GB pricing.
Networking
Log Ingestion Cost Calculator
Estimate monthly log ingestion cost from GB/day or from event rate and $/GB pricing.
Logging
Storage Replication Cost Calculator
Estimate replication transfer/storage cost from replicated GB and $/GB pricing.
Storage
Kubernetes Cost Calculator
Estimate cluster cost by sizing nodes from requests and pricing them.
Kubernetes

Guides

Understanding egress costs
How to estimate bandwidth and avoid billing surprises.
Estimating log costs
Ingestion vs retention, steady state, and knobs that matter.
CDN cost breakdown
Bandwidth, requests, cache fill, and origin egress explained.
Kubernetes cost modeling guide
What to include beyond nodes: storage, egress, load balancers, and observability.
S3 replication cost
How to estimate replicated GB/month, replica storage, and transfer fees.
Copy storage pricing
Transfer, requests, and extra storage when data moves.
Azure Container Registry pricing
Estimate storage, pull-heavy traffic, and geo-replication before registry usage spikes.
GCP Cloud Run pricing
Model requests, CPU, memory, cold starts, and egress with deployment-ready assumptions.

What these tools are for

  • Budgeting: get quick back-of-the-napkin estimates.
  • Comparisons: evaluate regions, tiers, and workload shapes.
  • Right-sizing: translate app requirements into capacity numbers.

What to verify

Provider pricing varies by region, tiers, free allowances, request classes, and rounding rules. Always confirm assumptions in official docs before committing spend.

Questions and feedback

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Pick a starting path (by your cost problem)

Network bill spikes
Start with egress boundary split: internet, cross-region, cross-AZ, and origin-to-CDN.
Observability cost growth
Model ingestion, retention, and scan/query separately before tuning dashboards.
Storage keeps growing
Use GB-month growth and lifecycle scenarios instead of month-end snapshots.
Kubernetes budget drift
Start from requests and node sizing, then add networking, logs, and load balancers.

What makes these estimates more reliable

  • Driver-first modeling: requests, GB, GB-month, and hours before pricing detail.
  • Boundary-first networking: we split traffic paths to avoid hidden transfer mistakes.
  • Baseline + peak: each core workflow encourages incident and launch scenarios.
  • Calculator + guide pairing: each estimate has a matching explanation page for validation.
  • No black-box formulas: assumptions are explicit so teams can challenge and update them.