Cloud cost & capacity calculators
Estimate egress, logs, storage, and Kubernetes capacity with clear assumptions. Use this site to compare scenarios and plan budgets.
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 calculator checklist
What to include beyond nodes: storage, egress, load balancers, and logs.
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 cost guides
Blob Storage, AKS, Functions, networking, load balancing, and logs.
GCP cost guides
Cloud Storage, GKE, Cloud Run/Functions, egress, logging, and BigQuery.
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 or feedback: Email us .
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.
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