Build accurate cost forecasts for hosted dashboards fast. Tune workloads, add-ons, and support levels easily. Download CSV or PDF, then present totals confidently anywhere.
| Scenario | vCPU | RAM (GB) | Storage (GB) | Egress (GB) | Region | Redundancy | Est. total / month |
|---|---|---|---|---|---|---|---|
| Starter dashboard | 2 | 8 | 100 | 200 | US/EU | Single | $210.00 |
| Team analytics | 4 | 16 | 250 | 600 | APAC | Multi-zone | $690.00 |
| Enterprise reporting | 8 | 32 | 500 | 1500 | Middle East | Multi-zone | $1,780.00 |
Dashboard stacks mix steady baseline services with traffic bursts. This estimator isolates compute, storage, and outbound data so you can see what changes the bill. For always-on services, 730 hours per month is a practical planning constant. For spiky workloads, keep hours realistic and raise egress and logs for peak reporting windows. Editable unit prices make vendor comparison straightforward. Add-ons like CDN and firewall are modeled as flat fees for quick comparisons.
Compute is modeled as vCPU and RAM priced per hour, multiplied by monthly hours. It helps translate right-sizing into money: removing one vCPU at $0.040 per hour saves about $29.20 per month at 730 hours. Memory frequently drives analytics stability; adding RAM can reduce retries and timeouts even if the line item rises. Treat this section as capacity planning, then recalibrate after load tests.
Storage is simple: GB-month times a unit rate. Egress is volatile because dashboards export charts, download files, and call APIs. Moving from 500 GB to 1,500 GB at $0.09 per GB adds $90 monthly before multipliers. Monitoring, logs, and backups are quieter costs that scale with usage and compliance. Track ingestion volume and retention policies to avoid surprises. Consider retention in days and compress logs before sending to reduce GB.
Regional multipliers approximate pricing uplift across locations. Redundancy multipliers reflect multi-zone designs that require extra capacity, health checks, and sometimes cross-zone traffic. If your uptime target is strict, model multi-zone and include a contingency buffer for failover drills and patch windows. If budgets are tight, start single-zone and quantify the upgrade premium for stakeholders.
Commitment discounts are applied after multipliers to mirror contracted savings. Credits reduce spend directly and help model promotional periods. Support is calculated as a percentage with a minimum monthly floor, which matches common commercial structures. Tax and contingency are then added to create a finance-ready total. Export CSV for budget sheets and PDF for approvals, then compare scenarios side by side. Use the breakdown table to justify spending, and to negotiate better rates with vendors.
For always-on services, use 730 hours. If you schedule downtime or scale to zero overnight, reduce the hours to match your actual runtime and recheck the estimate.
Increase egress, log ingestion, and monitoring hosts first, then adjust vCPU and RAM for query load. Add a contingency buffer to cover peak weeks and unknown add-ons.
They are planning factors, not official rates. Use them to approximate uplift across locations and high-availability designs, then replace unit prices with your provider’s published values.
Many support plans apply a percentage of spend but also enforce a monthly minimum. The calculator mirrors that structure so small workloads still reflect realistic support costs.
Enter your expected commitment discount as a percentage and credits as a monthly dollar amount. Use conservative values unless contracts are signed, and run a “no discount” scenario for risk planning.
Export CSV for budgeting worksheets and PDF for approval packets. Include the breakdown table so reviewers can see which line items dominate and what assumptions changed between scenarios.
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.