Container Cost Calculator

Advanced Calculator

Enter your container profile, rates, and operational assumptions. Results appear above this form after submission.

Currency Code

vCPU per Container

Memory per Container (GB)

Replicas

Hours per Month

Monthly Requests

CPU Rate per vCPU Hour

Memory Rate per GB Hour

Average CPU Utilization (%)

Average Memory Utilization (%)

Storage (GB)

Storage Rate per GB Month

Monthly Egress (GB)

Egress Rate per GB

Load Balancer Monthly

Support Monthly

Observability (%)

Backup (%)

Platform Markup (%)

Reserved Discount (%)

Tax (%)

Example Data Table

Scenario	vCPU	Memory GB	Replicas	Hours	Storage GB	Egress GB	Monthly Requests
Small API	1	2	2	730	50	300	1,200,000
Medium App	2	4	4	730	120	900	4,500,000
High Traffic Worker	4	8	6	730	250	2200	12,000,000

Formula Used

CPU Base Monthly
vCPU per container × CPU rate × hours per month × replicas

Memory Base Monthly
Memory GB per container × memory rate × hours per month × replicas

Effective Compute
(CPU base × CPU utilization) + (memory base × memory utilization)

Compute After Discount
Effective compute − reserved discount amount

Pre-Overhead Subtotal
Compute after discount + storage + egress + fixed monthly charges

Pre-Tax Total
Subtotal + observability + backup + platform markup

Final Monthly Cost
Pre-tax total + tax

This model helps estimate practical hosting spend by combining compute usage, storage, traffic, fixed services, operations overhead, discounts, and taxes.

How to Use This Calculator

Enter a currency code for displayed totals.
Define container size with vCPU and memory values.
Set replica count and monthly running hours.
Enter provider rates for CPU, memory, storage, and egress.
Adjust utilization percentages to reflect real workload usage.
Add fixed charges like support and load balancers.
Include overhead, discount, and tax assumptions.
Submit the form to view totals, breakdowns, and the Plotly chart.
Use CSV and PDF buttons to export the current results.

FAQs

1. What does this calculator estimate?

It estimates monthly, annual, hourly, and request-based container hosting cost. The model includes compute, storage, network egress, fixed fees, observability, backup, markup, discounts, and taxes.

2. Why are utilization percentages included?

Utilization settings help reflect real-world usage. Many teams size containers for peak demand, but average runtime may use less CPU or memory. These fields make forecasts more practical.

3. Does the tool work for Kubernetes and serverless containers?

Yes. It works for any environment where you can estimate vCPU, memory, runtime hours, storage, and transfer costs. You only need to enter the matching pricing inputs.

4. What is the reserved discount field for?

It reduces effective compute cost to model savings from reservations, committed use, or negotiated agreements. It does not reduce storage, traffic, or fixed monthly fees in this version.

5. Why is cost per 10,000 requests useful?

That figure helps compare efficiency across environments, releases, or services. It is especially helpful when traffic changes often and you want an operational unit cost.

6. Should I include load balancers and support?

Yes. Many cloud bills grow because teams only count compute. Adding load balancers, support plans, and other fixed charges gives a more complete budget forecast.

7. Can I use this for budgeting multiple services?

Yes. Run one calculation per service, then combine exported CSV files or PDF reports. That approach makes it easier to compare workloads and prioritize optimization.

8. Is this an exact provider bill?

No. It is a planning estimator. Real invoices may include free tiers, minimum charges, regional pricing, burst usage, tiered transfer, and platform-specific billing rules.