Cloud Infrastructure Cost Estimator

1. Compute: Service Instances

This section tracks your primary virtual machines or container instances.

Service Name

Hourly Rate ($)

Usage (Hrs / Day)

Monthly Cost (Rate * Usage * 30.5)

Example: Web Server (m5.large)
$0.12
24
$87.84
 
 
 
$0.00
 
 
 
$0.00
 
 
 
$0.00
 
 
 
$0.00
 
 
 
$0.00
 
 
 
$0.00
 
 
 
$0.00
 
 
 
$0.00
 
 
 
$0.00

2. Data Storage

Monthly costs for Block Storage (EBS), Object Storage (S3), or Database disks.


Storage Type:

Total Capacity (GB):

Price per GB ($):


Monthly Storage Total ($):

$0.00

3. Networking & Data Transfer

Costs associated with moving data across regions or out to the internet.


Data Transfer Out (GB / Month):

Price per GB ($):

Load Balancer Fees:


Networking Total ($):

$0.00

4. Database & Manager Services

Dedicated costs for RDS, Cache (Redis), or Serverless functions (Lambda).


Database Instance Cost:

Backup / Snapshot Storage:

Managed Services Total:

$0.00

5. Summary

Calculate your total estimated spend below.


Total Compute (Section 1):

$87.84

Total Storage (Section 2):

$0.00

Total Networking (Section 3):

$0.00

Total Database (Section 4):

$0.00

Grand Total Monthly Spend:

$87.84

Form Template Insights

Please remove this form template insights section before publishing.


To ensure this form is functional and professional, you should focus on data integrity and structural clarity. These insights describe the best practices for setting up the fields, validation rules, and layout without including specific cost-saving advice.

General Form Template Insights

1. Data Validation & Precision

  • Decimal Constraints: For the "Hourly Rate" in Section 1, the input should be restricted to a currency data type with a fixed two-decimal precision. This prevents calculation errors caused by floating-point numbers or overly specific fractions of a cent.
  • Non-Negative Inputs: All numeric fields should be set to "greater than or equal to zero." This prevents users from accidentally entering negative values that would mathematically subtract from the budget.
  • Integer Enforcement: Fields like "Usage (Hours per Day)" or "Total GB" are best served as integers (whole numbers) to simplify the user experience and maintain standard billing units.

2. Calculation Transparency

  • Read-Only Output Fields: The "Total" fields in each section and the "Grand Total" in Section 5 should be locked or read-only. This ensures the math remains consistent and prevents users from manually overriding calculated sums.
  • Standardized Constants: The form should use a globally defined constant for the monthly multiplier (e.g., 30.5). Hardcoding this into the background logic ensures that every server instance in Section 1 is calculated against the same time period.

3. Visual Hierarchy & Grouping

  • Subtotal Isolation: Each of the five sections should conclude with a distinct "Subtotal" line. This allows users to identify which category is the primary "cost driver" before reaching the final summary.
  • Units of Measure: Every input field should explicitly state its unit (e.g., "per GB", "per Hour", or "Monthly"). This removes ambiguity for the person filling out the form, ensuring they don't enter an annual price into a monthly field.

4. Summary Consolidation

  • Direct Mapping: Section 5 (the Summary) should act as a reflection point. The data should be pulled directly from the subtotal fields of previous sections rather than requiring the user to re-input any data.
  • Alignment: Using a table format for the final summary improves scannability. Aligning the category names to the left and the dollar amounts to the right is the standard convention for financial summaries.

5. Instructional Context

  • Section Descriptions: Providing a brief one-sentence description at the start of each section clarifies what specific resources belong there (e.g., clarifying that "Storage" refers to disk space, while "Managed Services" refers to high-level platform tools).
  • Placeholder Examples: Using "Ghost Text" or placeholders (like $0.00) provides a visual cue for the expected format without populating the actual data fields.
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