Ec2 Calculator

AWS EC2 Instance Cost Calculator :root { –primary-color: #004a99; –secondary-color: #007bff; –success-color: #28a745; –danger-color: #dc3545; –warning-color: #ffc107; –info-color: #17a2b8; –light-color: #f8f9fa; –dark-color: #343a40; –text-color: #333; –border-color: #ccc; –shadow-color: rgba(0, 0, 0, 0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; color: var(–text-color); background-color: var(–light-color); margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; min-height: 100vh; } .container { width: 100%; max-width: 1000px; margin: 20px auto; padding: 20px; background-color: #fff; border-radius: 8px; box-shadow: 0 4px 15px var(–shadow-color); display: flex; flex-direction: column; align-items: center; } h1, h2, h3 { color: var(–primary-color); text-align: center; } h1 { font-size: 2.5em; margin-bottom: 15px; } h2 { font-size: 2em; margin-top: 30px; margin-bottom: 20px; } h3 { font-size: 1.5em; margin-top: 25px; 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AWS EC2 Instance Cost Calculator

Estimate your monthly AWS Elastic Compute Cloud (EC2) costs. Input your instance details and usage to get a clear breakdown of potential expenses.

t2.micro (General purpose, Burst) m5.large (General purpose, Compute Optimized) c5.xlarge (Compute Optimized) r5.xlarge (Memory Optimized) g4dn.xlarge (GPU Accelerated) Select the instance type that best fits your workload. Prices are illustrative and may vary by region.
General purpose Compute Optimized Memory Optimized GPU accelerated Storage Optimized Categorization of the instance type (e.g., General purpose, Compute optimized).
US East (N. Virginia) US West (Oregon) Europe (Frankfurt) Asia Pacific (Singapore) Choose the AWS region where your instance will be deployed. Pricing varies by region.
Linux/UNIX Windows SUSE Linux Enterprise Server Red Hat Enterprise Linux Select the operating system. Some OS options incur additional licensing costs.
On-Demand Reserved Instance (1-year) Reserved Instance (3-year) Spot Instance Choose your preferred pricing model for cost optimization.
Hours per month (max 730 for full month). Defaults to 24/7 usage.
Basic (Free) Developer Business Enterprise Your chosen AWS Support Plan level. Costs are per instance hour.

Estimated Monthly Cost Breakdown

$0.00

Instance Cost

$0.00

Support Cost

$0.00

Effective Hourly Rate

$0.00
Formula: (Base Hourly Price * Region Multiplier * OS Multiplier * Pricing Model Discount) * Usage Hours + (Support Plan Cost * Usage Hours)

Monthly Cost vs. Usage Hours

Estimated monthly cost at different usage levels for the selected instance configuration.

Instance Details & Pricing Assumptions

Metric Value Unit Notes
Selected Instance Type Core compute unit
Instance Family Workload optimization category
AWS Region Geographic deployment location
Operating System Software environment
Pricing Model Billing approach
Base On-Demand Hourly Price $0.00 /hr Standard rate before discounts/multipliers
Region Multiplier x Cost adjustment factor for location
OS Cost Multiplier x Cost adjustment for OS licensing
Support Plan Cost $0.00 /hr Hourly rate for chosen support level
Monthly Usage hours Configured usage duration
Key parameters and their values influencing the calculated EC2 costs.

What is an AWS EC2 Calculator?

An AWS EC2 Calculator is a specialized tool designed to help users estimate the potential costs associated with running virtual servers (instances) on Amazon Web Services' Elastic Compute Cloud (EC2) platform. AWS EC2 provides scalable computing capacity in the cloud, offering a wide array of instance types optimized for different workloads. Due to the vast number of configurations, regions, pricing models, and additional services, predicting costs can be complex. An EC2 calculator simplifies this by allowing users to input their specific requirements and receive a projected cost, typically on a monthly basis.

Who should use it?

  • Startups and Small Businesses: Evaluating cloud migration costs and budgeting for infrastructure.
  • Developers and Engineers: Estimating the cost of development, testing, or staging environments.
  • IT Managers and Decision-Makers: Planning cloud spending, comparing instance types, and optimizing budgets.
  • Anyone migrating to or expanding within AWS: Gaining clarity on the financial implications of their cloud infrastructure.

Common Misconceptions:

  • "EC2 is always cheaper than on-premises": While often true for dynamic workloads, fixed, high-utilization workloads might still be more cost-effective on-premises depending on existing investments.
  • "On-Demand is the only option": AWS offers significant savings through Reserved Instances and Spot Instances, which are often overlooked by beginners.
  • "Ignoring data transfer costs": Data egress (outbound) traffic from AWS regions incurs costs that are not always included in basic EC2 calculators.
  • "All instances of the same size cost the same": Instance families (e.g., compute-optimized, memory-optimized, GPU) have different pricing structures reflecting their specialized hardware.

EC2 Calculator Formula and Mathematical Explanation

The core of an EC2 calculator involves estimating the hourly rate and then multiplying it by the total usage hours, factoring in additional costs like support plans. A comprehensive formula might look like this:

Total Monthly Cost = (Instance Hourly Rate * Monthly Usage Hours) + Support Cost

Where the Instance Hourly Rate itself is a complex calculation:

Instance Hourly Rate = Base On-Demand Price * Region Multiplier * OS Cost Multiplier * Pricing Model Discount Factor

And the Support Cost is:

Support Cost = Support Plan Hourly Rate * Monthly Usage Hours

Let's break down the variables:

Variable Meaning Unit Typical Range / Example
Base On-Demand Price The standard hourly cost for the selected instance type in a reference region (often US East N. Virginia) without any discounts or additional modifiers. USD/hour $0.0116 (e.g., t2.micro) to $5.00+ (e.g., high-end GPU instances)
Region Multiplier A factor applied to the base price to account for regional pricing differences. Some regions are more expensive due to various factors like power costs, local infrastructure, and demand. x (decimal) 1.00 (e.g., us-east-1) to 1.20 (e.g., some European/Asian regions)
OS Cost Multiplier A factor applied if a commercial operating system like Windows or RHEL is chosen, reflecting the cost of licensing embedded in the instance price. Linux/UNIX typically has a multiplier of 1.00. x (decimal) 1.00 (Linux/UNIX) to 1.20 (Windows)
Pricing Model Discount Factor A factor representing the savings achieved through different pricing models.
  • On-Demand: 1.00 (no discount)
  • Reserved Instance (1-year): ~0.70 – 0.75
  • Reserved Instance (3-year): ~0.55 – 0.65
  • Spot Instance: ~0.10 – 0.80 (highly variable)
x (decimal) See above examples
Monthly Usage Hours The total number of hours the EC2 instance is expected to run within a month. A full month has approximately 730 hours (24 hours/day * 30.4 days/month). hours 0 to 730
Support Plan Hourly Rate The cost per hour associated with the selected AWS Support Plan (Basic, Developer, Business, Enterprise). These are often tiered percentages of your total AWS bill but can be approximated as per-hour costs for simpler calculators. USD/hour $0.00 (Basic) to $0.15+ (Enterprise)
Total Monthly Cost The final estimated expenditure for running the EC2 instance for the specified duration and configuration. USD Calculated value
Instance Cost The cost derived solely from the instance type, region, OS, pricing model, and usage hours. USD Calculated value
Support Cost The total cost of the chosen AWS Support Plan for the specified monthly usage hours. USD Calculated value
Effective Hourly Rate The total cost (instance + support) divided by the usage hours, giving a blended hourly rate. USD/hour Calculated value

Practical Examples (Real-World Use Cases)

Let's explore a couple of scenarios to illustrate how the EC2 calculator can be used:

Example 1: Hosting a Small Business Website

Scenario: A small e-commerce business needs to host its website on AWS. They anticipate moderate traffic and will run the instance 24/7. They choose a general-purpose instance type and opt for the cost-effective On-Demand pricing model. They are located in the US East (N. Virginia) region and use a standard Linux OS. They only require Basic support.

  • Inputs:
    • Instance Type: m5.large
    • Instance Family: General purpose
    • Region: us-east-1 (Multiplier: 1.00)
    • Operating System: Linux/UNIX (Multiplier: 1.00)
    • Pricing Model: On-Demand (Discount Factor: 1.00)
    • Monthly Usage Hours: 730 (24/7)
    • Support Plan: Basic (Cost: $0.00/hr)
  • Calculation:
    • Base On-Demand Price (m5.large): ~$0.096/hr
    • Instance Hourly Rate = $0.096 * 1.00 * 1.00 * 1.00 = $0.096/hr
    • Instance Cost = $0.096/hr * 730 hours = $70.08
    • Support Cost = $0.00/hr * 730 hours = $0.00
    • Total Monthly Cost: $70.08 + $0.00 = $70.08
    • Effective Hourly Rate: $70.08 / 730 hours = ~$0.096/hr
  • Interpretation: This calculation shows a predictable monthly cost of approximately $70 for running an m5.large instance 24/7 under these conditions. This helps the business budget accurately for its core infrastructure.

Example 2: Running a GPU-Intensive Data Science Workload

Scenario: A data science team needs a powerful GPU instance for model training. They only need the instance for specific training runs, totaling about 100 hours per month. They choose a region in Europe (Frankfurt) and use Windows. To save costs, they opt for a 1-year Reserved Instance plan and require Business support.

  • Inputs:
    • Instance Type: g4dn.xlarge
    • Instance Family: GPU accelerated
    • Region: eu-central-1 (Multiplier: 1.10)
    • Operating System: Windows (Multiplier: 1.20)
    • Pricing Model: Reserved Instance (1-year) (Discount Factor: ~0.70)
    • Monthly Usage Hours: 100
    • Support Plan: Business (Cost: ~$0.10/hr)
  • Calculation:
    • Base On-Demand Price (g4dn.xlarge): ~$0.526/hr
    • Instance Hourly Rate = $0.526 * 1.10 * 1.20 * 0.70 = ~$0.483/hr
    • Instance Cost = $0.483/hr * 100 hours = $48.30
    • Support Cost = $0.10/hr * 100 hours = $10.00
    • Total Monthly Cost: $48.30 + $10.00 = $58.30
    • Effective Hourly Rate: $58.30 / 100 hours = $0.583/hr
  • Interpretation: The calculator estimates a monthly cost of roughly $58.30. Even though the base on-demand price is higher, the Reserved Instance discount and the specific usage pattern (100 hours instead of 730) make the effective hourly rate lower than the on-demand equivalent. This highlights the importance of choosing the right pricing model and accurately estimating usage.

How to Use This EC2 Calculator

Our AWS EC2 calculator is designed for simplicity and accuracy. Follow these steps to get your cost estimates:

  1. Select Instance Type: Choose the EC2 instance type that best matches your computational needs from the dropdown menu. The calculator will pre-fill some related details.
  2. Choose Region and OS: Select the AWS Region where you plan to deploy your instance and the desired Operating System. These choices impact pricing.
  3. Pick Pricing Model: Select your preferred pricing model: On-Demand for flexibility, Reserved Instances for commitment-based savings, or Spot Instances for significant savings on fault-tolerant workloads.
  4. Adjust Usage Hours: Input the number of hours you expect the instance to run per month. For 24/7 operation, use 730 hours. For batch jobs or development, use a lower number.
  5. Select Support Plan: Choose your required AWS Support level. Basic support is free, while Developer, Business, and Enterprise plans have associated hourly costs.
  6. Calculate Costs: Click the "Calculate Costs" button. The calculator will instantly display the estimated total monthly cost, broken down into instance costs and support costs. It also shows the effective hourly rate.
  7. Review Details: Examine the table below the results for a detailed breakdown of your input parameters and their associated pricing assumptions.
  8. Visualize: Check the chart to see how your monthly cost scales with different usage hours.
  9. Copy Results: Use the "Copy Results" button to save or share your calculated cost breakdown and key assumptions.
  10. Reset: Click "Reset" to clear all fields and return to default settings.

How to Read Results:

  • Total Monthly Cost: This is your primary estimate for the overall expense.
  • Instance Cost: The cost attributed to the EC2 instance itself (compute, memory, etc.).
  • Support Cost: The cost for your selected AWS Support plan based on usage.
  • Effective Hourly Rate: The blended cost per hour, useful for comparing against other services or instances.

Decision-Making Guidance: Use the results to compare different instance types, regions, and pricing models. If the cost is too high, consider if you can reduce usage hours, switch to a cheaper instance type, leverage Reserved or Spot Instances, or explore alternative AWS services.

Key Factors That Affect EC2 Results

Several crucial factors influence the final cost of your AWS EC2 instances. Understanding these can help you optimize your spending:

  1. Instance Type and Family: The most significant cost driver. High-performance instances (CPU-intensive, memory-intensive, GPU-accelerated) inherently cost more than general-purpose or burstable instances due to specialized hardware and capabilities.
  2. Pricing Model: This offers substantial savings potential.
    • On-Demand: Most flexible, highest cost per hour. Ideal for unpredictable workloads or short-term needs.
    • Reserved Instances (RIs): Requires a 1- or 3-year commitment in exchange for significant discounts (up to 75% off On-Demand). Best for steady-state workloads.
    • Savings Plans: Similar to RIs but offer more flexibility across instance families and regions for a commitment to a dollar amount per hour.
    • Spot Instances: Utilizes spare EC2 capacity at deeply discounted rates (up to 90% off On-Demand). Suitable for fault-tolerant, stateless, or flexible workloads as AWS can reclaim these instances with short notice.
  3. Region: AWS pricing varies geographically due to differences in infrastructure costs, electricity, and local market conditions. Always check pricing for your target region.
  4. Usage Duration (Hours): Running instances 24/7 (730 hours/month) will naturally incur higher costs than running them only during business hours or for specific tasks. Accurately estimating usage is key to cost control.
  5. Operating System (OS): While Linux/UNIX instances are typically included in the base price, Windows Server and some commercial Linux distributions (like RHEL, SUSE) incur additional licensing costs, reflected as a higher hourly rate or multiplier.
  6. AWS Support Plan: While Basic support is free, Developer, Business, and Enterprise support plans add a cost, usually calculated as a percentage of your total AWS bill or a fixed hourly rate per instance. Higher support tiers provide faster response times and more comprehensive technical guidance.
  7. Additional AWS Services: This calculator focuses on EC2 instance costs. However, remember that other services like Elastic Block Store (EBS) for storage, Elastic IP addresses, data transfer (especially egress), load balancers, and monitoring services (like CloudWatch) all contribute to your total AWS bill.
  8. Instance Size within Family: Even within the same family (e.g., m5), larger sizes (.xlarge, .2xlarge, etc.) have proportionally higher costs.

Frequently Asked Questions (FAQ)

Q1: Are the prices shown by the calculator exact?
A1: The prices are estimates based on publicly available data and common multipliers. Actual costs can vary slightly due to specific regional pricing nuances, subtle variations in instance configurations, and potential fluctuations in Spot Instance markets. Always refer to the official AWS Pricing Page for the most accurate, up-to-date information.
Q2: Does this calculator include EBS storage costs?
A2: This calculator primarily focuses on the EC2 instance compute costs and support fees. It does not include the costs for associated storage like Amazon Elastic Block Store (EBS) volumes or instance store volumes. You would need to calculate those separately based on the type and amount of storage provisioned.
Q3: How much can I save with Reserved Instances (RIs) or Savings Plans?
A3: Savings can be substantial, typically ranging from 40% to 75% compared to On-Demand prices, depending on the commitment term (1 or 3 years) and the specific instance attributes. Savings Plans offer similar discounts with greater flexibility. Spot Instances can offer savings of up to 90%.
Q4: What is the difference between Reserved Instances and Savings Plans?
A4: Reserved Instances provide a discount on specific instance types in a chosen region. Savings Plans offer a discount based on a commitment to a consistent amount of usage ($/hour) and provide more flexibility across instance families, regions, and compute services (EC2, Fargate, Lambda).
Q5: When should I use Spot Instances?
A5: Spot Instances are ideal for fault-tolerant workloads that can withstand interruptions, such as big data analysis, batch processing, rendering, CI/CD testing, and stateless web applications. They are not suitable for critical databases or applications requiring constant uptime without specific fault-tolerance architecture.
Q6: Does data transfer cost apply?
A6: This calculator does not explicitly include data transfer costs. Data transferred *out* of AWS to the internet or between different AWS regions incurs charges. Data transfer *within* the same Availability Zone (AZ) between EC2 instances is generally free. Moving data between AZs within the same region usually has a small cost.
Q7: How do I handle Windows licensing costs?
A7: The calculator includes an OS Cost Multiplier for Windows. This multiplier reflects the embedded licensing cost. If you bring your own license (BYOL) for Windows Server under specific conditions (e.g., using Dedicated Hosts), you might incur different costs.
Q8: Can I use this calculator for AWS Lightsail or other compute services?
A8: This calculator is specifically designed for AWS EC2 instances. Other AWS compute services like Lightsail, Lambda, or Fargate have different pricing models and would require separate calculators or direct checks on the AWS pricing page.

Explore these related tools and resources to further optimize your AWS usage and understand cloud costs:

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This calculator provides estimates for educational and planning purposes. Actual AWS costs may vary.

var instanceTypeSelect = document.getElementById('instanceType'); var instanceFamilySelect = document.getElementById('instanceFamily'); var regionSelect = document.getElementById('region'); var osSelect = document.getElementById('os'); var pricingModelSelect = document.getElementById('pricingModel'); var usageHoursInput = document.getElementById('usageHours'); var supportPlanSelect = document.getElementById('supportPlan'); var basePrice = 0; var regionMultiplier = 1; var osMultiplier = 1; var pricingModelDiscountFactor = 1; var supportCostPerHr = 0; var monthlyUsageHours = 0; var chart; var chartCtx = document.getElementById('costChart').getContext('2d'); function updateInstanceDetails() { var selectedOption = instanceTypeSelect.options[instanceTypeSelect.selectedIndex]; basePrice = parseFloat(selectedOption.getAttribute('data-price-on-demand') || 0); // Use on-demand as base for calculations regionMultiplier = parseFloat(regionSelect.options[regionSelect.selectedIndex].getAttribute('data-region-multiplier') || 1); osMultiplier = parseFloat(osSelect.options[osSelect.selectedIndex].getAttribute('data-os-multiplier') || 1); var selectedPricingModel = pricingModelSelect.value; switch (selectedPricingModel) { case 'On-Demand': pricingModelDiscountFactor = 1.00; break; case 'Reserved Instance (1-year)': pricingModelDiscountFactor = 0.70; // Approximate discount break; case 'Reserved Instance (3-year)': pricingModelDiscountFactor = 0.60; // Approximate discount break; case 'Spot Instance': pricingModelDiscountFactor = 0.30; // Approximate average discount, can be much lower break; default: pricingModelDiscountFactor = 1.00; } supportCostPerHr = parseFloat(supportPlanSelect.options[supportPlanSelect.selectedIndex].getAttribute('data-support-cost') || 0); instanceFamilySelect.value = selectedOption.value.split('.')[0]; // Infer family, might need better mapping updatePricingTable(); calculateCosts(); // Recalculate after details change updateChart(); } function validateInput(input) { var errorElement = document.getElementById(input.id + 'Error'); var value = parseFloat(input.value); errorElement.textContent = "; input.style.borderColor = 'var(–border-color)'; if (isNaN(value)) { errorElement.textContent = 'Please enter a valid number.'; input.style.borderColor = 'var(–danger-color)'; return false; } if (value parseFloat(input.max)) { errorElement.textContent = 'Value exceeds maximum.'; input.style.borderColor = 'var(–danger-color)'; return false; } return true; } function calculateCosts() { if (!validateInput(usageHoursInput)) { return; } monthlyUsageHours = parseFloat(usageHoursInput.value); var resultsSection = document.getElementById('resultsSection'); var selectedInstanceOption = instanceTypeSelect.options[instanceTypeSelect.selectedIndex]; var basePriceForModel = basePrice; // Start with on-demand base // Adjust base price if specific pricing model has different base data if (pricingModelSelect.value === 'On-Demand') { basePriceForModel = parseFloat(selectedInstanceOption.getAttribute('data-price-on-demand') || basePrice); } else if (pricingModelSelect.value === 'Reserved Instance (1-year)') { basePriceForModel = parseFloat(selectedInstanceOption.getAttribute('data-price-reserved') || basePrice); } else if (pricingModelSelect.value === 'Spot Instance') { basePriceForModel = parseFloat(selectedInstanceOption.getAttribute('data-price-spot') || basePrice); } // Note: Reserved Instance (3-year) is not explicitly provided in data attributes, using RI (1-year) approximation for discount factor. var effectiveInstanceHourlyRate = basePriceForModel * regionMultiplier * osMultiplier * pricingModelDiscountFactor; var instanceCost = effectiveInstanceHourlyRate * monthlyUsageHours; var supportCost = supportCostPerHr * monthlyUsageHours; var totalMonthlyCost = instanceCost + supportCost; var effectiveOverallHourlyRate = (totalMonthlyCost) / (monthlyUsageHours || 1); // Avoid division by zero document.getElementById('totalMonthlyCost').textContent = '$' + totalMonthlyCost.toFixed(2); document.getElementById('instanceCost').textContent = '$' + instanceCost.toFixed(2); document.getElementById('supportCost').textContent = '$' + supportCost.toFixed(2); document.getElementById('effectiveHourlyRate').textContent = '$' + effectiveOverallHourlyRate.toFixed(3); // More precision for hourly rate resultsSection.style.display = 'block'; updatePricingTable(); } function updatePricingTable() { var selectedInstanceOption = instanceTypeSelect.options[instanceTypeSelect.selectedIndex]; var selectedRegionOption = regionSelect.options[regionSelect.selectedIndex]; var selectedOSOption = osSelect.options[osSelect.selectedIndex]; var selectedPricingOption = pricingModelSelect.options[pricingModelSelect.selectedIndex]; var selectedSupportOption = supportPlanSelect.options[supportPlanSelect.selectedIndex]; // Determine the base price relevant to the selected pricing model for display var displayBasePrice = basePrice; // Default to on-demand if (pricingModelSelect.value === 'On-Demand') { displayBasePrice = parseFloat(selectedInstanceOption.getAttribute('data-price-on-demand') || basePrice); } else if (pricingModelSelect.value === 'Reserved Instance (1-year)') { displayBasePrice = parseFloat(selectedInstanceOption.getAttribute('data-price-reserved') || basePrice); } else if (pricingModelSelect.value === 'Spot Instance') { displayBasePrice = parseFloat(selectedInstanceOption.getAttribute('data-price-spot') || basePrice); } document.getElementById('detailInstanceType').textContent = instanceTypeSelect.value; document.getElementById('detailInstanceFamily').textContent = instanceFamilySelect.value; document.getElementById('detailRegion').textContent = selectedRegionOption.text; document.getElementById('detailOS').textContent = selectedOSOption.text; document.getElementById('detailPricingModel').textContent = selectedPricingOption.text; document.getElementById('detailBasePrice').textContent = '$' + displayBasePrice.toFixed(3); document.getElementById('detailRegionMultiplier').textContent = regionMultiplier.toFixed(2); document.getElementById('detailOSMultiplier').textContent = osMultiplier.toFixed(2); document.getElementById('detailSupportCostPerHr').textContent = '$' + supportCostPerHr.toFixed(2); document.getElementById('detailUsageHours').textContent = monthlyUsageHours || usageHoursInput.value; } function resetForm() { document.getElementById('ec2Form').reset(); document.getElementById('usageHours').value = 730; // Reset to default document.getElementById('resultsSection').style.display = 'none'; updateInstanceDetails(); // Re-apply defaults and recalculate calculateCosts(); updateChart(); } function copyResults() { var totalCost = document.getElementById('totalMonthlyCost').textContent; var instanceCost = document.getElementById('instanceCost').textContent; var supportCost = document.getElementById('supportCost').textContent; var effectiveHourlyRate = document.getElementById('effectiveHourlyRate').textContent; var instanceType = document.getElementById('detailInstanceType').textContent; var instanceFamily = document.getElementById('detailInstanceFamily').textContent; var region = document.getElementById('detailRegion').textContent; var os = document.getElementById('detailOS').textContent; var pricingModel = document.getElementById('detailPricingModel').textContent; var basePrice = document.getElementById('detailBasePrice').textContent; var regionMultiplier = document.getElementById('detailRegionMultiplier').textContent; var osMultiplier = document.getElementById('detailOSMultiplier').textContent; var supportCostPerHr = document.getElementById('detailSupportCostPerHr').textContent; var usageHours = document.getElementById('detailUsageHours').textContent; var copyText = "— EC2 Cost Estimate —" + "\n\n" + "Total Monthly Cost: " + totalCost + "\n" + "Instance Cost: " + instanceCost + "\n" + "Support Cost: " + supportCost + "\n" + "Effective Hourly Rate: " + effectiveHourlyRate + "\n\n" + "— Key Assumptions —" + "\n" + "Instance Type: " + instanceType + "\n" + "Instance Family: " + instanceFamily + "\n" + "Region: " + region + "\n" + "Operating System: " + os + "\n" + "Pricing Model: " + pricingModel + "\n" + "Base On-Demand Price: " + basePrice + "/hr\n" + "Region Multiplier: " + regionMultiplier + "x\n" + "OS Cost Multiplier: " + osMultiplier + "x\n" + "Support Plan Cost: " + supportCostPerHr + "/hr\n" + "Monthly Usage: " + usageHours + " hours"; navigator.clipboard.writeText(copyText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy results: ', err); alert('Failed to copy results. Please copy manually.'); }); } function updateChart() { if (chart) { chart.destroy(); } var maxHours = 730; var hoursStep = Math.ceil(maxHours / 10); // Calculate step for 10 data points var dataPoints = []; var costData = []; var selectedInstanceOption = instanceTypeSelect.options[instanceTypeSelect.selectedIndex]; var basePriceForModel = basePrice; // Default to on-demand base if (pricingModelSelect.value === 'On-Demand') { basePriceForModel = parseFloat(selectedInstanceOption.getAttribute('data-price-on-demand') || basePrice); } else if (pricingModelSelect.value === 'Reserved Instance (1-year)') { basePriceForModel = parseFloat(selectedInstanceOption.getAttribute('data-price-reserved') || basePrice); } else if (pricingModelSelect.value === 'Spot Instance') { basePriceForModel = parseFloat(selectedInstanceOption.getAttribute('data-price-spot') || basePrice); } for (var i = 0; i <= 10; i++) { var hours = Math.min(i * hoursStep, maxHours); dataPoints.push(hours); var effectiveInstanceHourlyRate = basePriceForModel * regionMultiplier * osMultiplier * pricingModelDiscountFactor; var currentInstanceCost = effectiveInstanceHourlyRate * hours; var currentSupportCost = supportCostPerHr * hours; costData.push(currentInstanceCost + currentSupportCost); } chart = new Chart(chartCtx, { type: 'line', data: { labels: dataPoints.map(function(h) { return h + ' hrs'; }), datasets: [{ label: 'Estimated Monthly Cost ($)', data: costData, borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: true, tension: 0.1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Monthly Usage Hours' } }, y: { title: { display: true, text: 'Estimated Cost ($)' }, beginAtZero: true } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += '$' + context.parsed.y.toFixed(2); } return label; } } } } } }); } // Initial setup and calculations on page load document.addEventListener('DOMContentLoaded', function() { updateInstanceDetails(); calculateCosts(); updateChart(); });

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