AWS Fargate Pricing Calculator
Estimate the monthly cost of running your containerized applications on AWS Fargate serverless compute.
The number of concurrent tasks (ECS) or pods (EKS) you will be running.
The amount of virtual CPU allocated to each task.
The amount of memory (in Gigabytes) allocated to each task.
Total storage per task. The first 20GB are included. You pay for storage above 20GB.
How many hours each day your tasks will be running.
How many days per month your tasks will be running.
ARM-based Graviton processors typically offer better price-performance.
Estimated Monthly Cost
Total Estimated Monthly Cost
vCPU Cost
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Memory Cost
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Storage Cost
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What is a Fargate Pricing Calculator?
A fargate pricing calculator is a specialized tool designed to estimate the costs associated with running containerized applications on AWS Fargate. AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). It allows you to run containers without having to manage the underlying servers or clusters, shifting the focus from infrastructure management to application development. This calculator simplifies the complex pricing model by taking key inputs—such as vCPU, memory, storage, and duration—to provide a clear monthly cost estimate.
This tool is invaluable for DevOps engineers, cloud architects, and financial planners who need to budget for new projects or optimize existing workloads. By using a fargate pricing calculator, you can avoid unexpected bills and make informed decisions about resource allocation. Common misconceptions include thinking Fargate is always more expensive than EC2; while it carries a premium for convenience, for spiky or intermittent workloads, it can be more cost-effective.
Fargate Pricing Calculator Formula and Mathematical Explanation
The core of the fargate pricing calculator is based on a pay-as-you-go model for the resources you consume. The total cost is primarily a sum of three components: compute (vCPU), memory, and additional storage. The calculation is performed on a per-second basis with a one-minute minimum charge. The formula is as follows:
Total Monthly Cost = Number of Tasks × ( (vCPU Price/hr × vCPUs) + (Memory Price/hr × Memory GB) + (Storage Price/hr × Extra Storage GB) ) × Hours/Day × Days/Month
Each variable is critical for an accurate cost projection. The pricing rates for vCPU and memory depend on the chosen CPU architecture (x86 vs. ARM) and the AWS region. Our fargate pricing calculator automates this complex calculation for you. For more detailed analysis, consider our guide on AWS cost optimization.
| Variable | Meaning | Unit | Typical Range |
|---|---|---|---|
| vCPU Price/hr | Cost per virtual CPU per hour. | USD ($) | $0.03 – $0.05 (varies by architecture) |
| Memory Price/hr | Cost per Gigabyte of memory per hour. | USD ($) | $0.003 – $0.005 |
| Storage Price/hr | Cost for ephemeral storage beyond the 20GB free tier. | USD ($) | ~$0.000111 per GB-hour |
| Number of Tasks | Concurrent instances of your container. | Integer | 1 – 1000+ |
| vCPUs | Virtual CPU cores allocated per task. | Count | 0.25 – 16 |
| Memory GB | Gigabytes of RAM allocated per task. | GB | 0.5 – 120 |
Practical Examples (Real-World Use Cases)
Example 1: Small Web Application
Imagine a small, containerized web application that serves a moderate amount of traffic. It runs continuously.
- Inputs: 2 Tasks, 1 vCPU, 2 GB Memory, 20 GB Storage, 24 Hours/Day, 30 Days/Month, Linux/x86 Architecture.
- Calculation: Using the fargate pricing calculator, the tool computes the combined vCPU and memory costs for two tasks running 720 hours a month. Since storage is at the 20GB free-tier limit, storage cost is zero.
- Output: The calculator would project a monthly cost of approximately $72.67. This shows the predictable cost of a constantly running small-scale service.
Example 2: Daily Data Processing Job
Consider a batch processing job that runs for a short period each day to analyze data. This is an ideal use case for a serverless solution like Fargate.
- Inputs: 5 Tasks, 4 vCPU, 16 GB Memory, 30 GB Storage, 2 Hours/Day, 22 Days/Month (weekdays), Linux/ARM Architecture.
- Calculation: The fargate pricing calculator accounts for the higher resource allocation but shorter duration. The ARM architecture provides a cost saving of about 20% on compute resources. It also calculates the cost for the 10GB of extra storage per task.
- Output: The estimated monthly cost would be around $115. This demonstrates how the fargate pricing calculator helps model costs for intermittent, high-compute workloads, which can be managed via our container management services.
How to Use This Fargate Pricing Calculator
Our fargate pricing calculator is designed for simplicity and accuracy. Follow these steps to get your cost estimate:
- Enter Task Configuration: Start by inputting the number of tasks, and the vCPU and Memory you plan to allocate for each.
- Define Storage: Specify the ephemeral storage per task in GB. Remember, the first 20GB is free, and the fargate pricing calculator will only charge for the amount exceeding that.
- Set the Schedule: Input how many hours per day and days per month your tasks will run. This is crucial for accurately forecasting costs for non-continuous workloads.
- Choose Architecture: Select between x86 and ARM (Graviton). If your application is compatible, ARM often provides significant savings.
- Review Results: The calculator instantly updates the total monthly cost, along with a breakdown of vCPU, memory, and storage expenses. The dynamic chart also visualizes this breakdown, making it easy to see where your money is going. Explore our EC2 pricing calculator to compare costs.
Use these results to adjust your configurations for better cost-performance, a core principle of effective cloud financial management.
Key Factors That Affect Fargate Pricing Calculator Results
Several factors can influence the final output of the fargate pricing calculator. Understanding them is key to managing your AWS bill.
- vCPU and Memory Allocation: This is the biggest cost driver. Over-provisioning resources is a common source of wasted spend. Right-sizing your tasks to match their actual needs is the most effective optimization strategy.
- CPU Architecture (x86 vs. ARM): Migrating compatible workloads to AWS Graviton (ARM) processors can reduce your compute costs by up to 20-40%. Our fargate pricing calculator lets you model this saving easily.
- Task Duration and Scaling: You pay for the entire duration a task runs, from image pull to termination. For applications with spiky traffic, using autoscaling to run tasks only when needed can drastically reduce costs compared to keeping them idle 24/7.
- Choice of AWS Region: Pricing for vCPU, memory, and storage varies between different AWS regions. Running workloads in a cheaper region can lead to savings, but be mindful of latency impacts.
- Fargate Spot Instances: For interrupt-tolerant workloads, you can use Fargate Spot to get discounts of up to 70%. This is not included in this calculator but is a powerful cost-saving feature for stateless or batch jobs.
- Ephemeral Storage: While each task gets 20 GB of free ephemeral storage, requesting more will incur costs. Always check if your application’s storage needs can fit within the free tier.
Frequently Asked Questions (FAQ)
Not always. Fargate has a price premium for the convenience of not managing servers. However, for intermittent, short-lived, or highly variable workloads, Fargate can be cheaper than paying for an idle EC2 instance 24/7. This fargate pricing calculator helps you compare scenarios.
This calculator focuses on the core compute and storage costs. It does not include costs for other AWS services like Data Transfer, CloudWatch Logs, NAT Gateways, or Elastic Load Balancers, which can add to your total bill.
It is very accurate for estimating the direct costs based on the pricing for US East (N. Virginia). Pricing varies slightly by region. The tool uses the official pay-as-you-go pricing model for its calculations.
Yes. The core pricing model for vCPU, memory, and storage is the same whether you are running your containers with Amazon ECS or Amazon EKS on Fargate.
No, this tool calculates On-Demand pricing only. Fargate Spot can offer up to a 70% discount but is designed for workloads that can be interrupted. You can manually apply an estimated discount to the result from our fargate pricing calculator.
x86 (Intel/AMD) is the traditional architecture. ARM (AWS Graviton) is a newer, more energy-efficient architecture that AWS offers at a lower price point, often with better performance for cloud-native workloads. A key part of serverless optimization is choosing the right architecture.
Each Fargate task gets a 20 GB ephemeral storage volume included. If you configure a larger volume (up to 200 GB), you pay an hourly rate for the storage provisioned *above* 20 GB. This fargate pricing calculator automatically factors this in.
Billing starts the moment Fargate begins pulling your container image and stops when the task or pod has terminated, rounded up to the nearest second. There is a one-minute minimum charge per task.