AWS Cost Estimator

Estimate the monthly cost of running your AWS project including EC2 instances, S3 storage, and Lambda functions.

EC2 Instances

Select the instance type for your workload

How many instances do you need?

hrs

Average hours running per day

S3 Storage

GB

Total storage in S3 Standard

/mo

Write requests per month

/mo

Read requests per month

Lambda Functions

req

Number of function invocations

Memory size affects CPU allocation

ms

Average execution time

How to Use

  1. EC2 Instances: Select your instance type, specify the number of instances, and enter the average hours they run per day.
  2. S3 Storage: Enter your expected storage amount in GB and the number of read/write requests per month.
  3. Lambda Functions: Specify monthly requests, memory allocation, and average execution duration.
  4. Click "Calculate Monthly Cost" to see your estimated expenses.

About This Tool

This AWS Cost Estimator helps data engineers and developers quickly estimate the monthly cost of running their AWS projects. It covers the three most common services used in data engineering workflows:

  • EC2 (Elastic Compute Cloud): Virtual servers for processing data, running applications, and hosting services.
  • S3 (Simple Storage Service): Object storage for data lakes, backups, and file storage.
  • Lambda: Serverless compute for event-driven data processing and ETL tasks.

The pricing is based on the US East (N. Virginia) region, which typically offers the lowest prices. Other regions may have slightly higher costs. This tool provides estimates only; for accurate pricing, use the official AWS Pricing Calculator.

Tips for Reducing AWS Costs

  • Use Reserved Instances: Commit to 1-3 year terms for up to 72% savings on EC2.
  • Right-size instances: Monitor usage and choose appropriate instance sizes.
  • Use S3 storage classes: Move infrequently accessed data to S3 Glacier for lower costs.
  • Optimize Lambda: Reduce memory allocation and optimize code for faster execution.

Privacy: This tool runs entirely in your browser. No data is sent to any server. Your cost estimates are calculated locally and never stored or transmitted.