This tool will help you estimate your Google Cloud Platform costs accurately.
GCP Cost Estimator
Use this calculator to estimate the monthly cost of your Google Cloud Platform usage.
How to Use:
- Enter the number of instances you plan to run.
- Select the instance type from the dropdown menu.
- Specify the number of hours you expect the instances to run per month.
- Choose your preferred region.
- Select the operating system you plan to use.
- Click on “Calculate” to see the estimated cost.
How it Calculates:
The calculator uses predefined pricing for each instance type and region. It also adjusts the cost based on the operating system you select (Linux or Windows). The total cost is calculated using the formula:
Total Cost = Number of Instances * Cost per Hour * Hours per Month
The cost per hour varies by instance type and region, and an additional multiplier is applied if Windows is selected as the operating system.
Limitations:
This estimator provides a rough estimate based on current pricing and does not account for additional factors such as sustained use discounts, committed use contracts, network egress costs, or other potential variables. For a more comprehensive estimate, please refer to the official Google Cloud Pricing Calculator.
Use Cases for This Calculator
Calculate Estimated Costs for Virtual Machines
Input the desired configuration for your virtual machine, including CPU, memory, storage, and region to get an accurate estimate of the costs involved. This will help you plan your budget more effectively when using GCP services.
Estimate Storage Costs for Cloud Storage Buckets
Select the storage type, amount of data stored, and expected data transfer to calculate the costs associated with using GCP Cloud Storage. This will give you a clear breakdown of how much you may need to allocate for storage expenses.
Plan for Network Egress Costs
Enter the estimated amount of outbound data transfer from your GCP services to determine the network egress costs involved. This will help you understand any additional expenses beyond the standard usage charges.
Project Costs for Cloud Functions
Specify the average execution time, memory allocated, and invocation rate to compute the projected costs for running Cloud Functions on GCP. This will assist you in deciding the most cost-effective way to utilize serverless functions.
Estimate Pricing for GCP BigQuery Queries
Input the average query size, frequency, and data processed to get an estimate of the costs for using BigQuery on GCP. This will enable you to optimize your query efficiency based on the associated expenses.
Calculate Cost for Managed Databases
Select the database type, storage size, and expected read/write operations to determine the costs of utilizing managed databases on GCP. This will give you insights into budgeting for your database requirements effectively.
Determine Costs for Load Balancers
Specify the type of load balancer, data processed, and expected traffic to calculate the costs involved in using load balancing services on GCP. This will help you plan for scaling your applications efficiently.
Estimate Expenses for AI Platform Predictions
Enter the model size, prediction frequency, and batch size to estimate the pricing for AI Platform predictions on GCP. This will assist you in budgeting for ML model deployments and inference costs.
Plan Budget for Persistent Disk Storage
Select the disk size, storage type, and expected data transfer to calculate the costs for persistent disk storage on GCP. This will help you understand the pricing structure for maintaining disk storage effectively.
Compute Costs for GCP Kubernetes Engine
Input the number of nodes, machine types, and container runtime to estimate the expenses for running workloads on GCP Kubernetes Engine. This will enable you to plan for containerized applications within your budget constraints.