DB Cost
dbcost.com the Ultimate AWS RDS and Google Cloud SQL instance pricing comparison sheet.
Background
The market lacks a tool for developers to compare different database products before making a final decision. A site, where all available RDS's performance and cost can be demonstrated, is highly wanted.
Tech Stack (at least this is expected)
Used
- Golang.
- Next.js with React 18.
- Ant Design as component library.
- Nivo for chart visualization.
- Cron task by GitHub Actions.
Requirement
Road Map
- Data collector
- AWS
- GCP
- ALIYUN ( Low priority )
- Cost Table
- Basic Table
- Data Refinement Menu
- Table for checked Instance
- RAM / CPU wise calculator special for GCP
- Cost Charts
- Compare the difference in monthly price between different offers ( Line Chart )
- Compare the difference in total price between different offers ( Stacked Columns Chart )
- Comparison page
- SEO with Next
- Semantic URLs
- Related instances/regions references
- Maintaining Relevant Services
- Incorporate Terraform
- Database Service Life Cycle Management
- Database Benchmark
- Benchmark Test Scheduling / Result Storage
- Benchmark Dashboard
How to start?
This project is under development and is very unstable. The way to start this project may improve as process goes on.
Fetching Data
We maintain our data through a GitHub Actions CronJob. It runs every day to make sure the pricing data is up to date. The data on dbcost.com is provided at here.
Installing Frontend Dependencies
cd ./frontend && pnpm install
Starting the Frontend
pnpm dev
Now dbcost is available at localhost:3000
Seeding data manually
If you would like to fetch the latest data manually, please apply for a GCP API KEY with access to the Cloud Billing API first. For AWS, the API is open to everyone, you do not need a API KEY to access relevant resource.
First set environment variable:
export API_KEY_GCP={YOUR_API_KEY}
Then run the following command:
go run ./seed/main/go