AWS Compute Optimizer
by Amazon Web Services
AWS rightsizing service that recommends EC2, EBS, Lambda, ECS and RDS configurations with estimated savings.
- Category
- Cloud & Data Platforms
- Type
- FinOps
- Interface
- REST API
- Built with
- Connect Anything
- Credentials
- AWS access keys
02Data
What you can sync.
- Ec2 recommendations
- Ebs recommendations
- Lambda recommendations
- Savings estimates
Load AWS Compute Optimizer ec2 recommendations into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other AWS Compute Optimizer data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- AWS access keys
AWS Compute Optimizer uses AWS access keys. You add the credentials once, when the AI asks for them, and it tells you where to create them in Amazon Web Services if you need help.
04How it works
How it works in DataMind.
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Pick AWS Compute Optimizer.
Open Lake, pick AWS Compute Optimizer in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the AWS Compute Optimizer API docs.
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Answer a few questions.
The AI reads the AWS Compute Optimizer documentation, then asks which credentials you will use, which data to sync (for example ec2 recommendations and ebs recommendations), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
The connector agent writes a Python connector for AWS Compute Optimizer, tests it against the live API and shows you sample rows. Then the data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
