AWS Trusted Advisor
by Amazon Web Services
AWS best-practice checks for cost optimization, security, fault tolerance and service limits; the API returns checks and recommendations.
- Category
- Cloud & Data Platforms
- Type
- FinOps
- Interface
- REST API
- Built with
- Connect Anything
- Credentials
- AWS access keys
02Data
What you can sync.
- Checks
- Recommendations
- Affected resources
- Organization recommendations
Put AWS Trusted Advisor checks next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other AWS Trusted Advisor data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- AWS access keys
AWS Trusted Advisor 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 Trusted Advisor.
Open Lake, pick AWS Trusted Advisor in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the AWS Trusted Advisor API docs.
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Answer a few questions.
The AI reads the AWS Trusted Advisor documentation, then asks which credentials you will use, which data to sync (for example checks and recommendations), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
The connector agent writes a Python connector for AWS Trusted Advisor, 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.
