Azure Advisor
by Microsoft
Azure recommendation engine for cost, security, reliability and performance; the REST API returns recommendations and suppressions.
- Category
- Cloud & Data Platforms
- Type
- FinOps
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0, Service account key
02Data
What you can sync.
- Recommendations
- Cost savings
- Suppressions
- Advisor scores
Put Azure Advisor recommendations next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Azure Advisor data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
- A service account key
Azure Advisor uses OAuth 2.0 (client ID, client secret, refresh token) or a service account key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Microsoft if you need help.
04How it works
How it works in DataMind.
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Pick Azure Advisor.
Open Lake, pick Azure Advisor in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Azure Advisor API docs.
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Answer a few questions.
The AI reads the Azure Advisor documentation, then asks which credentials you will use, which data to sync (for example recommendations and cost savings), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Azure Advisor data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
