Google Cloud Recommender
by Google
Google Cloud recommendations for idle resources, rightsizing, commitments and IAM; the API returns recommendations and insights.
- 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
- Insights
- Cost impact
- Recommender configs
Load Google Cloud Recommender recommendations into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Google Cloud Recommender 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
Google Cloud Recommender 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 Google if you need help.
04How it works
How it works in DataMind.
-
Pick Google Cloud Recommender.
Open Lake, pick Google Cloud Recommender in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Google Cloud Recommender API docs.
-
Answer a few questions.
The AI reads the Google Cloud Recommender documentation, then asks which credentials you will use, which data to sync (for example recommendations and insights), 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 Google Cloud Recommender data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
