Kestra
Open-source declarative orchestration platform from France with a REST API for flows, executions, logs and metrics.
- Category
- Cloud & Data Platforms
- Type
- Orchestration
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Username and password, Access token
- Docs
- Kestra API docs
02Data
What you can sync.
- Flows
- Executions
- Logs
- Metrics
- Namespaces
Put Kestra flows next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Kestra data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
- An access token
Kestra uses a username and password or an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in Kestra if you need help.
04How it works
How it works in DataMind.
-
Pick Kestra.
Open Lake, pick Kestra in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Kestra API docs.
-
Answer a few questions.
The AI reads the Kestra documentation, then asks which credentials you will use, which data to sync (for example flows and executions), 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 Kestra data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
