AWS CodePipeline
by Amazon Web Services
AWS continuous delivery service; SigV4-signed APIs return pipelines, executions, action executions and stage states.
- Category
- Developer Tools
- Type
- CI/CD
- Interface
- REST API
- Built with
- Connect Anything
- Credentials
- AWS access keys
02Data
What you can sync.
- Pipelines
- Pipeline executions
- Action executions
- Stage states
Report on AWS CodePipeline pipelines in DataPrism BI and let an AI Mind answer delivery questions in plain words.
Need more? Name any other AWS CodePipeline data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- AWS access keys
AWS CodePipeline 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.
-
Pick AWS CodePipeline.
Open Lake, pick AWS CodePipeline in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the AWS CodePipeline API docs.
-
Answer a few questions.
The AI reads the AWS CodePipeline documentation, then asks which credentials you will use, which data to sync (for example pipelines and pipeline executions), 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 CodePipeline, 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.
05Related
