Forecast is a big data environment for understanding security anomalies as they are presented in a project and is meant to aid in the collection of data for the end-to-end CICD pipeline.
We have many different use cases which require data to be captured at each layer of a stack deployment. These use cases require data to be organized for collection, storage, use, and retention. We'd like to define these elements and determine the best structure and storage method for each:
We have many different use cases which require data to be captured at each layer of a stack deployment. These use cases require data to be organized for collection, storage, use, and retention. We'd like to define these elements and determine the best structure and storage method for each: