> For the complete documentation index, see [llms.txt](https://docs.fractalworks.io/joule/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fractalworks.io/joule/components/analytics/ml-inferencing/key-concepts.md).

# Key concepts

## What we will learn on this article?

## Online stream prediction architecture

The Joule architecture **seamlessly integrates core features** such as feature engineering, prediction, model auditing and model management.

The following example showcases a predictive use case, leveraging the robust features that Joule brings to the forefront.

<figure><img src="https://3062398388-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FUU6FZlV07ZD90OzbzGww%2Fuploads%2Fm2twjTWQbv5QZ7Rgj4vy%2Fprediction-arch.jpg?alt=media&amp;token=0ef9f08c-77ff-4db8-8f19-cfa630e66716" alt=""><figcaption><p>Joule Prediction architecture </p></figcaption></figure>

### Architecture components