clearml-docs/docs/getting_started/architecture.md

---
title: ClearML Modules
---

- [**ClearML Python Package**](../clearml_sdk/clearml_sdk_setup.md) (`clearml`) for integrating ClearML into your existing code-base.
- [**ClearML Server**](../deploying_clearml/clearml_server.md) (`clearml-server`) for storing task, model, and workflow data, and supporting the Web UI experiment manager. It is also the control plane for the MLOps.
- [**ClearML Agent**](../clearml_agent.md) (`clearml-agent`), the MLOps orchestration agent. Enabling task and workflow reproducibility, and scalability.
- [**ClearML Data**](../clearml_data/clearml_data.md) (`clearml-data`) data management and versioning on top of file-systems/object-storage.
- [**ClearML Serving**](../clearml_serving/clearml_serving.md) (`clearml-serving`) for model deployment and orchestration.
- [**ClearML Session**](../apps/clearml_session.md) (`clearml-session`) for launching remote instances of Jupyter Notebooks and VSCode.
Solutions combined with the clearml-server control plane.

![clearml architecture](../img/clearml_architecture.png)

## YouTube Playlist

The first video in the ClearML YouTube **Getting Started** playlist covers these modules in more detail. Feel free to check out the video below.

[![Watch the video](https://img.youtube.com/vi/s3k9ntmQmD4/hqdefault.jpg)](https://www.youtube.com/watch?v=s3k9ntmQmD4&list=PLMdIlCuMqSTnoC45ME5_JnsJX0zWqDdlO&index=1)