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pollfly
2022-09-07 13:18:40 +03:00
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11
docs/getting_started/architecture.md
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@@ -2,11 +2,12 @@
title: ClearML Modules
---
- **ClearML Python Package** (clearml) for integrating ClearML into your existing code-base.
- **ClearML Server** (clearml-server) storing experiment, model, and workflow data, and supporting the Web UI experiment manager. It is also the control plane for the MLOps.
- **ClearML Agent** (clearml-agent) The MLOps orchestration agent. Enabling experiment and workflow reproducibility, and scalability.
- **ClearML Data** (clearml-data) data management and versioning on top of file-systems/object-storage.
- **ClearML Session** (clearml-session) Launch remote instances of Jupyter Notebooks and VSCode.
- [**ClearML Python Package**](../getting_started/ds/ds_first_steps.md#install-clearml) (`clearml`) for integrating ClearML into your existing code-base.
- [**ClearML Server**](../deploying_clearml/clearml_server.md) (`clearml-server`) for storing experiment, 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 experiment 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)

2
docs/getting_started/mlops/mlops_second_steps.md
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@@ -61,7 +61,7 @@ new_dataset.tags = ['latest']
We passed the `parents` argument when we created v2 of the Dataset, which inherits all the parent's version content.
This not only helps trace back dataset changes with full genealogy, but also makes our storage more efficient,
since it only store the changed and / or added files from the parent versions.
since it only stores the changed and / or added files from the parent versions.
When we access the Dataset, it automatically merges the files from all parent versions
in a fully automatic and transparent process, as if the files were always part of the requested Dataset.