> For the complete documentation index, see [llms.txt](https://docs.rubicon.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rubicon.io/pipelines.md).

# Pipelines

Pipelines are  transformation jobs that execute a specified transformation (referred as model) continuously and maintains an incremental view of the output in our destination. Rubicon support two kinds of pipelines:

1. **Production pipeline** 

Used for models in the `main` Github branch. Rubicon assumes any pipeline for a model in `main` branch to be in-production and supports 

* Continuous ETL of the transformation.
* Automatic deployment of new versions of pipeline when a new version of the transformation is checked-in
* Sending metrics to your observability platform

2. **Development pipeline** 

Used for testing your `models` while developing them. Rubicon assumes any pipeline for a model in a non-`main` branch is development and creates a materialized view of the transformation for data but does not continuously update after it has processed all the data up until the time the pipeline was created.  

##  

## Creating a new pipeline

**Step 1:** Go to <https://app.rubicon.io/pipelines>. Select the Github branch for the model&#x20;

**Step 2:**  Pick any of the available **models** in the branch that you want to build a pipeline for.

**Step 3:**  Pick a destination for the output of your transformation.

**Step 4:** Deploy the pipeline.&#x20;