---
title: "Quick Start Guide"
description: "Get started with creating and running TIR Pipelines"
---

# Quick Start Guide

## Prerequisites

- **TIR Account:** Ensure you have access to a TIR project.
- **Pipeline YAML File:** A valid Argo Workflow or Kubeflow Pipelines YAML template.
- **(Optional) Docker Image:** If running custom containers, have your image pushed to the E2E Container Registry.

## Create Your First Pipeline

1. **Navigate to Pipelines:**
   - In your TIR project dashboard, click **Pipelines** > **Pipeline** in the sidebar.
   - You will be directed to the **Manage Pipelines** page.

2. **Start Pipeline Creation:**
   - If this is your first pipeline, click **GET STARTED** to create a default hello-world pipeline.
   - Otherwise, click **CREATE PIPELINE** to create a custom pipeline.

3. **Choose Creation Mode:**
   - **Create a new pipeline** — Upload a `.yaml` file, provide a name and description, then click **UPLOAD**.
   - **Create a new pipeline version under an existing pipeline** — Select the target pipeline, upload a `.yaml` file, and click **UPLOAD**.

   :::warning
   Avoid introducing additional nodes or commands in your YAML that could conflict with existing node definitions.
   :::

4. **Pipeline Created:**
   - After successful creation, you will see the pipeline details page with pipeline versions.
   - From here you can create runs or view existing runs.

## Create a Run

1. **Navigate to Runs:**
   - Go to **Pipelines** > **Run** in the sidebar, or click the **Create Run** icon from a specific pipeline.

2. **Select an Experiment:**
   - Choose an existing experiment or create a new one. An experiment groups related pipelines and their run histories.

3. **Configure Run Parameters:**
   - Select the pipeline version to execute.
   - Configure any run parameters defined in your YAML template.
   - Click **Next**.

4. **Select Resources:**
   - Choose a resource plan (CPU or GPU) for your run execution.
   - Click **FINISH** to create the run.

5. **View Results:**
   - The created run will appear in the **Run** section.
   - Click the run name to view execution details and logs.

## API Reference

For programmatic access to Pipelines, refer to our comprehensive API documentation:

> [Pipeline API Documentation](https://docs.e2enetworks.com/api/tir/#/paths/pipelines/get)
>
> Create, manage, and execute Pipelines, Runs, and Scheduled Runs using the TIR API. Includes endpoints for pipeline upload, version management, experiment tracking, and run scheduling.

## Next Steps

- [Features](./Features.mdx) — Pipeline versioning, scheduling, Docker execution, common templates, and monitoring.
- [Pricing](./Pricing.mdx) — Resource plans and billing details.


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