> ## Documentation Index
> Fetch the complete documentation index at: https://opensre.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Linux

> Install Tracer on your Linux cloud instances (AWS EC2, GCP, Azure, etc.) under two minutes

<Info>
  Before you begin:<br />Launch an EC2 instance, connect via SSH, and run all commands directly on the host.
</Info>

<Accordion title="Recommended Instance Type">
  [**c6a.2xlarge – Ubuntu 22.04+**](https://us-east-1.console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-0e001c9271cf7f3b9;instanceType=c6a.2xlarge)

  **- Recommended AWS Instance:** c6a.2xlarge (8 vCPUs, 16 GB RAM)<br />
  **- Cost per hour:** \$0.27/hr<br />
  **- Operating System:** Ubuntu 22.04+<br />
  **- Recommended compute:** 8 vCPUs and 16 GB RAM, minimum 4 vCPUs and 8 GB RAM
</Accordion>

## 1. Install Tracer

Run the following command to install Tracer:

```bash theme={null}
curl -sSL https://install.tracer.cloud | sh
```

## 2. Start Tracer agent

To start tracking a pipeline, run the following command:

```bash theme={null}
sudo tracer init --token <your-token>
```

<Info> Go to our [onboarding](https://app.tracer.cloud/onboarding/linux-cloud-single) to get your own personal token</Info>

You will be prompted to configure the pipeline name. Filling this out ensures that each pipeline is uniquely identifiable, customizable, and easy to search later on.

<Tip>
  **Tracer is now tracking your pipeline.**

  Every run you launch for this pipeline will be automatically monitored.

  **Note:** You will only need to run `tracer init` again for a new pipeline, not per pipeline run.
</Tip>

## 3. Launch pipeline

You can now choose to run any pipeline you want or use `tracer demo` to launch a prepared pipeline.

Run your own pipeline by following your usual workflow or **run this line in your terminal**:

```bash theme={null}
sudo tracer demo
```

<Info>
  `tracer demo` will run an nf-core fastquorum pipeline. This pipeline requires minimum 2GB RAM, 1 core vCPU, and 30GB storage to run efficiently.
</Info>

## 4. Monitor and Optimize Your Pipeline

<Card href="https://app.tracer.cloud/">
  <img className="block dark:hidden" src="https://mintcdn.com/tracer/lwvLzCSZlgrNXB_D/images/logo/tracer/Tracer%20Full%20Body%20-%20Black.png?fit=max&auto=format&n=lwvLzCSZlgrNXB_D&q=85&s=3ba40411baa608f2cf09ea4372ad16b2" alt="Tracer Logo" style={{ width: '10%', height: 'auto', marginBottom: '1rem' }} width="311" height="84" data-path="images/logo/tracer/Tracer Full Body - Black.png" />

  <img className="hidden dark:block" src="https://mintcdn.com/tracer/lwvLzCSZlgrNXB_D/images/logo/tracer/Tracer%20Full%20Body%20-%20Black.png?fit=max&auto=format&n=lwvLzCSZlgrNXB_D&q=85&s=3ba40411baa608f2cf09ea4372ad16b2" alt="Tracer Logo" style={{ width: '10%', height: 'auto', marginBottom: '1rem' }} width="311" height="84" data-path="images/logo/tracer/Tracer Full Body - Black.png" />

  <div style={{ fontSize: '1.3rem', fontWeight: '700', marginBottom: '1 rem', color: 'inherit' }}>
    Watch your pipeline run in the Tracer dashboard
  </div>

  <div style={{ color: 'inherit' }}>
    View real-time metrics, resource usage, and performance insights for your pipeline runs.
  </div>
</Card>