---
title: "Linux"
description: "Install Tracer on your Linux cloud instances (AWS EC2, GCP, Azure, etc.) under two minutes"
---
Before you begin: Launch an EC2 instance, connect via SSH, and run all commands directly on the host.
[**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)
**- Cost per hour:** $0.27/hr
**- Operating System:** Ubuntu 22.04+
**- Recommended compute:** 8 vCPUs and 16 GB RAM, minimum 4 vCPUs and 8 GB RAM
## 1. Install Tracer
Run the following command to install Tracer:
```bash
curl -sSL https://install.tracer.cloud | sh
```
## 2. Start Tracer agent
To start tracking a pipeline, run the following command:
```bash
sudo tracer init --token
```
Go to our [onboarding](https://app.tracer.cloud/onboarding/linux-cloud-single) to get your own personal token
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.
**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.
## 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
sudo tracer demo
```
`tracer demo` will run an nf-core fastquorum pipeline. This pipeline requires minimum 2GB RAM, 1 core vCPU, and 30GB storage to run efficiently.
## 4. Monitor and Optimize Your Pipeline
Watch your pipeline run in the Tracer dashboard
View real-time metrics, resource usage, and performance insights for your pipeline runs.