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Our demo environment is built on GitHub with no local installation required.

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1. Open GitHub Codespaces

Codespaces will be your coding environment to run any pipeline as an alternative to installing Tracer into your own system.

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Open GitHub Codespaces
Launch your cloud development environment
You can change the machine type options to whichever configuration you prefer for running pipelines. Higher-spec machines will provide better performance for compute-intensive workflows.

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2. Install Tracer

Run the following command to install Tracer: 
curl -sSL https://install.tracer.cloud | sh

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3. Start Tracer agent

To start tracking a pipeline, run the following command: 
tracer init --token <your-token>
Go to our onboarding 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.

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4. 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: 
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.

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5. Monitor and Optimize Your Pipeline

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Watch your pipeline run in the Tracer dashboard
View real-time metrics, resource usage, and performance insights for your pipeline runs.