Democratizing and Scaling Bash Analyses in the Cloud

Modernize Bash Analyses with Cloud Scale Simplicity

Most research and data science teams work primarily in Bash. Scaling these scripts across large datasets becomes complicated in the cloud, especially when workflow engines require new languages, containerization knowledge, and DevOps skills.
This whitepaper explains how Lifebit brings the familiar HPC Bash experience directly into the cloud by providing automatic scalability, AWS Batch parallelisation, governance, and collaboration.
Users continue working in plain Bash while the platform handles all the cloud complexity behind the scenes.

Inside

Use HPC simple, cloud ready Bash execution that scales automatically with AWS Batch and requires no workflow engines

Keep scientists focused on research rather than learning Nextflow, Cromwell, WDL, or cloud orchestration tools

Run analyses from either a clean user interface or a command line interface, depending on personal preference

Collaborate securely with workspace level access control where team members can run shared tools without viewing any underlying code or containers

Parallelise high throughput workloads using built in array jobs that process thousands of inputs at once

Monitor progress in real time, including CPU, memory, and cloud cost reporting from a unified dashboard

Move seamlessly from batch execution to interactive tools such as Jupyter, VSCode, or RStudio with a single click