CloudBank Showcase
Practical tutorials that show how to run real-world scientific applications on cloud resources accessed through CloudBank, covering both AWS and Google Cloud.
Tutorials
| Tutorial | Cloud Provider | Resources | Difficulty | Estimated Time |
|---|---|---|---|---|
| GPU Computing in Oceanography | Google Cloud | GPU instances, JupyterHub, Julia/Reactant.jl | Intermediate | 1-2 hours |
| Knowledge Graphs for Chemistry | AWS | S3, Neptune, EC2, Fargate, SPARQL | Intermediate | 1-2 hours |
| Cloud Seismology Analysis | AWS | EC2, S3, Docker, NoisePy | Intermediate | 2-3 hours |
| Toy Data Portal for Hydrology | Google Cloud | GKE Autopilot, Cloud Storage, JupyterHub | Beginner | 1-2 hours |
Every tutorial includes step-by-step guides, Jupyter notebooks rendered statically in the browser, and cloud provider specifics.
The footer of every page shows exactly when this site was last built, so you can tell how fresh this documentation is.
About this site
This site is built with Docusaurus. It is generated from the tutorial sources in this repository; no duplicate content is maintained. See Documentation for the mapping and build steps.