Bailo – Revolutionizing Machine Learning Lifecycle Management

Bailo helps you manage the lifecycle of machine learning to support scalability, impact, collaboration, compliance and sharing.

Built With

• Next.js
• Node.js
• MongoDB
• Seldon

Getting Started

Requirements:

• Node v18
• Docker / Docker Compose

Installation:

To run in standalone mode, not development mode. Not for production use:

docker build -t "bailo:standalone" -f ./Dockerfile.standalone .
docker run --name bailo -p 8080:8080 -d bailo:standalone
```bash

To run in development mode (modified files on your host machine will be reloaded into the running application):

```bash
git clone https://github.com/gchq/Bailo.git && cd Bailo
npm install
npm run certs

# This builds all the Bailo images, rerun it when you update dependencies.
docker compose build --parallel

# Then run the development instance of Bailo.
docker compose up -d

On first run, it may take a while (up to 30 seconds) to start up. It needs to build several hundred TypeScript modules.

These are cached however, so future starts only require a few seconds. You should access the site via localhost:8080.

The registry requires a JWKS file for the token authentication with the backend application.

For development, a JWKS file is generated by running npm run certs.

For production, the script generateJWKS.ts can be used to generate a JWKS file for the public key referenced in the backend application configuration.

Setup:

Some example schemas are installed by default. More schemas can be added by altering and running the addDeploymentSchema.ts and addUploadSchema.ts files.

npm run script -- addDeploymentSchema
npm run script -- addUploadSchema