ecosystemai/ecosystem-server repository overview

The ecosystem.Ai server uses a worker architecture to enable key data engineering, data science, machine learning and related functions. This server can be accessed via the ecosystemai/ecosystem-workbench, Jupyter notebooks (check on github), or the swagger interface at http://localhost:3001/api/swagger-ui.html⁠. Look at this container as a box of containers that allow you to kick-start your prediction projects quickly.

Set the ports, connection source, volumes etc if needed: -v /myData/database:/database/master
--env SPRING_DATASOURCE_URL=jdbc:h2:file:/database/master/theDatabase
--env SPRING_DATASOURCE_USERNAME=ecosystem
--env SPRING_DATASOURCE_PASSWORD=password

MASTER_KEY=key-from-ecosystem

If the data source variables are not set, it will use the local database. This container is valid for 2 days from last pushed version. Obtain a key from ecosystem.Ai if you want to continue using this container.

docker run -it -d -p 80:80 -p 3001:3001 --name ecosystem-server --env MASTER_KEY=key-from-ecosystem --env SPRING_DATASOURCE_URL=jdbc:h2:file:/database/master/theDatabase -v /docker-data:/data -v /docker-data/db:/data/db ecosystemai/ecosystem-server