deep-dashboard 0.3.1

This project is the dashboard to interact with the DEEP services.

DEEP dashboard

Welcome to the DEEP Dashboard, a web user interface to interact with the DEEP Platform resources.

This is still work in progress, under very heavy development.

Configuration

Please check the sample configuration file that is distributed with the dashboard. You must pass one to the dashboard, otherwise it will refuse to start.

Minimal configuration

The minimal set of options that you must configure in order to run the dashboard is the following:

[iam]
base_url = <IAM endpoint>
client_id = <OpenID Connect Client ID>
client_secret = <OpenID Connect Client Secret>

[orchestrator]
url = <orchestrator_url>

As you can see, you need to create an OpenID Connect Client in an IAM instance, then add it to the configuration file. Assuming that you are using the DEEP production infrastructure, the endpoints can be configured as follows:

[iam]
base_url = "https://iam.deep-hybrid-datacloud.eu"
client_id = <OpenID Connect Client ID>
client_secret = <OpenID Connect Client Secret>

[orchestrator]
url = "https://deep-paas.cloud.ba.infn.it/orchestrator"

The dashboard assumes that it has read and write permissions to the runtime directory that is configured in the runtime_dir configuration option. By defaul this is set to /var/run/deep-dashboard/.

Running the dashboard

The simplest way is to use the Docker container that is provided. You can build the container with:

make docker-build

Then you can run it with the following command (assuming that you have configured your dashboard in a file named dashboard-config.conf:

CONFIG_FILE=dashboard-config.conf make docker-run

Or, directly with Docker, pulling the Docker image from Docker Hub:

docker run -ti -p 80:80 -v /path/to/dashboard-config.conf:/etc/deep-dashboard/dashboard.conf indigo-dc/deep-dashboard

Acknowledgements

This software has been developed within the DEEP-Hybrid-DataCloud (Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud) project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 777435.