Deployment of profile test-network.
This deployment profile comes with default pre-generated keys and default passwords. It is not meant to contain any real data nor be used in production. If you wish to do so, use instead the Network Production Deployment (prod-network) deployment profile.
This test profile deploys an arbitrary set of MedCo nodes independently in different machines that together form a MedCo network. This deployment assumes each node is deployed in a single dedicated machine. All the machines have to be reachable between each other. Nodes should agree on a network name and individual indexes beforehand (to be assigned a unique ID).
The next set of steps must be fully executed individually by each node of the network.
First step is to get the MedCo Deployment latest release at each node. Adapt ${MEDCO_SETUP_DIR} to where you wish to install MedCo.
Next the compose and configuration profiles must be generated using a script, executed in two steps.
Step 1: each node generates its keys and certificates, and shares its public information with the other nodes
Step 2: each node collects the public keys and certificates of the all the other nodes
For step 1, the network name ${MEDCO_SETUP_NETWORK_NAME} should be common to all the nodes. ${MEDCO_SETUP_NODE_DNS_NAME} corresponds to the machine domain name where the node is being deployed. As mentioned before the different parties should have agreed beforehand on the members of the network, and assigned an index ${MEDCO_SETUP_NODE_IDX} to each different node to construct its UID (starting from 0, to n-1, n being the total number of nodes).
This script will generate the compose profile and part of the configuration profile, including a file srv${MEDCO_SETUP_NODE_IDX}-public.tar.gz. This file should be shared with the other nodes, and all of them need to place it in their configuration profile folder (${MEDCO_SETUP_DIR}/configuration-profiles/test-network-${MEDCO_SETUP_NETWORK_NAME}-node${MEDCO_SETUP_NODE_IDX}).
Before proceeding to this step, you need to have gathered all the files srv${MEDCO_SETUP_NODE_IDX}-public.tar.gz from the persons deploying MedCo on the other nodes.
Once all nodes have shared their srv${MEDCO_SETUP_NODE_IDX}-public.tar.gz file with all other nodes, step 2 can be executed:
At this point, it is possible to edit the default configuration generated in ${MEDCO_SETUP_DIR}/configuration-profiles/test-network-${MEDCO_SETUP_NETWORK_NAME}-node${MEDCO_SETUP_NODE_IDX}/.env This is needed if you want to modify the default passwords. When editing this file, be careful to change only the passwords and not the other values.
The deployment profile is now ready to be used.
Next step is to download the docker images and run the node:
Wait some time for the initialization of the containers to be done, this can take up to 10 minutes. For the subsequent runs, the startup will be faster. You can use docker-compose stop to stop the containers and docker-compose down to delete them.
You will need to follow two sets of instruction to make Keycloak functional and be able to log in. Access the Keycloak administration interface and then:
Note that by default the certificates generated by the script are self-signed and thus, when using Glowing Bear, the browser will issue a security warning. To use your own valid certificates, see HTTPS Configuration.
The database is pre-loaded with some encrypted test data using a key that is pre-generated from the combination of all the participating nodes’ public keys. For the network deployment profile this data will not be correctly encrypted, since the public key of each node is generated independently, and, as such, the data must be re-loaded before being able to test the system successfully.
Run first the MedCo loader (see Loading Data) to load some data and be able to test this deployment. Then access Glowing Bear in your web browser at https://${MEDCO_SETUP_NODE_DNS_NAME} and use the default credentials specified in Keycloak user management. If you are new to Glowing Bear you can watch the Glowing Bear user interface walkthrough video. You can also use the CLI client to perform tests.