Run a highly available Postgres cluster using docker containers as nodes for Postgres servers. Additionally continous backups can be set up with Barman running as a separate container(remote node). You can also add visualizations(?) to your cluster with Grafana dashboards.
export ARCHIVE_DIR=/path/for/archiving
sudo chown -R 991:991 $ARCHIVE_DIR
export BACKUP_DIR=/path/to/backup/data # ARCHIVE_DIR and BACKUP_DIR should be separate directories
sudo chown -R 991:991 $BACKUP_DIR
./run_pg.sh <node number> <port> e.g nohup ./run_pg.sh 1 5432 > /tmp/test.1 &, nohup ./run_pg.sh 2 5433 > /tmp/test.2 &, nohup ./run_pg.sh 3 5434 > /tmp/test.3 &
# Create roles to be used by barman and the stats exporter
docker exec testPG.1 bash -c "/usr/local/pgsql/bin/psql -U patroni_super -d postgres -c \"CREATE USER streaming_barman WITH REPLICATION ENCRYPTED PASSWORD 'streaming_barman'; CREATE USER barman WITH SUPERUSER ENCRYPTED PASSWORD 'barman'; CREATE USER prom_pg_exporter WITH SUPERUSER ENCRYPTED PASSWORD 'prom_pg_exporter';\""
./barman.sh
./grafana.sh
After every script has ran to completion, check the browser on http://localhost:3000 to access Grafana and login using default username and password admin for both. See the long post here
Once logged in create a data source 
Point it to Prometheus 
Set listening address 
Save the changes 
Create a new dashboard by clicking on the building a new dashboard link on the success screen or Dashboards tab on the navigation bar.
Click to import a dashboard of your choice. Select discard in the pop up that follows. You can choose from the many available ones in grafana store. 
Copy the ID of the dashboard you prefer and paste it here. This example uses PG Overview dashboard with ID 18316. 
Load it up! Import the dashboard 
It should be loaded and showing all the metrics collected by the exporter from the configured Postgres instance(node). 