This page details how the code goes from development to deployment on a pre-prod VM.
Git repo: https://github.com/ral-facilities/user-upload-service
Harbor repo: https://harbor.stfc.ac.uk/harbor/projects/122230/repositories
VM Deployment (VPN needed): http://host-172-16-114-165.nubes.stfc.ac.uk/
View metadata in pre-prod
VM ICAT metadata can be seen by:
Turning off mixed content restrictions in Chrome
visiting https://vigorous-lamarr-7b3487.netlify.app/
setting http://host-172-16-114-165.nubes.stfc.ac.uk as the server
auth=simple, user=root, password=pw
At the moment the deployment in the VM is done manually by bringing up/down the docker-compose stack.
Preparing for pre-prod deployment
The following variables need to be changed/checked to deploy to pre-prod from a local working system:
Change/check the reverse proxy options for the upload container
Change/check the docker-compose options for:
datagateway
UPLOAD_URL
upload S3 endpoint and credentials to point to ECHO
upload image should be pulled from Harbor
Metrics on Pre-Production
Metrics are gathered using a Prometheus server at http://host-172-16-103-209.nubes.stfc.ac.uk:8080/ (details on how it was set up here)
This polls the Upload metrics URL, available at http://host-172-16-114-165.nubes.stfc.ac.uk/upload-service/metrics
These are then displayed in Grafana at http://host-172-16-114-165.nubes.stfc.ac.uk/grafana/
Alex Kemp holds the access credentials for these.
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