1. Clone the aseemsDB repo at https://github.com/aseem-keyal/aseemsDB
2. Make an empty directory to store the recoll configuration and index
3. Edit dev.yml to mount the following directories as volumes:
   1. the app folder inside the aseemsDB repo you cloned (skip this if you don't want to make any changes to the app and just run it as is)
   2. the packet archive you want to index using aseemsDB
   3. the empty recoll configuration you created
4. Run docker-compose -f dev.yml up
5. Run docker exec -it aseemsdb recollindex in order to run the initial recoll index operation. Once this completes, you can CTRL+D or exit out of the container
6. Open localhost:8080 in your browser and the app folder inside your cloned aseemsDB repo in your text editor/IDE of choice

Edits to the aseemsDB source code should auto-reload the uvicorn server and be reflected in the running app.

1. Clone this repo on your server into your home directory
2. Create an empty recollconf directory and a populated packet_archive directory in your home directory
3. Register the domain for aseemsDB and the following subdomains: traefik.yourdomainhere , grafana.yourdomainhere, and prometheus.yourdomainhere
4. Follow the guide at https://dockerswarm.rocks/ to set up Docker Swarm.
5. Follow the first three steps of the guide at https://dockerswarm.rocks/traefik/ to set up a docker network and node for traefik
6. Edit the prod.sh file and then run source prod.sh to set the relevant environment variables
7. Edit the prometheus data source in grafana/provisioning/datasources/datasource.yml to point to the prometheus endpoint you're exposing (prometheus.yourdomain:8082)
8. Set the ACCESS_KEY and SECRET_KEY environment variables for your S3 bucket (if you don't want to backup to S3 you can remove the backup service from docker-compose.yml)
9. Run docker network create --driver=overlay inbound to create another docker network
10. Run docker stack deploy -c docker-compose.yml aseemsdb to create all the services
11. Give the services a minute or two to start up and then you should be able to go to your domain and see the aseemsDB UI
12. Run docker exec -it [aseemsdb container name here] bash to enter the aseemsdb container and then run recollindex to start indexing

You now have a deployed instance of aseemsDB with metrics, logging, and automated backups that can be scaled by adding more docker swarm nodes to your cluster.