Deployment in the Cloud

There are several aspects to the way the Bioregistry web application is deployed listed in this section.

Domain Name

The domain is registered with Namecheap and costs about $33 per year. It is managed and supported by the INDRA Lab, a part of the Laboratory of Systems Pharmacology and Harvard Program in Therapeutic Science (HiTS) at Harvard Medical School.


The Bioregistry is hosted on an Amazon Elastic Compute Cloud (EC2) via a load balancing service to stay secure and highly available. It is managed and supported by the INDRA Lab, a part of the Laboratory of Systems Pharmacology and Harvard Program in Therapeutic Science (HiTS) at Harvard Medical School.


These are the software and operating system specifications for the currently running instance of the Bioregistry:

Bioregistry Version
Platform Version
#29-Ubuntu SMP Mon Oct 5 15:30:10 UTC 2020
2023-08-09 15:56:32.012036


A Docker image is automatically built nightly following the update workflow on GitHub Actions and pushed to the biopragmatics/bioregistry DockerHub repository. This image is built with the Python 3.9 alpine base image, which significantly reduces non-essential components. The final compressed image weights less than 40 MB of disk space and runs inside Docker with about 65 MB of memory at baseline. This could easily fit on a dedicated t4g.nano instance on AWS that costs about $37/year on-demand or around $20/year reserved.


The Bioregistry's EC2 instance runs the following script on a cron job that stops the current running instance, pulls the latest image from this DockerHub repository and starts it back up. The whole process only takes a few seconds.

# /data/services/

# Store the container's hash
BIOREGISTRY_CONTAINER_ID=$(docker ps --filter "name=bioregistry" -aq)

# Stop and remove the old container, taking advantage of the fact that it's named specifically

# Pull the latest
docker pull biopragmatics/bioregistry:latest

# Run the start script, remove -d to run interactively
docker run -id --name bioregistry -p 8766:8766 biopragmatics/bioregistry:latest

This script can be put on the EC2 instance and run via SSH with:


ssh -i ~/.ssh/<credentials>.pem <user>@<address> 'sh /data/services/'


The SSL/TLS certificate for so it can be served with HTTPS is managed through the AWS Certificate Manager.

Project Longevity

The deployment of the Bioregistry is currently funded by the DARPA Young Faculty Award W911NF2010255 grant. Due to its low cost, the Laboratory of Systems Pharmacology at Harvard Medical School has additionally committed discretionary (i.e., not tied to a project) funding to continue running the Bioregistry instance at

The Bioregistry project is also interested in acquiring grants to help ensure its longevity. We give a conservative estimate of around $100-200/year to support domain registration, AWS costs, and personnel time for maintenance. This means that the Bioregistry could cost as little as $1,000 to run for 10 years (which is much longer than most scientific databases/websites are able to persist).


The Bioregistry can be mirrored following these instructions.

Deploying with Custom Content

The Bioregistry can be deployed using custom content by following these instructions.

Project Governance

Stakeholders in the Bioregistry have been interested in questions including:

  • Will the service still be running in 10 years?
  • Who makes technical decisions about how the web application?
  • Who makes curation decisions about the underlying registry?
  • Should there be acceptance criteria for new entries, such as a minimum metadata standard or assessment of impact?
  • How will the Bioregistry avoid the pitfalls of a closed curation process like the one implemented by
  • How should inevitable prefix/namespace collisions be handled?

These questions do not have easy answers and apply to most databases, software, and web applications in the life sciences. As first steps towards addressing those, we have written explicit, public, well-defined contribution guidelines, code of conduct, and project governance.

If you would like to be part of this discussion and/or development of these policies, you can try the following:

Evaluation of FAIR Data Principles

Content negotiation was implemented in PR #682 in order to better comply with FAIR-ness evaluations such as th FAIR Enough Evaluation