diff --git a/docs/DEPLOYEMENT.md b/docs/DEPLOYEMENT.md
new file mode 100644
index 000000000..3fd4cd869
--- /dev/null
+++ b/docs/DEPLOYEMENT.md
@@ -0,0 +1,28 @@
+# Deployment
+
+We are maintaining two services, the [webapp](https://discolab.ai/) and the [server](https://disco-zbkj3i466a-oa.a.run.app/).
+Both are automatically deployed when pushing to the main branch via [a workflow of our CI](../.github/workflows/publish-deploy.yml).
+
+## webapp
+
+It is first built using a classic `npm -ws run build`.
+Then is gets deployed to GitHub Pages,
+with a [custom domain](https://docs.github.com/en/pages/configuring-a-custom-domain-for-your-github-pages-site).
+
+## server
+
+First, a [container image](<https://en.wikipedia.org/wiki/Containerization_(computing)>) is built
+using the repo's [Dockerfile](https://docs.docker.com/reference/dockerfile/).
+It gets pushed to [GitHub Packages](https://docs.github.com/en/packages).
+
+It is then deployed to [Google Cloud via Cloud Run](https://cloud.google.com/run).
+
+### Google Cloud specifics
+
+The GitHub Action runner is authenticated via a
+[Direct Workload Identity Federation](https://github.com/google-github-actions/auth?tab=readme-ov-file#preferred-direct-workload-identity-federation)
+to gives it the rights of a [service account](https://cloud.google.com/iam/docs/service-account-overview)
+which can administrate the deployment of the images.
+
+The image itself is proxied via a [remote Artifact Registry](https://cloud.google.com/artifact-registry/docs/repositories/remote-overview)
+as Google doesn't allow to directly get it from GitHub Packages.
diff --git a/server/README.md b/server/README.md
index 03080ee97..09ff7d0d5 100644
--- a/server/README.md
+++ b/server/README.md
@@ -97,57 +97,3 @@ npm -w server test
 
 > [!WARNING]
 > If you are running a VPN, docker might not properly work, e.g. `http://localhost:8080/` will result in `page not found`.
-
-### Deploying to the Cloud
-
-#### Google App Engine
-
-Google App Engine (GAE) creates an HTTPS certificate automatically, making this the easiest way to deploy the helper server in the Google Cloud Platform.
-
-Since we need to install some required dependencies we deploy using Docker, we do this by choosing:
-
-```yml
-runtime: custom
-```
-
-in the `app.yaml` file.
-
-Deployment files:
-
-- `app.yaml` - GAE app config file.
-- `Dockerfile` - Docker [commands](https://docs.docker.com/engine/reference/builder/) we specify.
-- `.dockerignore` - Files to ignore while building the image, e.g. `node_modules/`.
-
-To change the GAE app configuration, you can modify the file `app.yaml`.
-
-> [!WARNING]
-> Make sure you allocate enough memory!
-
-Note that the size of the container can be quite large (e.g 600mb), if the alloted memory is too small then there might be 503 [errors](https://groups.google.com/g/google-appengine/c/BawYguWHq7Q) when deploying that hard tricky to debug.
-
-To deploy the app on GAE, you can run the following command, where disco-313515 is the current PROJECT-ID:
-
-```sh
-gcloud app deploy --project=deai-313515 app.yaml --version prod
-```
-
-:exclamation: Important!
-| :exclamation: This is very important |
-|-----------------------------------------|
-When deploying check that in the google cloud console -> app engine -> versions, that no new instance is created as this will increase the cloud costs.
-This should not happen in principle due to the "--version dev" flag, it is however a good idea to check this the first time you run this command.
-
-Some useful resources:
-
-- [Docker sample app](https://docs.docker.com/get-started/02_our_app/)
-- [Dockerfile reference](https://docs.docker.com/engine/reference/builder/#from)
-- [GAE sample app](https://cloud.google.com/appengine/docs/standard/nodejs/building-app/deploying-web-service)
-
-#### Docker
-
-In the docker container we specify the environment and what dependencies to install. Perhaps most importantly, once this is this done, we specify:
-
-1. npm run build
-2. npm run start
-
-The first line compiles the ts code into js, and the second one then runs the compiled code.