updated docs

7project/report.md

@@ -79,6 +79,14 @@ The workflow works in the following way:
   etc.).
 - Deployment Chart (charts/myapp-chart/): Helm chart to deploy the application to Kubernetes.
 
+### Other services deployed in the cluster
+
+- Longhorn: distributed storage system providing persistent volumes for the database and other services
+- Prometheus + Grafana: monitoring stack collecting metrics from the app and cluster, visualized in Grafana dashboards
+- MariaDB operator: manages the MariaDB cluster based on Custom resources, creates Databases, users, handles backups
+- RabbitMQ operator: manages RabbitMQ cluster based on Custom resources
+- Cloudflare Tunnel: allows public access to backend API running in the private cluster, providing HTTPS
+
 ### Technologies Used
 
 - Backend: Python, FastAPI, FastAPI Users, SQLAlchemy, Pydantic, Alembic, Celery
@@ -202,10 +210,10 @@ bash upgrade_database.sh
 
 ### 5) Run backend
 
+Before running the backend, make sure to set the necessary environment variables. Either by setting them in your shell 
+or by setting them in run configuration in your IDE.
 ```bash
 cd backend
-
-#TODO: set env variables
 uvicorn app.app:fastApi --reload --host 0.0.0.0 --port 8000
 ```
 
@@ -258,7 +266,7 @@ via GitHub actions and Helm chart. Frontend files are deployed to Cloudflare pag
 
 ### Setup Cluster
 
-Deployment should work on any Kubernetes cluster. However, we are using 4 TalosOS virtual machines (1 control plane, 3
+Deployment should work on any Kubernetes cluster. However, we are using 5 TalosOS virtual machines (1 control plane, 4
 workers)
 running on top of Proxmox VE.