README ====== Quick notes for running this repository (development & observability) Running locally (development) - Use the included compose files. To run the dev stack (overrides) set `COMPOSE_ENV=dev` so the correct env file is loaded: ```sh # run nginx on non-privileged ports (see .env.dev) COMPOSE_ENV=dev docker compose -f docker/docker-compose.prod.yml -f docker/docker-compose.dev.yml up -d --build ``` Background task workers (automatic) - The compose stack now includes a dedicated `worker` service which runs: ```sh python manage.py db_worker ``` - This means workers start automatically with `docker compose up` and restart on failure. - To inspect worker logs: ```sh docker compose logs -f worker ``` - To scale workers (for higher throughput): ```sh docker compose up -d --scale worker=2 ``` Troubleshooting `SIGKILL` when running manually - A `SIGKILL` on `db_worker` is usually the kernel OOM killer (out-of-memory), not a Django exception. - Check kernel OOM events: ```sh dmesg -T | grep -i -E "killed process|out of memory|oom" ``` - If OOM is confirmed, prefer running worker inside compose (managed restart + container limits), reduce concurrency/parallel services, or add memory/swap. Manual worker startup (non-Docker production) - If you are not yet running production in Docker, start the worker using the restart wrapper script: ```sh source .venv/bin/activate DJANGO_SETTINGS_MODULE=rad.settings ./scripts/run-db-worker.sh ``` - This script restarts `db_worker` if it exits unexpectedly. - To run it in the background and keep logs: ```sh nohup env DJANGO_SETTINGS_MODULE=rad.settings ./scripts/run-db-worker.sh > logs/db_worker.log 2>&1 & ``` - In fish shell, follow with `disown` so the shell does not keep the job attached: ```sh nohup env DJANGO_SETTINGS_MODULE=rad.settings ./scripts/run-db-worker.sh > logs/db_worker.log 2>&1 & disown ``` - For server reliability, prefer running the same script under `systemd` (auto-start on reboot, restart-on-failure). - A starter unit file is provided at `scripts/db-worker.service.example`. - To verify it is still running: ```sh ps aux | grep "manage.py db_worker" | grep -v grep tail -f logs/db_worker.log ``` - By default the development nginx ports are set in `.env.dev` to avoid colliding with a host nginx. The defaults now are: - `NGINX_HTTP_PORT=8080` - `NGINX_HTTPS_PORT=8444` Logging & observability (Loki + Promtail + Grafana) - Promtail is configured to scrape `/var/log/rad/*.log` and push to Loki. Promtail's config is at `docker/promtail-config.yml` and the Loki config is at `docker/loki-config/local-config.yaml`. - The nginx configs (both `deploy/nginx/prod.conf` and `deploy/nginx/dev.conf`) are configured to write access and error logs to `/var/log/rad/nginx.access.log` and `/var/log/rad/nginx.error.log` respectively. - The compose files mount a host `logs/` folder into `/var/log/rad` so both nginx (write) and promtail (read) can access the same files: - `../logs:/var/log/rad:rw` (nginx) - `../logs:/var/log/rad:ro` (promtail) Host setup for logs - Create the host logs folder at the repo root (this repo's `logs/`). In development you can use permissive permissions so containers can write to it quickly: ```sh mkdir -p logs # development: make writable by all (change this for production) sudo chown $USER:$USER logs chmod 0777 logs ``` - In production prefer setting the folder owner to the nginx worker UID (or run nginx under a specific user) and use `0755` or `0750` as appropriate. Example: ```sh # run on the host (determine nginx UID as needed) sudo chown -R 101:101 /srv/rad/logs sudo chmod 0755 /srv/rad/logs ``` Viewing logs in Grafana - Grafana is available on the port exposed by compose (default `3000`). - The Loki datasource is configured to use `http://loki:3100` (see compose). In Grafana Explore choose the Loki datasource and run queries such as: - `{job="rad_app"}` (all collected logs) - `{job="rad_app", filename="/var/log/rad/nginx.access.log"}` Notes & recommendations - In development the `logs/` folder is ignored by git (`/.gitignore` updated). Do not commit runtime logs. - Consider a log rotation/retention policy for production (e.g., `logrotate` or use Loki retention policies). - If you need nginx to re-resolve the backend service IP without restarting, consider using `resolver` and variable-based upstreams in the nginx config. For many development workflows restarting nginx after web restarts is the simplest approach. If you want, I can also add a short `docs/OBSERVABILITY.md` with more details and recommended production settings (TLS/auth for Loki, retention, log rotation).