Most container ports go back to their natural defaults — the offsets that existed weren't justified, they just made URLs harder to remember. Now standard: backend 8080 (was always 8080) tracking 3000 (was 13000) realtime 4000 (was 14000) web 5173 (was 15173 — already changed) kafka 9092 (was 19092) schema-registry 8081 (was 18081) localstack 4566 (was 14566) cloud-tasks 8123 (was 18123) stripe-mock 12111 (always was) Kept offset (the defaults conflict too often on real dev machines): postgres 15432 (system postgres / sibling project) redis 16379 (sibling docker projects with redis) mailpit ui 18025 (sibling docker projects with mailpit) mailpit smtp 11025 (same) kafka-ui 18090 (8080 already used by backend) Touched: docker-compose.yml, Makefile (test-seed SEED_TEST_DB), READMEs (root + deploy), local-development.md + deployment-guide.md. Internal docker-network refs (kafka:29092, mailpit:1025, etc.) unchanged — only host-port mappings moved. Compose validated, all default-profile services come up healthy on the new ports.
Warmbly Deployment
Two distinct planes, deployed differently.
| Plane | Services | How |
|---|---|---|
| Control | backend, consumer, tracking, realtime, web | Container hosting in one region (Railway in production). Stable region-pinning so KMS/DynamoDB/S3 calls stay local. |
| Execution | worker | One process per VPS, anywhere with a public IPv4. Managed from the admin dashboard over SSH. |
Directory layout
deploy/
├── docker/
│ ├── backend.Dockerfile
│ ├── consumer.Dockerfile
│ ├── worker.Dockerfile
│ └── realtime.Dockerfile
└── config/
└── env.example
The tracking Dockerfile lives at tracking/Dockerfile. The local-dev compose is docker-compose.yml at the repo root.
Building images
docker build -f deploy/docker/backend.Dockerfile -t warmbly/backend .
docker build -f deploy/docker/consumer.Dockerfile -t warmbly/consumer .
docker build -f deploy/docker/worker.Dockerfile -t warmbly/worker .
docker build -f deploy/docker/realtime.Dockerfile -t warmbly/realtime .
docker build -f tracking/Dockerfile -t warmbly/tracking tracking/
GitHub Actions publishes these to GHCR automatically. See ../resources/cicd.md.
Local development
make dev # infra + app + one worker
make sim # adds premium + dedicated workers
make seed # rich fixture
make tools # kafka-ui at :18090
make reset # nuke volumes
Full reference: ../resources/local-development.md.
Deploying the control plane
The Dockerfiles in deploy/docker/ are the deployment unit. Production runs on Railway. Other valid targets: Fly.io, ECS Fargate, single-VPS systemd. Migrations run automatically on backend boot.
Configuration is env-driven — see deploy/config/env.example for the full env reference, or ../resources/deployment-guide.md for a step-by-step.
Worker deployment
Workers run on per-VPS machines so cold-mail traffic spreads across many IPs. Worker identity is a deterministic UUIDv5 derived from the VPS's public IPv4 — same IP, same worker.
Add a worker from the admin dashboard:
- Provision a VPS, note its public IP + root user
- Admin → Workers → Add Worker
- Paste the generated SSH public key into the VPS's
~/.ssh/authorized_keys - Click Test, then Install
The backend SSHes in, uploads scripts/install-worker.sh, configures systemd, and starts the worker container. From then on, all lifecycle operations (restart, update, system updates, reboot, rotate keys, logs, uninstall) happen from the dashboard.
Manual install on the VPS is also supported:
sudo bash scripts/install-worker.sh \
--kafka kafka.example.com:9092 \
--schema-registry https://schema.example.com \
--redis redis://cache.example.com:6379 \
--aws-region us-east-1 --aws-key ... --aws-secret ...
Why per-VPS instead of Kubernetes DaemonSet
Cold-mail reputation lives at the IP level. K8s nodes typically NAT pods through a small set of egress IPs, so a per-node DaemonSet does not deliver IP diversity. Workers don't depend on Postgres, so cluster-level service discovery isn't needed. Spreading across VPS providers and regions is the only thing that actually moves the deliverability needle.
Worker env reference
Workers in production should be assigned to a worker profile in the dashboard. The profile bundles all of these:
| Env var | Source | Notes |
|---|---|---|
APP_ENV |
profile | prod selects alias/master-key; otherwise alias/master-key-dev |
AWS_REGION |
profile (via AWS credentials row) | |
AWS_ACCESS_KEY_ID |
profile (via AWS credentials row) | |
AWS_SECRET_ACCESS_KEY |
profile (via AWS credentials row) | encrypted at rest |
KAFKA_BOOTSTRAP_SERVERS |
profile | |
KAFKA_SASL_USERNAME |
profile | |
KAFKA_SASL_PASSWORD |
profile | encrypted at rest |
SCHEMA_REGISTRY_URL |
profile | |
SCHEMA_REGISTRY_KEY |
profile | |
SCHEMA_REGISTRY_SECRET |
profile | encrypted at rest |
REDIS |
profile | full URL with embedded password; encrypted at rest |
WORKER_TIER |
(worker row) | shared or dedicated |
The worker does not open a Postgres connection. Do not add one.
Auto-update
Each worker profile picks a release channel (pinned / stable / dev) and an auto_update toggle. When a GitHub release fires the webhook, the backend resolves the channel and (if auto_update=true) rolls every assigned worker. See ../resources/cicd.md.
Health checks
curl http://localhost:8080/health # backend
curl http://localhost:3000/health # tracking
curl http://localhost:4000/health # realtime