Docker Deployment Architecture

--8<-- "diagrams/website/deployment.mmd"

Notes

Dev network (biergarten-dev, bridge): internal DNS resolves sql-server and api. Volumes: biergarten-dev-data. Startup order: SQL Server (health check) → migrations (run-once) → seed (run-once) → API (long-running).
Test network (biergarten-test, bridge): all test components isolated; fresh DB instance each run (CLEAR_DATABASE=true, ephemeral biergarten-test-data volume). All tests run in parallel, results aggregated.
Prod network (prodnet, bridge): isolated from dev/test networks. Volumes: sqlserverdata-prod, nuget-cache-prod. No seed step in production.
Database-only environment: same devnet volumes/images as docker-compose.dev.yaml, minus api.core and mailpit — for working against the database without running the API.
Minimal environment: database + mailpit only, no API container — for frontend development against an API.Core process run outside Docker.
unit.tests builds Dockerfile.tests, which restores/builds against Core.slnx then runs dotnet test for every Features/*.Tests project in turn (Features.Users.Tests, Features.Breweries.Tests, Features.Emails.Tests), mocking each handler's repository/service dependencies with Moq — no real database needed.
.trx results are readable by Visual Studio, Azure DevOps, and GitHub Actions.