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$ show twtrubiks/docker-tutorial

[account β†—] [repo β†—] APPLICATION β˜… 1887 305 ● maintained (last update 4 months ago)
reviewed by: deepseek/deepseek-v4-flash

This repository is an educational Docker tutorial centered on a functional Django REST API application. The core implementation uses Docker Compose to orchestrate two services: a Django web container (DRF) and a PostgreSQL container, with explicit health checks, JSON-file logging limitations, named volumes, and user-defined networks. The Django API itself is a basic music CRUD service with endpoints under /api/musics, secured behind authentication, and housed in a straightforward project structure that demonstrates the typical pattern of a containerized Python microservice. Beyond the main tutorial, the repo provides stand-alone Docker Compose examples covering advanced patterns: YAML anchors to reduce configuration repetition, docker-compose override to batch operate multiple databases, environment variable substitution with .env files, profiles for selective service boot, and cAdvisor for container resource monitoring. Each subfolder includes a README and ready-to-run configuration, making the entire repository a one-stop teaching resource for Docker Compose patterns and best practices. The code is not intended as a production tool but rather as a self-contained, reproducible learning blueprint that shows how to build and manage containerized stacks with modern features. While the application layer is deliberately simple, the Docker-compose layer embodies several good practices around health and logging, and the advanced usage of YAML anchors and overrides exemplifies high-quality configuration craftsmanship that is directly reusable in other projects.

RATING6.5/10
QUALITY6.5/10
MAINTENANCEmaintained
DRIFTmedium
CONTRIBUTORS1
VELOCITY0.61
OPEN ISSUES0
CLOSED ISSUES11
LAST COMMIT4 months ago
Files by Type (count)
Markdown
16
Python
11
YAML
9
Dockerfile
2
Shell
2
Config
2
Other (no ext)
1
Text
1
Other (.service)
1
Env
1
Files by Type (size)
Markdown
131KB
Python
8KB
YAML
4KB
Other (no ext)
1KB
Shell
583B
Config
406B
Other (.service)
325B
Dockerfile
276B
Text
57B
Env
31B

The LLM identified 3 files worth highlighting for reuse:

Demonstrates the YAML Anchors feature to define a shared base configuration (image, restart, logging, volumes) with the `&-` & `<<` merge key. This allows three nginx service clones to avoid repetitious declarations. It also highlights that merged array keys (volumes) are overwritten by the service-level definition, so to retain the base volumes one must re-add them manually – a non-obvious gotcha. The pattern is directly usable in any multi-service Docker Compose project to reduce YAML maintenance.

file: docker-yaml-anchors/docker-compose.yml β†— | tags: #yaml-anchors #configuration-reuse #docker-compose-pattern

A Bash script used as the Docker container entrypoint. On each startup it runs Django migrations (`makemigrations` + `migrate`) and creates a admin auth superuser only if not already present (tamed via `--noinput`). After initialization, it executes the main container command (`exec "$@"`). The script encapsulates the 'run-time initialization' pattern that many image require: it's clear, idempotency, and can be adapted for any framework needing schema migrations during startup .

file: api/docker-entrypoint.sh β†— | tags: #entrypoint #startup-init #idempotent

A bash script that iterates over a list of Odoo databases and for each one sets an environment variable (`DB_NAME`) and runs `docker compose up -d` with a corresponding override file. This enables batch application of Odoo addons across multiple databasesβ€”each usage overrides the command stand-ins for the web service. The script is a reusable pattern for any scenario that uses compose-file overrides combined with environment variable interpolation to run multiple iterations of a changed services with different parameters.

file: docker-compose-override/odoo18_example_docker_override/auto.sh β†— | tags: #bash-iteration #docker-compose-override #parameterized-compose
Last analyzed: 2026-09-11 08:58:31.898094
Next check: 2026-10-11 08:58:31.886773
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