π§© Backend System Architecture Overview¶
(Git β Docker β Nginx β PostgreSQL β Redis β systemd)¶
This overview connects the dots between your core tools β how they work together to deliver a modern backend system.
You now have the whole pipeline from code commit to production runtime.
π§± 1. The Big Picture: Data Flow and Control Flow¶
ββββββββββ ββββββββββββββ ββββββββββββ
β Git β pushβ β Docker β runβ β systemd β
ββββββββββ ββββββββ¬ββββββ ββββββ¬ββββββ
β β
build images β
β β
ββββββββββββΌββββββββββ β
β Containers: β β
β ββ Nginx (proxy) β β
β ββ Backend (API) β β
β ββ PostgreSQL (DB)β β
β ββ Redis (cache) β β
ββββββββββββ¬ββββββββββ β
β β
inbound requests β
β β
Clients βββββββββββββββ
````
**Data flow summary:**
1. Users β **Nginx** β **Backend API**
2. API β **PostgreSQL** for durable data
3. API β **Redis** for caching/session data
4. All of it runs under **Docker**, orchestrated by **systemd**
5. Source code and configs tracked via **Git**
---
## βοΈ 2. Startup Order (Dependency Chain)
When your system boots or deploys:
| Order | Component | Managed By | Description |
|--------|------------|-------------|--------------|
| 1οΈβ£ | systemd | Linux | Starts Docker, PostgreSQL, Redis, Nginx |
| 2οΈβ£ | Docker | systemd | Brings containers online |
| 3οΈβ£ | Databases (Postgres, Redis) | Docker Compose | Foundational services |
| 4οΈβ£ | Application backend | Docker Compose | Connects to DBs |
| 5οΈβ£ | Nginx | Docker Compose | Public entrypoint |
| 6οΈβ£ | Developers | Git | Deploy and version control updates |
π‘ In production, **systemd manages Docker**, while **Docker manages everything else.**
---
## π§° 3. Git: The Source of Truth
**Purpose:** Version control for everything β code, Dockerfiles, configs.
```bash
git clone repo-url
git commit -m "Add Nginx reverse proxy"
git push origin main
````
**Best practice:**
Store `.env.example`, `docker-compose.yml`, `nginx.conf`, and service configs in Git β but **never credentials**.
Use `.gitignore` for:
---
## π³ 4. Docker: The Environment Fabric
**Purpose:** Package and run every service in isolation.
Typical structure:
**docker-compose.yml**
```yaml
services:
nginx:
image: nginx:latest
ports: ["80:80"]
backend:
build: ./backend
depends_on: [postgres, redis]
postgres:
image: postgres:16
redis:
image: redis:7
Docker defines your runtime graph; Compose defines relationships. Everything above this line (Nginx, API, DB) lives in its own lightweight container.
π 5. Nginx: The Front Gate¶
Purpose: Routes HTTP traffic, handles HTTPS, and load-balances backend requests.
Flow:
Common setup:
server {
listen 80;
server_name example.com;
location /api/ { proxy_pass http://backend:8080; }
location / { root /usr/share/nginx/html; }
}
Nginx offloads:
- SSL termination
- Static assets
- Reverse proxying
- Rate limiting and caching
π 6. PostgreSQL: The Reliable Store¶
Purpose: Permanent relational data. It lives in its own container with a mounted volume for persistence.
Connections:
Rules of thumb:
- Use volumes for data durability.
- Create separate users for apps.
- Use pgAdmin or IDE to manage schemas.
π΄ 7. Redis: The Speed Layer¶
Purpose: In-memory cache, session store, and message broker. Communicates with backend over internal Docker network.
Common patterns:
- Cache-Aside (read-through)
- Pub/Sub for async events
- Distributed locks (e.g., for job workers)
Spring Boot example:
Redis acts as the short-term memory of your system.
βοΈ 8. systemd: The Foundation Layer¶
Purpose: Boot, supervise, and restart everything automatically.
systemctl controls Docker, PostgreSQL, Redis, and Nginx daemons:
systemd ensures services recover after crashes and start at boot.
π 9. Lifecycle Summary¶
| Phase | Tool | Purpose |
|---|---|---|
| Development | Git, Docker Compose | Build and test stack locally |
| Startup | systemd | Boot and manage background services |
| Runtime | Docker | Run isolated services |
| Networking | Nginx | Route traffic |
| Persistence | PostgreSQL | Store structured data |
| Performance | Redis | Cache data and speed up requests |
| Recovery | systemd | Auto-restart failed services |
| Versioning | Git | Track everything that changes |
π§ 10. Environment Interaction Diagram¶
βββββββββββββββββββββββββββββββββββββββ
β Clients β
β (Browser, API consumer, mobile app) β
βββββββββββββββββββββββββββββββββββββββ
β
βΌ
ββββββββββββββββββ
β Nginx β (HTTP entrypoint)
ββββββββββββββββββ
β
βΌ
ββββββββββββββββββββββ
β Backend (API) β
β (Spring, Python) β
ββββββββββββββββββββββ
β β
SQL queries Cached data
β β
βΌ βΌ
ββββββββββββββββββ ββββββββββββββββββ
β PostgreSQL β β Redis β
β (data at rest) β β (data in RAM) β
ββββββββββββββββββ ββββββββββββββββββ
β²
β
ββββββββββββββββββ
β Docker β
β (runs all) β
ββββββββββββββββββ
β
βΌ
ββββββββββββββββββ
β systemd β
β (boots Docker) β
ββββββββββββββββββ
β
βΌ
ββββββββββββββββββ
β Git β
β (build source) β
ββββββββββββββββββ
π§° 11. Developer Flow: βFrom Code to Live Systemβ¶
- Code change β Commit in Git.
- Build image β Docker builds backend image.
- Run stack β
docker compose up -d. - Test endpoints β via Nginx reverse proxy.
- Persist data β PostgreSQL.
- Speed up responses β Redis caching.
- Control startup & uptime β systemd.
- Repeat confidently β everything reproducible and tracked.
π 12. Security & Configuration Flow¶
| Layer | Responsibility |
|---|---|
| Nginx | SSL, headers, access control |
| Docker | Container isolation |
| PostgreSQL | Authentication, roles |
| Redis | Password protection, internal-only binding |
| systemd | OS-level permissions, restart policy |
| Git | Audit trail, version history |
π§ 13. Future Expansions¶
Once youβre comfortable with this foundation:
- Add CI/CD (GitHub Actions, Jenkins, or GitLab CI).
- Introduce Prometheus + Grafana for monitoring.
- Explore Kubernetes (for distributed orchestration).
- Use Ansible or Terraform for infrastructure automation.
β 14. Summary¶
- Git β tracks your code and infrastructure definitions.
- Docker β builds and isolates your runtime.
- systemd β ensures your stack survives reboots.
- Nginx β routes and protects requests.
- PostgreSQL β stores long-term state.
- Redis β provides instant responses and caching.
Everything fits like gears in a machine β from developer commit to production uptime.