Docker has become the default for deploying applications. But here’s the uncomfortable truth: most teams are using Docker wrong, and it’s costing them time, money, and sanity.
The Problem
Docker was designed for microservices at scale. Yet teams with 3 developers and a single monolith are containerizing everything. The result?
- 30-minute build times for a simple PHP app
- 17 layers of abstraction between you and your code
- Docker Compose files longer than your actual application
- Network debugging that requires a PhD in overlay drivers
When Docker Actually Helps
Let me be clear: Docker solves real problems. But only specific ones:
- Multi-service architectures with 5+ independent services
- Cross-team environments where consistent runtime matters
- CI/CD pipelines that need reproducible builds
- Local development for complex stacks (databases, caches, queues)
When Docker Hurts
For everything else, you’re paying a tax:
Scenario Docker Overhead Alternative Single Python API High venv + systemd Static frontend Extreme nginx + CDN PHP monolith High PHP-FPM + nginx Small team (<5 devs) Medium Direct deploymentThe Real Cost
Every layer of abstraction has a cost. Docker adds:
- Debugging complexity (logs, networking, volumes)
- Build time (image layers, caching, registry)
- Security surface (container escapes, vulnerable base images)
- Cognitive load (when did your team last read Docker docs?)
What To Do Instead
- Start simple. Deploy directly to a VPS first.
- Add Docker only when you feel the pain. Not before.
- Use Docker for development, not production. Local consistency ≠ production complexity.
- If you must container, use distroless images. Fewer layers = fewer problems.
The Bottom Line
Docker is a tool, not a religion. The best engineers I know use the simplest solution that works. Sometimes that’s Docker. Often it’s not.
Stop containerizing everything. Start thinking about what you’re actually solving.
What’s your Docker horror story? I’ve got a whole folder of docker-compose.yml files I’d love to burn.