Why Docker shouldn’t be the first step for every web app deployment

The debate over whether Docker should be the default deployment method for every web app often turns into a binary argument. But the reality is far more nuanced. Docker is undeniably useful for databases, internal tools, and projects with complex dependency chains. Yet, when it becomes the first step in deploying even a simple side project or small SaaS, it can transform a straightforward process into a multi-layered ordeal.

The unintended weight of modern deployment tutorials

A decade ago, deploying a web app felt straightforward: build the code, copy files to a server, start the application, and route traffic. Today, many tutorials quietly escalate this into a seven-step marathon:

• Writing a Dockerfile.
• Selecting a base image.
• Managing build layers.
• Pushing to a registry.
• Pulling the image on the server.
• Configuring Docker Compose.
• Debugging container exits.

None of these steps are inherently bad. They solve real problems—repeatability, isolation, and consistency. But for a two-route webhook handler or a weekend dashboard, they introduce friction before the app even runs. The developer’s focus shifts from solving business logic to mastering infrastructure quirks.

When plain processes outperform containers

A virtual private server (VPS) is, fundamentally, a computer. It can run binaries directly. For many applications—especially those written in Go, Rust, Node.js, or Python—the limiting factor isn’t whether the server can execute the compiled code. It’s everything else:

• How traffic reaches the app.
• How HTTPS is configured.
• How updates are deployed without downtime.
• Where logs are stored.
• How secrets are managed.
• How crashes are handled.

Containers excel at isolation and portability, but they introduce new variables: image size, build caching, registry authentication, volume paths, and base image updates. These concerns matter after the app works. They shouldn’t gate the first deployment.

The case for a simpler deployment flow

The ideal workflow—at least for small projects—should feel almost boring:

# Build the app locally
go build -o my-app main.go

# Copy the binary to the server
scp my-app user@server:/home/user/

# Run it directly
./my-app

This simplicity doesn’t mean sacrificing reliability. A lightweight proxy like Nginx can route traffic, handle HTTPS with Let’s Encrypt, and balance between multiple instances. Process managers like systemd can ensure the app restarts on crashes. Environment variables can live in a secure secrets manager, not scattered across .env files.

The goal isn’t to avoid Docker forever. It’s to delay the complexity until the app actually needs it. Only when an application grows into a microservices architecture or requires strict runtime isolation should containers become the default.

Reclaiming the "boring" deployment ideal

Modern tooling often overcomplicates the path to production. The best deployment tools should feel like extensions of the language runtime, not gateways to cloud architecture. Take, for example, tools like Tako, which aim to bridge this gap:

• Initialize the project locally.
• Define your servers in a simple config.
• Deploy with a single command.

tako init
tako servers add
tako deploy

This approach prioritizes getting the app online first. It treats the server as a helper, not as a platform that demands expertise in container networking before the first line of code runs. The fewer files, concepts, and moving parts involved, the faster developers can iterate.

Docker deserves its place—but not as the default

Docker is a powerful solution to real problems: consistent runtimes, isolated services, and reproducible builds. However, it’s not the only solution. The web has a habit of turning powerful tools into mandatory tools, and Docker risks becoming another such gatekeeper.

The default deployment path should feel calm, not chaotic. It should let developers focus on writing code, not wrestling with infrastructure. Docker should remain an option—a tool for when the app outgrows simpler methods—not the entrance fee for every project.

In the end, the best deployment strategy is the one that lets the app run on Monday morning, not the one that requires a week of container debugging.