Docker Compose vs Kubernetes vs a PaaS: what a small team should use

Three tools keep coming up when a team has more than one service to run: Docker Compose, Kubernetes and a PaaS. They are not rivals so much as three points on a trade-off between effort and control. Picking the wrong one costs either weeks of setup or a ceiling you hit at the worst time.

The short version

	Docker Compose	Kubernetes	A PaaS
Setup effort	An afternoon	Weeks to months	Minutes
Config you write	One docker-compose.yml	Several manifests per service	A short config or none
Zero-downtime deploys	No, containers restart	Yes, if configured right	Usually built in
Multiple machines	No	Yes	Handled for you
Server maintenance	All yours	All yours, times a cluster	None
Control and flexibility	High, one host	Maximum	Limited to what it offers

Docker Compose

Compose describes several containers in one file and starts them together. It is wonderful for local development and perfectly reasonable for a hobby project on a single VPS.

Know its limits:

• depends_on controls start order, not whether the dependency is actually ready.
• Redeploying normally restarts containers, so there is a short outage.
• Secrets tend to end up in plain .env files on the server.
• It is one machine. When it dies, everything dies.
• Patching the OS, renewing certificates and monitoring are your job.

Kubernetes

Kubernetes solves almost every operational problem: rolling updates, self-healing, scaling, secrets, multi-node scheduling. The price is complexity. A single small service typically needs a Deployment, a Service, an Ingress and a Secret, and every one has label selectors that must agree.

It is the right tool when you have the scale, or a team member whose job includes running it. For a three-person team shipping a product, it is often a full-time job you did not budget for.

A PaaS

A platform takes your code and gives you the result of all that machinery without the machinery: build, deploy, HTTPS, restarts, secrets. The cost is that you work within its model, and you rely on the vendor.

Many PaaS options assume one app per repo. A monorepo-focused platform like Prongo instead reads a single prongo.yaml and deploys all services in dependency order. It runs on Kubernetes under the hood, which is why you get zero-downtime rollouts, but you never write a manifest. The compare page shows the same three-service app in all of these side by side.

How to decide

Ask three questions:

1. How many machines will you need? One, and you accept brief downtime: Compose. Several, or no downtime: keep reading.
2. Does anyone want to operate a cluster? If yes, and you will use its flexibility, Kubernetes. If no: a PaaS.
3. Is your repo a set of connected services? Then prefer a platform that understands the repository as a whole, so deploy order and shared secrets are not your problem.

A sensible path

Start with Compose locally. Keep your Dockerfiles clean, since every option above builds from them. Deploy to a PaaS when you want to stop thinking about servers, and graduate to Kubernetes only when you can name the specific limit you hit. Containers are the portable part, so you can change your mind later without rewriting the app.