Building AI Solutions with Docker Compose and Kubernetes Expertise

You’re building AI workloads. That means juggling Python packages, GPU drivers, REST APIs, databases, maybe even a Kafka pipeline. And guess what?
If you’re still managing that with bash scripts and hope — you’re doing it wrong.

This guide walks through how Docker Compose helps tame the chaos of modern AI projects — and how to wield it with the finesse of someone who’s actually shipped containers in production, not just played around with notebooks.

We’ll cover real-world usage: from environment handling and image pull policies to secrets, resource limits, and how docker compose watch can actually save your sanity during dev cycles. We’ll even touch on how to hand off your Compose stack to Kubernetes without rage-quitting.

Compose 2.x: A Dev Tool That’s Grown Up#

Yes, Compose is still your best friend for local development. But these days, it’s also a serious CI/CD asset and a damn good staging orchestrator — if you know how to use it right.

Let’s get practical.

Environment Variable Precedence: Know Who Wins the Fight#

By default, Compose now favors your shell environment over values in your .env file.

That means this:

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export DATABASE_URL=postgres://prod.db

…will override this in .env:

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DATABASE_URL=postgres://dev.db

Good. That’s exactly what you want in CI/CD, where secrets should never touch source control.

📖 Environment Variables — Compose Docs

Controlling Image Pulls: Don’t Get Burned by Stale Containers#

You have two good ways to pull fresh images:

Force it every time:
Terminal window
```
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docker compose up --pull always
```

Lock it in the Compose file:

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services:
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  app:
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    image: my-image:latest
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    pull_policy: always

pull_policy supports: always, if_not_present, and never.

Use it. Otherwise, you’ll spend hours debugging only to realize your CI pulled an old image from cache while you were yelling at your pipeline.

SSH & Secrets: Handling Sensitive Stuff Like an Adult#

With BuildKit now default, Compose gives you better control over build-time secrets and SSH access.

SSH During Builds#

Need to clone a private repo during a Docker build?

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services:
2
  app:
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    build:
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      context: .
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      ssh:
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        - default=/home/user/.ssh/id_rsa

Your key never ends up in the image. No more “oops I leaked my SSH key to Docker Hub”.

Runtime Secrets#

Compose doesn’t support Docker Swarm-style secrets, but you can fake it with mounted files or env vars — or better yet, vault integration if you’re serious.

📖 SSH & Secrets in Compose

Live Reloads with `docker compose watch`: Real Dev Speed#

You want rapid feedback loops? Use the watch command.

Real-World Example: Node.js App#

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services:
2
  app:
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    image: node:18
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    volumes:
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      - .:/app
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    working_dir: /app
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    command: npm start
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    environment:
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      NODE_ENV: development
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    ports:
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      - "3000:3000"
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    labels:
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      com.docker.compose.watch: "true"

Then run:

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docker compose up
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docker compose watch

Any time you change files locally, the container updates. No more rebuilding, restarting, or wondering why your fix didn’t take.

📖 Docker Compose Watch Docs

Override Files: Keep Dev and Prod from Colliding#

If you’re still cramming all your configs into one compose.yaml, stop. Use:

compose.override.yaml for local tweaks
docker compose -f base.yaml -f prod.yaml to layer configs
include: blocks (if you’re fancy and using Compose v2+)

Cleaner. Safer. Easier to debug.

📖 Extending Compose Files

YAML Anchors: DRY or Die#

Compose YAMLs get messy. Use anchors:

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x-default-env: &default-env
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  NODE_ENV: production
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services:
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  web:
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    image: webapp
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    environment: *default-env
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  api:
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    image: apiserver
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    environment:
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      <<: *default-env
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      DEBUG: true

Avoids repetition. Avoids bugs. Keeps things readable.

📖 Compose File Fragments

Resource Limits: Be a Good Container Citizen#

Even on dev clusters, don’t let your container eat the whole node.

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services:
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  ai-worker:
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    image: my-ai-image
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    deploy:
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      resources:
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        limits:
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          cpus: "1.0"
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          memory: "1G"
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        reservations:
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          cpus: "0.5"
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          memory: "512M"

Yes, deploy is ignored by docker compose in local mode. But if you’re handing this off to Swarm or translating to Kubernetes, you’ll thank yourself later.

Compose to Kubernetes: The Good, The Bad, and The “Use Kompose”#

Want to convert a Compose stack to Kubernetes YAMLs? Kompose can do that — and it’s not terrible.

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kompose convert

You’ll still need to:

Set up Ingress/controllers manually
Configure PVCs and storage
Handle secrets the Kubernetes way

But for MVPs and small internal tools? It works.

Just don’t try to “productionize” the result without cleaning it up.

Final Take#

Docker Compose isn’t just for spinning up a quick Redis container anymore. Used right, it’s a powerhouse — especially for AI workflows that live and breathe in multi-service setups.

It helps you:

Develop locally at full speed
Keep secrets out of images
Minimize downtime during builds
Offload to Kubernetes when you’re ready

If you’re building AI services and you’re not using Compose effectively, you’re working harder than you need to.

📖 Read the Full Compose Docs

Patreon Exclusives#

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Tools I Personally Trust#

If you’re building, breaking, and trying to keep your digital life sane (like every good DevOps engineer), these are tools I actually use every day:

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💜 These links give you discounts - and help support the channel at no extra cost.

Gear & Books I Trust#

📕 Essential DevOps books
🖥️ Studio streaming & recording kit
📡 Streaming starter kit

🎬 YouTube
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🎨 Instagram
🐘 Mastodon
🧵 Threads
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💻 LinkedIn
📣 daily.dev Squad
✈️ Telegram
🐈 GitHub

Community of IT Experts#

👾 Discord

Refill My Coffee Supplies#

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Is this content AI-generated?

No. Every article on this blog is written by me personally, drawing on decades of hands-on IT experience and a genuine passion for technology.

I use AI tools exclusively to help polish grammar and ensure my technical guidance is as clear as possible. However, the core ideas, strategic insights, and step-by-step solutions are entirely my own, born from real-world work.

Because of this human-and-AI partnership, some detection tools might flag this content. You can be confident, though, that the expertise is authentic. My goal is to share road-tested knowledge you can trust.