Dockerization

Docker Multi-Stage Builds: Cut Your Image Size by 80%

Multi-stage builds are Docker's most powerful optimization feature, yet most teams still ship single-stage images packed with compilers, build tools, and dev dependencies. We implement multi-stage Dockerfiles that separate build-time concerns from runtime, producing images that are 5-10x smaller with zero build tooling in production.

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The Problem with Single-Stage Builds

A single-stage Dockerfile that installs build tools, compiles code, and runs the app in the same image carries enormous waste. A typical Node.js app on node:20 with dev dependencies weighs 1.2 GB. A Go app on golang:1.22 ships the entire Go toolchain at 800 MB. A Python app with gcc and python3-dev for native extensions keeps those 200 MB of compilers forever.

Every extra MB increases pull times, storage costs, and your CVE attack surface. Build tools like gcc, make, and npm have known vulnerabilities that are completely irrelevant to your runtime but still show up in security scans.

How We Implement Multi-Stage Builds

The pattern is simple but the details matter:

# Stage 1: Build
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

# Stage 2: Runtime
FROM node:20-alpine AS runner
WORKDIR /app
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
USER node
CMD ["node", "dist/main.js"]

Key techniques we apply: dependency-only layers first (copy lockfile before source for cache hits), pruning dev deps after build (npm prune --omit=dev), minimal base images in the runtime stage (Alpine, slim, distroless, or scratch), and COPY --from to cherry-pick only production artifacts.

Real Results We Deliver

Node.js: 1.2 GB → 180 MB (Alpine + pruned deps) or 150 MB (standalone)
Go: 800 MB → 12 MB (scratch) or 20 MB (distroless)
Python: 900 MB → 150 MB (slim + virtualenv copy)
Java: 600 MB → 150 MB (custom JRE via jlink)
Rust: 1.4 GB → 15 MB (musl static + scratch)
.NET: 800 MB → 90 MB (chiseled runtime)

Every implementation includes a .dockerignore tuned for the language, a Compose file with health checks and resource limits, and CI pipeline steps with BuildKit layer caching.

Why Anubiz Engineering

100% async — no calls, no meetings

Delivered in days, not weeks

Full documentation included

Production-grade from day one

Security-first approach

Post-delivery support included

Ready to get started?

Skip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.

Start a Brief Dockerization Service