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The Docker Container Size Estimator calculates approximate Docker image size based on choice of base image (alpine, debian, distroless, scratch), runtime (Node.js, Python, Go, Java), package dependencies, application code, and build tools. Container size impacts pull time (CI/CD speed), storage costs (registry fees), and security surface (more code = more vulnerabilities). Smaller images deploy faster and are more secure.
Formule
- B
- Base Image Size (MB) — Size of selected base layer
- L
- Layers (count) — Number of layers in Dockerfile
Guide étape par étape
- 1Select base image: scratch (0 MB, static binaries only), alpine (7 MB, minimal), distroless (25 MB, no shell), wolfi-base (12 MB, modern alternative), debian-slim (80 MB), debian (120 MB), ubuntu (78 MB)
- 2Select runtime: none (Go static), Node.js 20 (~140 MB), Python 3.11 (~55 MB), Python slim (~35 MB), Java 17 JRE (~170 MB), etc.
- 3Enter number of packages (npm, pip, apt-get) and average size per package
- 4Enter application code size in MB
- 5Optionally include build tools (~200 MB if you don't use multi-stage builds)
- 6Enter number of layers in your Dockerfile (each adds ~0.5 MB overhead)
- 7Calculator sums components and categorizes: small (<100 MB), medium (<300 MB), large (<800 MB), very large (>800 MB)
Exemples résolus
Erreurs courantes à éviter
- ✕Using full debian/ubuntu when alpine or distroless would work — typical 100+ MB savings
- ✕Not using multi-stage builds — leaves build tools in production image, often doubling size
- ✕Excessive RUN commands creating excessive layers — each adds overhead and reduces cache efficiency
- ✕apt-get install without --no-install-recommends — adds tens of MB of unwanted packages
Questions fréquentes
Why does container size matter?
Larger images = slower pulls (CI/CD bottleneck), higher registry storage costs, larger attack surface (more vulnerable code), slower deploys, slower autoscaling.
What's the smallest practical Node.js image?
node:20-alpine (~140 MB) or use multi-stage build with distroless/nodejs as final stage (~80 MB). For maximum compression, use bun:alpine or Deno static binaries.
Is alpine always best?
No — alpine uses musl libc which can cause compatibility issues with some packages (especially Python wheels). Distroless or Debian-slim are safer for Python; alpine excels for Node.js and Go.
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