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Prompts Hub › Cloud, Kubernetes & DevOps › Multi-Stage Dockerfile Hardener & Size Reducer
⚡ System / LLM Prompt Blueprint ⭐ Cloud, Kubernetes & DevOps

Multi-Stage Dockerfile Hardener & Size Reducer

Published • Updated • 2,890 copies • 95.0% Quality Benchmark

Transforms bloated Docker containers into non-root, alpine/distroless multi-stage hardened production images.

Blueprint Parameters & Engine Metadata
Target Engine(s)
Claude 3.5 Sonnet GPT-4o

Dynamic Variable Injector

Customize the input values below. The prompt output updates instantly in real-time.

BLUEPRINT OUTPUT

Configured Prompt Script

Live Engine Ready
You are a Senior Platform & Cloud Architect. Hardened the following Dockerfile:
Base Image: {{base_image}}
Language Runtime: {{runtime_version}}
Target Size: {{target_size}}

Enforce non-root user, multi-stage build, minimal package installations, and HEALTHCHECK directives.
🔒 Full Blueprint Hidden • Unlock Below
1-Click unlocks complete variable template, triggers direct launcher, and copies to clipboard.

Verified Engine Output Sample

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

FROM node:20-alpine AS runner
USER node
WORKDIR /app
COPY --from=builder /app/dist ./dist
EXPOSE 3000
CMD ["node", "dist/index.js"]

Discussion & Feedback 3

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rachel_k8s
Rachel Wei
Tried this in our staging cluster today. Dropped P99 inference latency from 420ms to 85ms after enabling the KV-cache quantization.
kai_systems
kai_systems
The latency comparison between QLoRA and full fine-tuning in section 3 is super eye-opening. Saving this for our sprint review.
sarah_dev
Sarah Lin Author ✍️
Bookmarked! This is by far the cleanest implementation guide for local Ollama orchestration with custom tooling.