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optimize-docker-build-cache

pjt222
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Metadesign

About

This skill provides Docker build optimization techniques using layer caching, multi-stage builds, and BuildKit to significantly reduce build times. It's designed for R, Node.js, and Python projects where repeated dependency installations and large image sizes slow development. Use it when code changes trigger full rebuilds or when CI/CD pipelines become bottlenecks.

Quick Install

Claude Code

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npx skills add pjt222/agent-almanac -a claude-code
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git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/optimize-docker-build-cache

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Documentation

Optimize Docker Build Cache

Reduce Docker build times through effective layer caching and build optimization.

When to Use

  • Docker builds are slow due to repeated package installations
  • Rebuilds reinstall all dependencies on every code change
  • Image sizes are unnecessarily large
  • CI/CD pipeline builds are a bottleneck

Inputs

  • Required: Existing Dockerfile to optimize
  • Optional: Target build time improvement
  • Optional: Target image size reduction

Procedure

Step 1: Order Layers by Change Frequency

Place least-changing layers first:

# 1. Base image (rarely changes)
FROM rocker/r-ver:4.5.0

# 2. System dependencies (change occasionally)
RUN apt-get update && apt-get install -y \
    libcurl4-openssl-dev \
    libssl-dev \
    && rm -rf /var/lib/apt/lists/*

# 3. Dependency files only (change when deps change)
COPY renv.lock renv.lock
COPY renv/activate.R renv/activate.R
RUN R -e "renv::restore()"

# 4. Source code (changes frequently)
COPY . .

Key principle: Docker caches each layer. When a layer changes, all subsequent layers are rebuilt. Dependency installation should come before source code copy.

Got: The Dockerfile layers are ordered from least-changing (base image, system deps) to most-changing (source code), with dependency lockfiles copied before the full source.

If fail: If builds still reinstall dependencies on every code change, verify that COPY . . comes after the dependency installation RUN command, not before.

Step 2: Separate Dependency Installation from Code

Bad (rebuilds packages on every code change):

COPY . .
RUN R -e "renv::restore()"

Good (only rebuilds packages when lockfile changes):

COPY renv.lock renv.lock
RUN R -e "renv::restore()"
COPY . .

Same pattern for Node.js:

COPY package.json package-lock.json ./
RUN npm ci
COPY . .

Got: Dependency lockfile (renv.lock, package-lock.json, requirements.txt) is copied and installed in a separate layer before the full source code COPY . ..

If fail: If the lockfile copy fails, ensure the file exists in the build context and is not excluded by .dockerignore.

Step 3: Use Multi-Stage Builds

Separate build dependencies from runtime:

# Build stage - includes dev tools
FROM rocker/r-ver:4.5.0 AS builder
RUN apt-get update && apt-get install -y \
    libcurl4-openssl-dev libssl-dev build-essential
COPY renv.lock .
RUN R -e "install.packages('renv'); renv::restore()"

# Runtime stage - minimal image
FROM rocker/r-ver:4.5.0
RUN apt-get update && apt-get install -y \
    libcurl4 libssl3 \
    && rm -rf /var/lib/apt/lists/*
COPY --from=builder /usr/local/lib/R/site-library /usr/local/lib/R/site-library
COPY . /app
WORKDIR /app
CMD ["Rscript", "main.R"]

Got: The Dockerfile has a builder stage with dev tools and a runtime stage with only production dependencies. The final image is significantly smaller than a single-stage build.

If fail: If COPY --from=builder fails to find libraries, verify the install path matches between stages. Use docker build --target builder . to debug the build stage independently.

Step 4: Combine RUN Commands

Each RUN creates a layer. Combine related commands:

Bad (3 layers, apt cache persists):

RUN apt-get update
RUN apt-get install -y curl git
RUN rm -rf /var/lib/apt/lists/*

Good (1 layer, clean cache):

RUN apt-get update && apt-get install -y \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/*

Got: Related apt-get or package install commands are combined into single RUN instructions, each ending with cache cleanup (rm -rf /var/lib/apt/lists/*).

If fail: If a combined RUN command fails midway, temporarily split it to identify the failing command, then recombine after fixing.

Step 5: Use .dockerignore

Prevent unnecessary files from entering the build context:

.git
.Rproj.user
.Rhistory
.RData
renv/library
renv/cache
node_modules
docs/
*.tar.gz
.env

Got: A .dockerignore file exists in the project root excluding .git, node_modules, renv/library, build artifacts, and environment files. Build context size is noticeably smaller.

If fail: If needed files are missing in the container, check .dockerignore for overly broad patterns. Use docker build verbose output to verify which files are sent to the daemon.

Step 6: Enable BuildKit

DOCKER_BUILDKIT=1 docker build -t myimage .

Or in docker-compose.yml:

services:
  app:
    build:
      context: .
      dockerfile: Dockerfile

With COMPOSE_DOCKER_CLI_BUILD=1 and DOCKER_BUILDKIT=1 environment variables.

BuildKit enables:

  • Parallel stage builds
  • Better cache management
  • --mount=type=cache for persistent package caches

Got: Builds run with BuildKit enabled (indicated by #1 [internal] load build definition style output). Multi-stage builds execute stages in parallel where possible.

If fail: If BuildKit is not active, verify the environment variables are exported before the build command. On older Docker versions, upgrade Docker Engine to 18.09+ for BuildKit support.

Step 7: Use Cache Mounts for Package Managers

# R packages with persistent cache
RUN --mount=type=cache,target=/usr/local/lib/R/site-library \
    R -e "install.packages('dplyr')"

# npm with persistent cache
RUN --mount=type=cache,target=/root/.npm \
    npm ci

Got: Subsequent builds reuse cached packages from the mount, dramatically reducing install times even when the layer is invalidated. Cache persists across builds.

If fail: If --mount=type=cache is not recognized, ensure BuildKit is enabled (DOCKER_BUILDKIT=1). The syntax requires BuildKit and is not supported by the legacy builder.

Validation

  • Rebuilds after code-only changes are significantly faster
  • Dependency installation layer is cached when lockfile has not changed
  • .dockerignore excludes unnecessary files
  • Image size is reduced compared to unoptimized build
  • Multi-stage build (if used) separates build and runtime dependencies

Pitfalls

  • Copying all files before installing deps: Invalidates the dependency cache on every code change
  • Forgetting .dockerignore: Large build contexts slow down every build
  • Too many layers: Each RUN, COPY, ADD creates a layer. Combine where logical.
  • Not cleaning apt cache: Always end apt-get installs with && rm -rf /var/lib/apt/lists/*
  • Platform-specific caches: Cache layers are platform-specific. CI runners may not benefit from local caches.

Related Skills

  • create-r-dockerfile - initial Dockerfile creation
  • setup-docker-compose - compose build configuration
  • containerize-mcp-server - apply optimizations to MCP server builds

GitHub Repository

pjt222/agent-almanac
Path: i18n/caveman-lite/skills/optimize-docker-build-cache
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