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Complete restructure from patterns/examples/reference to technology-focused directories: • Created technology-specific directories with comprehensive documentation: - /tdarr/ - Transcoding automation with gaming-aware scheduling - /docker/ - Container management with GPU acceleration patterns - /vm-management/ - Virtual machine automation and cloud-init - /networking/ - SSH infrastructure, reverse proxy, and security - /monitoring/ - System health checks and Discord notifications - /databases/ - Database patterns and troubleshooting - /development/ - Programming language patterns (bash, nodejs, python, vuejs) • Enhanced CLAUDE.md with intelligent context loading: - Technology-first loading rules for automatic context provision - Troubleshooting keyword triggers for emergency scenarios - Documentation maintenance protocols with automated reminders - Context window management for optimal documentation updates • Preserved valuable content from .claude/tmp/: - SSH security improvements and server inventory - Tdarr CIFS troubleshooting and Docker iptables solutions - Operational scripts with proper technology classification • Benefits achieved: - Self-contained technology directories with complete context - Automatic loading of relevant documentation based on keywords - Emergency-ready troubleshooting with comprehensive guides - Scalable structure for future technology additions - Eliminated context bloat through targeted loading 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Multi-Stage Docker Builds
Basic Multi-Stage Pattern
# Build stage
FROM node:18-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
# Production stage
FROM node:18-alpine AS production
WORKDIR /app
COPY --from=builder /app/node_modules ./node_modules
COPY . .
EXPOSE 3000
CMD ["npm", "start"]
Python with Virtual Environment
# Build stage
FROM python:3.11-slim AS builder
WORKDIR /app
COPY requirements.txt .
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
RUN pip install --no-cache-dir -r requirements.txt
# Production stage
FROM python:3.11-slim AS production
WORKDIR /app
COPY --from=builder /opt/venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
COPY . .
CMD ["python", "app.py"]
Benefits
- Smaller final image size
- Separation of build and runtime dependencies
- Better caching strategies
- Security (no build tools in production image)
Best Practices
- Use specific base image versions
- Copy only necessary files to production stage
- Run as non-root user in production stage
- Use .dockerignore to exclude unnecessary files