Guide Overview: Learn professional Clawdbot deployment with Docker. This guide covers Dockerfile creation, container orchestration, volume management, and production best practices. Perfect for teams running multiple agents or production workloads.
Docker transforms Clawdbot deployment from chaotic manual setup to reproducible, scalable infrastructure. After managing 50+ Clawdbot containers across development, staging, and production environments, I've learned what separates amateur Docker usage from professional deployments. This guide shares those hard-won lessons.
The biggest advantage of containerized Clawdbot is environment consistency. Build once, deploy anywhere. No more "works on my machine" problems. Your development container runs identically in production. For teams, this is transformational. For solo developers, it simplifies testing and rollbacks.
Why Docker for Clawdbot
Container Benefits for AI Agents
Isolation
Each agent runs in isolated environment. No dependency conflicts between different Clawdbot versions or Node.js installations.
Reproducibility
Same Docker image runs identically everywhere. Eliminates environment-specific bugs and configuration drift.
Scalability
Launch 10 agents as easily as one. Docker Compose orchestrates multiple containers with single command.
Rollbacks
Tag each image with version. Bad update? Roll back to previous image in seconds, not hours.
When NOT to Use Docker
If you're running a single Clawdbot agent for personal use on your laptop, Docker adds complexity without much benefit. The standard installation is simpler and equally effective.
Use Docker when: Running multiple agents, deploying to servers, working in teams, or need production-grade reliability.
Prerequisites
Required Software
- Docker Desktop 4.20+ (Windows/Mac) or Docker Engine (Linux)
- Docker Compose 2.0+ (included in Docker Desktop)
- Git for cloning Clawdbot repository
- Text editor (VS Code, Vim, etc) for editing Dockerfile
API Credentials
- Anthropic API Key from console.anthropic.com
- Telegram Bot Token from @BotFather
- Optional: OpenAI, WhatsApp Business credentials
Network Requirements
Docker pulls base images (300-500MB) and Clawdbot dependencies (350MB+). Slow connections cause build failures.
Recommended: VPN07's 1000Mbps network completes Docker builds in 6-8 minutes. Throttled connections fail with timeout errors.
Creating Production Dockerfile
Optimized Dockerfile for Clawdbot
# Use official Node.js 22 Alpine image for minimal size FROM node:22-alpine # Install system dependencies RUN apk add --no-cache \ python3 \ make \ g++ \ git \ curl # Create app directory WORKDIR /app # Copy package files first (for layer caching) COPY package*.json ./ # Install dependencies RUN npm ci --only=production # Copy application code COPY . . # Create non-root user for security RUN addgroup -g 1001 -S clawbot && \ adduser -S clawbot -u 1001 # Set ownership RUN chown -R clawbot:clawbot /app # Switch to non-root user USER clawbot # Expose port (if using web interface) EXPOSE 3000 # Health check HEALTHCHECK --interval=30s --timeout=10s --start-period=40s \ CMD node healthcheck.js || exit 1 # Start Clawdbot CMD ["node", "index.js"]
Key Optimization Techniques
- Layer Caching: Copy package.json before source code. Rebuilds skip npm install if dependencies unchanged.
- Alpine Base: Alpine Linux reduces image size from 900MB to 300MB without losing functionality.
- Non-Root User: Run as unprivileged user for security. Prevents container breakout attacks.
- Health Check: Docker monitors agent health and auto-restarts on failures.
Docker Compose Configuration
Create docker-compose.yml
version: '3.8' services: clawdbot: build: context: . dockerfile: Dockerfile container_name: clawdbot-agent restart: unless-stopped environment: - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY} - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN} - NODE_ENV=production volumes: - ./data:/app/data - ./logs:/app/logs - ./config:/app/config:ro networks: - clawbot-network logging: driver: "json-file" options: max-size: "10m" max-file: "3" networks: clawbot-network: driver: bridge
Configuration Highlights: Environment variables kept in .env file (not committed to git). Volumes persist data across container restarts. Logging limits prevent disk space exhaustion.
Create .env File
Store sensitive credentials in .env file in same directory as docker-compose.yml:
TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHI
NODE_ENV=production
Add .env to .gitignore to prevent committing API keys!
Building and Running
1 Build Docker Image
First build downloads Node.js base image (300MB) and installs dependencies (350MB). With 1000Mbps connection, completes in 6-8 minutes. Progress bars show download status.
2 Start Container
Flag -d runs container in background (detached mode). Container starts in 5-10 seconds.
3 View Logs
Flag -f follows logs in real-time. Watch agent connect to Claude API and initialize.
4 Verify Running Status
Shows container status. "Up" status with health check "healthy" confirms successful start.
Volume Management
Understanding Docker Volumes
./data Volume
Stores agent state, downloaded skills, and runtime data. Persists across container restarts and updates. Critical for maintaining agent memory.
./logs Volume
Container logs persist here for debugging. Separate from Docker logs (which have size limits). Useful for audit trails and error investigation.
./config Volume (Read-Only)
Configuration files mounted read-only. Container cannot modify config, preventing corruption. Update config by editing host files and restarting container.
Volume Backup Strategy
Containers are ephemeral but data must persist. Regular backups prevent data loss during updates or failures.
Run daily backups. Store compressed archive in separate location or cloud storage.
Running Multiple Agents
Scale to Multiple Containers
Docker Compose makes running multiple Clawdbot agents trivial. Each agent gets isolated environment with own API keys and configuration.
# Scale to 5 agents docker-compose up -d --scale clawdbot=5 # Check all running agents docker-compose ps # View logs from specific agent docker-compose logs clawdbot-agent-3
Resource Considerations
- RAM: Each agent needs 500MB-1GB. Monitor with
docker stats - Bandwidth: Multiple agents multiply API traffic. VPN07's 1000Mbps handles 10+ agents simultaneously
- Storage: Each agent generates 2-5GB monthly logs and data. Plan disk capacity accordingly
Production Best Practices
✅ Always use tagged images
Never use :latest tag in production. Tag images with version numbers or git commit hashes for rollback capability.
docker build -t clawdbot:v1.2.3 .
✅ Implement health checks
Docker monitors agent health and auto-restarts on failures. Prevents silent failures that stop automation.
✅ Limit log file sizes
Configure log rotation in docker-compose.yml. Prevents logs consuming all disk space over weeks of operation.
✅ Use VPN07's 1000Mbps network
Production deployments need reliable bandwidth. VPN07's international infrastructure prevents API timeout errors that crash agents.
✅ Regular security updates
Rebuild images monthly to include Node.js and system security patches. Use docker-compose build --no-cache to force fresh build.
Network Performance for Containers
Why Containerized Clawdbot Needs 1000Mbps
Additional Bandwidth Overhead
- Image Pulls: Base images and updates total 300-500MB per build
- Layer Transfers: Docker registry pushes/pulls consume bandwidth during deployments
- Bridge Network: Container networking adds 5-10% overhead versus native
- Multi-Agent Traffic: 5 agents = 5x API calls simultaneously
Common Docker Commands
Essential Commands Cheat Sheet
Stop and remove all containers
Restart all services
Open shell inside running container for debugging
Clean up unused images and containers to free disk space
Real-time resource usage (CPU, RAM, network) for all containers