OpenClaw Production Deployment Patterns for AI Agents

Hosting Models for OpenClaw Agents

Your hosting choice determines operational overhead, scaling flexibility, and how much infrastructure you must manage manually.

Resource Requirements and Burst Patterns

OpenClaw exhibits burst-based resource consumption: idle periods followed by CPU and memory spikes during workflow execution. Plan capacity for peak, not average usage.

VPS Deployment: Docker Setup

For standard VPS hosting, install Docker Engine and Docker Compose on Ubuntu 22.04 LTS.

# Update package index and install prerequisites
sudo apt-get update
sudo apt-get install -y ca-certificates curl gnupg lsb-release

# Add Docker's official GPG key
sudo mkdir -p /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg

# Set up the stable repository
echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
  $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

# Install Docker Engine and Compose
sudo apt-get update
sudo apt-get install -y docker-ce docker-ce-cli containerd.io docker-compose-plugin

# Verify installation
sudo docker run hello-world

Configuration and Environment

Define resource limits, networking, and secrets in docker-compose.yml. This example configures memory caps and gateway authentication.

version: '3.8'

services:
  openclaw:
    image: ghcr.io/openclaw/openclaw:latest
    container_name: openclaw-agent
    restart: unless-stopped
    ports:
      - "18789:18789"
    environment:
      - OPENCLAW_GATEWAY_TOKEN=${GATEWAY_TOKEN}
      - TELEGRAM_BOT_TOKEN=${TELEGRAM_TOKEN}
      - LLM_PROVIDER=openai
      - LLM_MODEL=gpt-4-turbo
      - LOG_LEVEL=info
    deploy:
      resources:
        limits:
          cpus: '2'
          memory: 6G
        reservations:
          cpus: '1'
          memory: 4G
    volumes:
      - openclaw-data:/app/data
      - openclaw-logs:/app/logs
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:18789/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s

volumes:
  openclaw-data:
    driver: local
  openclaw-logs:
    driver: local

Scaling Strategies

Choose horizontal or vertical scaling based on your agent architecture and message patterns.

Common Anti-Patterns

Avoid these infrastructure mistakes that cause silent failures and security exposure.

• Deploying on shared hosting without Docker support
• Allocating only 1–2 GB RAM for production workloads
• Exposing port 18789 directly to the internet without firewall rules
• Using latest tag without pinning to a specific version
• Skipping healthchecks and container restart policies
• Storing API keys in plaintext in the Docker layer
• Ignoring swap configuration on memory-constrained hosts
• Running without log aggregation or retention policies

When to Choose Managed Hosting

If your team lacks dedicated DevOps resources or needs to ship AI agents within days, managed platforms eliminate infrastructure friction. Services like easyclawd.com provision isolated OpenClaw containers with token-based authentication and Cloudflare Tunnel access—no Docker or firewall configuration required. This model suits automation-first teams prioritizing workflow logic over server management.

See Also

• OpenClaw Gateway Authentication — https://docs.openclaw.org/security/gateway-tokens
• Docker Resource Constraints Best Practices — https://docs.docker.com/config/containers/resource_constraints/
• Monitoring LLM Agent Metrics — https://blog.agentops.ai/openclaw-observability-guide