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Running OpenClaw in Production

A Complete Guide to Securely Deploying, Operating, and Scaling Self-Hosted AI Agents

This book is 100% completeLast updated on 2026-07-13

OpenClaw in Production shows you how to run OpenClaw as a secure, reliable service that can handle real workloads. Whether you're deploying on a Raspberry Pi or operating a Kubernetes cluster, you'll learn the practical skills needed to keep your agents stable, secure, and easy to manage as they grow from a single instance to production at scale.

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About the Book

This book is the definitive reference for running OpenClaw as a reliable, secure production service. Whether you are deploying your first agent on a Raspberry Pi or managing a fleet of Kubernetes pods serving thousands of daily conversations, this book gives you the architectural understanding, configuration expertise, and operational discipline needed to keep your deployment healthy under real-world conditions. You will learn how to harden every attack surface, manage secrets safely, monitor performance in real time, recover from failures, and scale OpenClaw without losing control. If you want your AI agent to be a dependable colleague rather than a fragile toy, this is the book to read.

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About the Author

Steve Publications

Steve is a technology professional with more than 20 years of experience in software development, server infrastructure, cybersecurity, vulnerability research and reverse engineering. Throughout his career, he has designed, secured, analyzed and tested complex software and infrastructure, with a particular focus on understanding how systems fail and how they can be made more secure.

Outside of work, Steve enjoys sharing knowledge with the technology community. He collaborates with researchers, industry experts and technology professionals to write practical books covering software development, cybersecurity, cloud computing, networking, DevOps, artificial intelligence and enterprise technologies. His books focus on practical learning through clear explanations, real-world examples and hands-on exercises. With more than two decades of industry experience, his goal is to help IT professionals, students and technology enthusiasts build useful skills and stay current in a rapidly changing industry.

We believe readers deserve to know how our books are created. Most of our authors are not native English speakers, so we use AI to help translate, proofread manuscripts, fix grammar, improve sentence structure and make technical explanations easier to read. AI is used as an editing tool only. It does not replace the research, technical knowledge or hands-on experience behind our books. Some of our authors also prefer to remain anonymous for privacy or professional reasons. In those cases, we publish their work under a different name. The author's name may be different, but the quality of the content and our review process remain the same.

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Contents

Table of Contents

A Complete Guide to Securely Deploying, Operating, and Scaling Self-Hosted AI Agents

Introduction: The Production Mindset

Chapter 1: What Is OpenClaw? Architecture and Design Philosophy

  1. The Self-Hosted AI Agent Landscape
  2. Three-Layer Architecture: Gateway, Channels, LLM
  3. The Pi Agent Core and the Conversation Loop
  4. Canvas: The Visual Workspace
  5. Multi-Agent Support and Per-Agent Configuration
  6. Trust Boundaries and Threat Model Overview

Chapter 2: System Requirements and Installation

  1. Hardware Specifications by Use Case
  2. Operating System Support
  3. Node.js Version Requirements
  4. Installation via npm
  5. The Onboard Wizard and Daemon Installation
  6. Verifying the Installation
  7. Troubleshooting Common Install Failures

Chapter 3: Configuration Deep Dive

  1. The Configuration File Format and Discovery Rules
  2. Editing Configuration: Four Methods
  3. Gateway Settings: Host, Port, Auth Mode, Trusted Proxy
  4. Agent Configuration: Defaults, Per-Agent Profiles, Skill Allowlists
  5. Channel Configuration Overview
  6. Tools and Exec Policy Configuration
  7. Session Management and Memory Injection
  8. Environment Variable Overrides and Dotenv Integration

Chapter 4: Authentication, Authorization, and Secrets Management

  1. LLM Provider Authentication: API Keys, OAuth Flows, and Token Refresh
  2. Auth Profiles and Multi-Account Management
  3. Gateway Connection Authentication: API Key, Trusted-Proxy, and Tailscale
  4. Secret Reference Providers: Environment Variables, Files, and External Systems
  5. Credential Resolution at Startup and Rotation Procedures
  6. Production Secrets Management Best Practices

Chapter 5: Channel Integration and Multi-Channel Operations

  1. WhatsApp Setup: QR Login and Linked Devices
  2. Telegram Bot Creation and Token Configuration
  3. Discord Bot Setup with OAuth2 Application Tokens
  4. Slack Workspace Integration and App Configuration
  5. Signal, iMessage, Matrix, and Other Channels
  6. Per-Channel Routing, Mention Gating, and Group Policy
  7. Multi-Agent Channel Assignment

Chapter 6: LLM Integration: Cloud Providers and Local Models

  1. Supported Cloud Providers: OpenAI, Anthropic, Google, OpenRouter, and Others
  2. Provider Configuration with Auth Profiles and Failover Chains
  3. LiteLLM Integration for Unified Multi-Provider Routing
  4. Local Model Setup with Ollama, LM Studio, and vLLM
  5. Hardware Requirements for Local Inference
  6. Model Selection Trade-Offs: Quality vs Cost vs Latency vs Privacy

Chapter 7: Docker and Kubernetes Deployment

  1. Pre-built Images and GitHub Container Registry (GHCR)
  2. Docker Compose Production Template with Annotations
  3. Volume Mounts, Resource Limits, and Logging Configuration
  4. Custom Dockerfile for Air-Gapped or Hardened Environments
  5. Kubernetes Core Resources: Deployment, Service, ConfigMap, Secret
  6. Persistent Volumes for State and Workspace
  7. The OpenClaw Operator for Automated Lifecycle Management
  8. Health Checks, Rolling Updates, and Pod Disruption Budgets
  9. Ingress Configuration with TLS Termination

Chapter 8: Networking, TLS, and Reverse Proxy Setup

  1. Default Port Exposure and Firewall Hardening
  2. Reverse Proxy Architecture: Nginx, Caddy, and Traefik
  3. TLS Certificate Management with Let’s Encrypt and Certbot
  4. WebSocket Upgrade Support for Real-Time Channels
  5. Trusted Proxy Authentication Mode
  6. Tailscale Integration for Secure Remote Access
  7. Kubernetes Ingress with TLS Termination

Chapter 9: Security Hardening and Threat Mitigation

  1. Threat Model for Self-Hosted AI Agents
  2. Exec Tool Security Policies: Sandbox vs Gateway, Allowlist Enforcement
  3. Filesystem Permissions on State, Config, and Credentials Directories
  4. Tool Policy Configuration: Allow/Deny Lists and Approval Workflows
  5. Prompt Injection Defense Strategies
  6. Docker Container Hardening
  7. Network-Level Controls: Bind to Localhost, Disable Control UI When Unnecessary
  8. Audit Findings and the Security Audit System
  9. Incident Response Procedures

Chapter 10: Monitoring, Logging, and Observability

  1. Built-in Logging Configuration and Log Levels
  2. The Prometheus Metrics Plugin for Gateway Diagnostics
  3. Grafana Dashboard Setup and Example Queries
  4. OpenTelemetry Integration for Traces and Structured Logs
  5. Alerting Strategies: When to Page, What to Monitor

Chapter 11: Backups, Updates, and Disaster Recovery

  1. What State Lives Where: Config, Workspace, Memory, Sessions, Credentials
  2. The openclaw backup Command and What It Captures
  3. Automated Backup Strategies with Cron and Cloud Storage
  4. Update Procedures: Rolling Updates, Version Pinning, and Rollback Strategies
  5. Migration Between Machines or Environments
  6. Disaster Recovery Runbook: Complete Restore Sequence

Chapter 12: Performance Tuning, Compliance, and Operational Best Practices

  1. Concurrency Tuning: Max Concurrent Skills and Session Limits
  2. LLM Call Optimization: Caching, Batching, and Prompt Compression
  3. Resource Management for Multi-Agent Deployments
  4. Privacy Considerations: Data Residency, PII Handling, and GDPR Implications
  5. Compliance Frameworks: SOC 2, HIPAA, and FedRAMP Considerations
  6. Change Management and Configuration Versioning (GitOps)
  7. Incident Response Procedures
  8. Documentation and Runbook Maintenance
  9. Building an OpenClaw Operations Culture

Conclusion: The Production Mindset, Revisited

References

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