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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 2026-07-03
Steve T. Publications

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 T. Publications

Steve T. is a cybersecurity leader, researcher, and engineer with more than 20 years of experience across application security, infrastructure security, vulnerability management, software development, and secure engineering practices. Having built his career alongside the growth of the modern internet, he has worked through multiple generations of technology, evolving security threats, and changing development methodologies.

He is currently part of the advanced research organization at a leading cybersecurity company, where he focuses on emerging threats, security innovation, and the practical application of research. His work involves investigating new attack techniques, evaluating emerging technologies, conducting deep technical analysis, and helping organizations better understand and manage complex security risks.

In addition to his research responsibilities, Steve leads a team of senior engineers and subject matter experts who create technical books, training programs, and educational resources for security professionals. Through this work, he helps engineers, developers, architects, and security practitioners strengthen their skills and build more secure systems.

Steve's technical expertise spans software development, reverse engineering, web application security, penetration testing, security architecture, incident response, vulnerability research, operating system internals, and secure software development. His ability to analyze systems at both the source code and binary levels enables him to bridge the worlds of software engineering, security research, and practical defense.

Over the course of his career, Steve has worked with organizations across a wide range of industries, helping them identify, assess, and remediate security weaknesses in critical applications and infrastructure. He is recognized for combining deep technical expertise with a pragmatic approach to security, focusing on solutions that are effective, sustainable, and aligned with business goals.

Through his work in research, engineering, leadership, and education, Steve continues to contribute to the advancement of cybersecurity and the development of secure, resilient technology systems.

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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